BMC Medical Informatics and Decision Making

Papers
(The TQCC of BMC Medical Informatics and Decision Making is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application551
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation429
Analytical validation of Exandra: a clinical decision support system for promoting guideline-directed therapy of type-2 diabetes in primary care – a collaborative study with experts from Diabetes Cana330
Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression299
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning270
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist260
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures183
The development and phase 1 evaluation of a Decision Aid for elective egg freezing178
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project173
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim163
Early prediction of mortality upon intensive care unit admission157
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks141
Timing matters: a machine learning–driven comparison of community and hospital-onset sepsis139
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis132
ProtoMAP: prototypical network based few-shot learning for missed abortion prediction117
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy107
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records106
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram105
Development and validation of the ANGS score for predicting long-term outcomes in acute ischemic stroke patients receiving intravenous thrombolysis104
Machine learning classification of cycloplegic refractive status in children and adolescents using non-cycloplegic data across ten provincial-level administrative divisions102
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning89
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R89
Implementing a quality assurance and maintenance framework for standardized clinical terminology data in a multi-institutional setting86
PhenoNMF: A novel multi-layer matrix factorization framework for age-stratified comprehensive phenotypic similarity analysis83
Supporting parent treatment decision-making in relapsed and refractory neuroblastoma: co-design of a web-based intervention82
Research on the generalization of a blood donor recruitment framework based on machine learning80
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach78
Deep learning analysis of 12-lead electrocardiograms for bloodstream infection prediction: a multi-center validation study77
Performance of large language models in mitral valve surgery patient education: a comparative analysis76
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis75
Data balancing improves mortality prediction for emergency department patients74
From algorithms to action: improving patient care requires causality68
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis66
Insights into prescribing patterns for antidepressants: an evidence-based analysis65
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms64
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging63
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models59
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering59
Data-driven decision making in patient management: a systematic review59
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning57
AMPDECIDE amputation level patient decision aids: a feasibility study57
Deep learning-based classification of dementia using image representation of subcortical signals57
Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies55
Respiratory sound analysis for ICU clinical decision support: deep learning-based classification of normal and abnormal sounds using real ICU data55
Interoperability of heterogeneous health information systems: a systematic literature review54
The Infomóvel—An information system for managing HIV/AIDS patients in rural areas of Mozambique53
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study53
Analysis and knowledge extraction of newborn resuscitation activities from annotation files52
The impact of a patient decision aid for patients with advanced laryngeal carcinoma – a multicenter study51
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules49
Predictive machine learning for postoperative pain using biosignals: a retrospective observational study48
Hand movements prediction via fNIRS and AI algorithms48
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading46
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection46
Development of a machine-learning based diagnosis procedure to distinguish aortic dissection from non-ST-elevation myocardial infarction46
Dynamic fall risk prediction in hospitalized cancer patients: development and validation of a machine learning model using multidimensional clinical data to overcome over-sensitivity in traditional sc45
Conceptual design of a generic data harmonization process for OMOP common data model45
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records45
Building an ultrasound appointment system: focusing on instrument diversity and the scope of physician expertise45
Prediction of malignancy and metastasis of thyroid cancer by combined feature sets through advanced machine learning44
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary43
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic43
AI-assisted tumor board decision-making in pancreatic oncology43
Development and usability evaluation of a mHealth application for albinism self-management42
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey41
Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting40
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study40
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women39
Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis38
Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods38
Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis37
Artificial intelligence for brain-to-speech decoding in paralysis: a systematic review37
Lactate-albumin ratio predicts in-hospital mortality in critically Ill patients with congestive heart failure and diabetes36
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China36
AMIUgraph: analysis and modeling of interactions for utility-driven benchmarking of graph-based models in healthcare35
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks35
The development of a decision aid to support treatment choice in pelvic organ prolapse: a Delphi study35
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis35
Can we ever have evidence-based decision making in orthopaedics? A qualitative evidence synthesis and conceptual framework34
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis34
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods34
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region34
Machine learning approach for the detection of vitamin D level: a comparative study34
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model33
Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in 33
A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all33
Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital–a longitudinal comparative document analysis33
Principles of digital professionalism for the metaverse in healthcare33
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy33
Machine learning-based models for the prediction of breast cancer recurrence risk33
Harnessing computational tools of the digital era for enhanced infection control32
Analyzing longitudinal antidiabetic medication patterns: a data-driven clustering framework32
Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method32
Machine learning approach to analyzing complex care coordination patterns for medically complex children31
Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana31
Physicians’ preferences for the use of clinical decision support systems in the context of acutely ill children presenting to ambulatory care: a focus group study31
Effect of short message service reminders in improving optimal antenatal care, skilled birth attendance and postnatal care in low-and middle-income countries: a systematic review and meta-analysis31
A mixture cure modeling framework for survival analysis of hospitalized COVID-19 patients: implications for hospital resource management31
Drug closed-loop management system using mobile technology30
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods30
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia30
The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation30
A heart failure classification model from radial artery pulse wave using LSTM neural networks29
Early classification of functional connectomes in Parkinson’s disease: a comparison of machine learning classifiers using multi-scale topological features29
Predicting the frequent exacerbator phenotype in COPD: development and validation of a multicenter real-world prediction model28
Risk assessment and prediction of early blood transfusion after joint replacement surgery: a clinical decision support model based on machine learning28
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression28
Decision fatigue of surrogate decision-makers: a scoping review28
CardioGraph: a platform to study variations associated with familiar cardiopathies28
A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models28
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study27
Chinese medical entity recognition based on the dual-branch TENER model27
The social experience of uncertainty: a qualitative analysis of emergency department care for suspected pneumonia for the design of decision support27
Predicting peripheral venous catheter related phlebitis using machine learning (PPML): development and prospective validation of PPML for cardiology inpatients27
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation27
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic26
Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment26
Development of a machine learning-based acuity score prediction model for virtual care settings26
Machine learning algorithms for predicting low birth weight in Ethiopia25
Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression25
A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy25
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data25
Healthcare dashboard technologies and data visualization for lipid management: A scoping review25
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making25
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes25
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach25
A novel explainable machine learning-based healthy ageing scale25
Accompanying the prostate cancer patient pathway: evaluation of novel clinical decision support software in patients with early diagnosis of prostate cancer25
Data privacy-aware machine learning approach in pancreatic cancer diagnosis25
Construction and validation of a predictive nomogram for 28-day mortality in critically ill patients with toxic encephalopathy25
Requirements and challenges of hospital dashboards: a systematic literature review24
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis24
Anaesthesia professionals’ perspectives on ECG interpretation and arrhythmia situation awareness with Visual Patient Heart: a qualitative multicentre study24
Predicting the severity of COVID-19 using machine learning methods24
Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination24
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III24
Development of an interpretable machine learning model for predicting prolonged hospital stay in patients with acute exacerbation of chronic obstructive pulmonary disease: a retrospective cohort study24
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation24
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit24
Anticipating the unexpected: a predictive model for early hospital readmissions in kidney transplant recipients using machine learning24
Modeling anesthetic-drug label detection for low-resource operating rooms24
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences23
Risk factors and nomogram model for short-term postoperative complications in patients with hirschsprung disease23
Haematology dimension reduction, a large scale application to regular care haematology data23
Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset23
Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review23
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study23
Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them23
Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs)23
Quantifying optimal inner limiting membrane peeling in macular hole surgery: a machine learning framework for predictive modeling and schematic visualization23
Clinician-in-the-loop screening saturation: predicting annotation yield for efficient EHR review23
Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data22
Modeling-based design of adaptive control strategy for the effective preparation of ‘Disease X’22
Systematic review and meta-analysis of workload among medical records coders in China22
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation22
A synthetic oversampling-based customized ResNet51-Conv1D framework for early colorectal cancer prediction using structured clinical data from the PLCO screening trial22
Application of machine learning for the diagnosis and prognosis of sepsis-induced acute respiratory distress syndrome: a systematic review and meta-analysis22
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review22
Application of artificial intelligence in predicting the results of open-heart surgery: a scoping review22
The association between video or telephone telemedicine visit type and orders in primary care22
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy22
Synthetic cervical spine radiographs: expert validation and transfer learning for low-data settings22
Supervised machine learning model to predict total knee replacement in a large osteoartrhitis real-world evidence dataset using retrospectively 20-year insurance data from Israel22
Performance fairness of neural network models in early risk assessment of inpatients with varying severity: a retrospective study22
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish21
Leveraging laboratory biomarkers to predict urosepsis after upper urinary tract stone surgery: an explainable machine learning approach21
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges21
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis21
Retraction Note: Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence21
Artificial intelligence for pediatric rare disease diagnosis: a multimethod study integrating published evidence and clinician interviews21
A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing21
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea21
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches21
Applications of digital twin technology in cardiometabolic disease management: a scoping review20
Risk prediction of sepsis-associated acute kidney injury: development, validation of a machine learning model with multicenter data20
Context factors in clinical decision-making: a scoping review20
The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis20
Machine learning-based prediction of ventilator therapeutic pressure for optimized CPAP titration20
Application of machine learning techniques for predicting survival in ovarian cancer20
Machine learning and traditional regression approaches to predict risk of cardiovascular events in patients with acute coronary syndrome20
Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators20
Cardiac arrhythmia detection via PQRST analyzed data using an optimized hierarchical fused fuzzy deep reinforcement learning20
Assessment of compliance to the guidelines on nutritional support in a neonatal intensive care unit: association with an electronic health Records implementation20
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis20
Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands20
A novel EEG-based major depressive disorder detection framework with two-stage feature selection20
Designing and evaluating a mobile app to assist patients undergoing coronary angiography and assessing its impact on anxiety, stress levels, and self-care20
Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda20
An evaluation of GPT models for phenotype concept recognition20
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis20
Precision cancer medicine and the doctor-patient relationship: a systematic review and narrative synthesis19
Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study19
Descriptive forest: experiments on a novel tree-structure-generalization method for describing cardiovascular diseases19
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis19
AI-assisted haematology: machine learning–based prediction of iron-deficiency anaemia from reticulocyte maturation indices19
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study19
Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review19
Proposal of a procedure to stratify the reidentification risk of medical data: RIMEDA19
Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making19
Correction: Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method19
Optimizing myocardial infarction detection: a hybrid CNN-GRU deep learning approach19
An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse19
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records19
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population19
The coming Omicron waves and factors affecting its spread after China reopening borders19
Machine learning for predicting institutionalization and mortality risks among older home care recipients with routinely collected need assessment data: explainable AI for long-term care19
Development and interpretability of an XGBoost model to predict high grade cervical intraepithelial neoplasia19
Patient decision aid–supported shared decision making and short-term decision-making outcomes in type 2 diabetes: a prospective observational comparative study19
Community perspectives on the use of electronic health data to support reflective practice by health professionals19
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory19
Correction: Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study19
Effects of patient decision aids used pre-consult or in-consult on patient-clinician communication - secondary analysis of a systematic review with meta-analysis19
Machine learning based model for the early detection of Gestational Diabetes Mellitus19
Trusted sources of information on COVID-19 vaccine in Uganda19
CycleGAN-based image-to-image translation for synthetic contrast enhancement in non-contrast cardiac CT: a ViT-CNN hybrid deep learning approach19
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital19
%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests19
Evaluating the usability of Iran’s national comprehensive health information system: a think-aloud study to uncover usability problems in the recording of childcare data19
Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction19
Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times18
Optimization of vision transformer-based detection of lung diseases from chest X-ray images18
Shared decision-making and medication adherence among community adults with chronic diseases: a cross-sectional study in Hubei Province, China18
Multimodal deep learning-based diagnostic model for BPPV18
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework18
Explainable AI for infection prevention and control: modeling CPE acquisition and patient outcomes in an Irish hospital with transformers18
Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality18
Domain and Language adaptive pre-training of BERT models for Korean-English bilingual clinical text analysis18
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS18
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning18
Motivation and challenges in decision making for gastrostomy tube placement and use: a focus on patients with cancer and dysphagia18
Patient values in patient-provider communication about participation in early phase clinical cancer trials: a qualitative analysis before and after implementation of an online value clarification tool18
Correction to: Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings18
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients18
Establishing a prediction model for the therapeutic outcomes of short-term and long-term orthokeratology treatment: using baseline data and changes in AL as dynamic variables18
Interpretable prediction model for severe community-acquired pneumonia in adults: machine learning development and validation using routine laboratory parameters18
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood18
Integrating data science for the analysis of early years health inequalities: a Birmingham, UK case study18
Automated algorithm in catheter-associated urinary tract infection identification using digital health records: validity and barriers in implementation into clinical practice18
Knowledge management strategies and models in health context: a systematic review18
A mathematical and computational framework to predict the time to and recovery from osteoporosis via serial DEXA scans: a proof-of-concept model for digital decision support18
Therapeutic monoclonal antibodies repurposing in oncology via IMGT/mAb-KG embeddings18
Acute respiratory infections prediction through social media data and machine learning: a systematic review18
Factors associated with the local control of brain metastases: a systematic search and machine learning application18
A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening17
Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach17
EDRNet-based adolescent idiopathic scoliosis screening method using bare-back images17
Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study17
Prediction of in-hospital mortality risk in cardiac arrest patients using machine learning models: a study based on the MIMIC-IV database with external validation from Yunnan University Affiliated Hos17
Treatment decision support for esophageal cancer based on PET/CT data using deep learning17
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure17
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