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 2022-06-01 to 2026-06-01.)
ArticleCitations
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application502
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation384
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 Cana299
Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression248
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning243
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist228
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures165
AMPDECIDE amputation level patient decision aids: a feasibility study162
The development and phase 1 evaluation of a Decision Aid for elective egg freezing153
Supporting parent treatment decision-making in relapsed and refractory neuroblastoma: co-design of a web-based intervention143
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines143
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project130
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim126
From algorithms to action: improving patient care requires causality122
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection101
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis100
Early prediction of mortality upon intensive care unit admission95
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks94
Development and validation of the ANGS score for predicting long-term outcomes in acute ischemic stroke patients receiving intravenous thrombolysis87
Machine learning classification of cycloplegic refractive status in children and adolescents using non-cycloplegic data across ten provincial-level administrative divisions84
Respiratory sound analysis for ICU clinical decision support: deep learning-based classification of normal and abnormal sounds using real ICU data82
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis78
PhenoNMF: A novel multi-layer matrix factorization framework for age-stratified comprehensive phenotypic similarity analysis76
Research on the generalization of a blood donor recruitment framework based on machine learning75
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis72
Timing matters: a machine learning–driven comparison of community and hospital-onset sepsis72
ProtoMAP: prototypical network based few-shot learning for missed abortion prediction71
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms66
Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies66
Insights into prescribing patterns for antidepressants: an evidence-based analysis66
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy66
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach63
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records61
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning59
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R57
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram56
Deep learning-based classification of dementia using image representation of subcortical signals55
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning53
Interoperability of heterogeneous health information systems: a systematic literature review52
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering52
Data-driven decision making in patient management: a systematic review52
Development and usability evaluation of a mHealth application for albinism self-management50
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging50
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models50
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region49
The Infomóvel—An information system for managing HIV/AIDS patients in rural areas of Mozambique48
Analysis and knowledge extraction of newborn resuscitation activities from annotation files48
A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all48
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study48
Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis47
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods46
The impact of a patient decision aid for patients with advanced laryngeal carcinoma – a multicenter study46
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules44
Hand movements prediction via fNIRS and AI algorithms43
PheNominal: an EHR-integrated web application for structured deep phenotyping at the point of care43
AI-assisted tumor board decision-making in pancreatic oncology42
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks41
Development of a machine-learning based diagnosis procedure to distinguish aortic dissection from non-ST-elevation myocardial infarction41
Lactate-albumin ratio predicts in-hospital mortality in critically Ill patients with congestive heart failure and diabetes41
Predictive machine learning for postoperative pain using biosignals: a retrospective observational study41
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection40
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading39
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 sc37
The development of a decision aid to support treatment choice in pelvic organ prolapse: a Delphi study37
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records37
Can we ever have evidence-based decision making in orthopaedics? A qualitative evidence synthesis and conceptual framework36
Building an ultrasound appointment system: focusing on instrument diversity and the scope of physician expertise36
Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods35
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model35
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis34
Machine learning-based models for the prediction of breast cancer recurrence risk34
Artificial intelligence for brain-to-speech decoding in paralysis: a systematic review34
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic33
Prediction of malignancy and metastasis of thyroid cancer by combined feature sets through advanced machine learning33
Conceptual design of a generic data harmonization process for OMOP common data model33
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary33
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis33
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China33
Principles of digital professionalism for the metaverse in healthcare33
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study32
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 analysis32
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women32
Harnessing computational tools of the digital era for enhanced infection control31
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey31
Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis31
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 31
Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting31
Early classification of functional connectomes in Parkinson’s disease: a comparison of machine learning classifiers using multi-scale topological features31
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy31
Machine learning approach for the detection of vitamin D level: a comparative study31
Risk assessment and prediction of early blood transfusion after joint replacement surgery: a clinical decision support model based on machine learning30
A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models30
Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method30
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods29
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit29
A novel explainable machine learning-based healthy ageing scale29
The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation29
CardioGraph: a platform to study variations associated with familiar cardiopathies28
Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination28
Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review28
Predicting the frequent exacerbator phenotype in COPD: development and validation of a multicenter real-world prediction model28
Decision fatigue of surrogate decision-makers: a scoping review28
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes28
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 study28
Machine learning algorithms for predicting low birth weight in Ethiopia28
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making27
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-analysis27
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data27
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression27
Drug closed-loop management system using mobile technology27
Predicting peripheral venous catheter related phlebitis using machine learning (PPML): development and prospective validation of PPML for cardiology inpatients27
The social experience of uncertainty: a qualitative analysis of emergency department care for suspected pneumonia for the design of decision support27
Healthcare dashboard technologies and data visualization for lipid management: A scoping review27
Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment26
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach26
Data privacy-aware machine learning approach in pancreatic cancer diagnosis26
A heart failure classification model from radial artery pulse wave using LSTM neural networks25
A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy25
Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset25
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study25
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic24
Development of a machine learning-based acuity score prediction model for virtual care settings24
Modeling anesthetic-drug label detection for low-resource operating rooms24
Chinese medical entity recognition based on the dual-branch TENER model24
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III23
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia23
Predicting the severity of COVID-19 using machine learning methods23
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences23
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation23
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis23
Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression23
Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana23
Requirements and challenges of hospital dashboards: a systematic literature review22
Modeling-based design of adaptive control strategy for the effective preparation of ‘Disease X’22
Quantifying optimal inner limiting membrane peeling in macular hole surgery: a machine learning framework for predictive modeling and schematic visualization22
Accompanying the prostate cancer patient pathway: evaluation of novel clinical decision support software in patients with early diagnosis of prostate cancer22
Analyzing longitudinal antidiabetic medication patterns: a data-driven clustering framework22
Anaesthesia professionals’ perspectives on ECG interpretation and arrhythmia situation awareness with Visual Patient Heart: a qualitative multicentre study22
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish22
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study22
Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs)22
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation22
Risk factors and nomogram model for short-term postoperative complications in patients with hirschsprung disease22
Systematic review and meta-analysis of workload among medical records coders in China22
Designing and evaluating a mobile app to assist patients undergoing coronary angiography and assessing its impact on anxiety, stress levels, and self-care21
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review21
Application of machine learning for the diagnosis and prognosis of sepsis-induced acute respiratory distress syndrome: a systematic review and meta-analysis21
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis21
Haematology dimension reduction, a large scale application to regular care haematology data21
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches21
A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing21
Precision cancer medicine and the doctor-patient relationship: a systematic review and narrative synthesis21
Leveraging laboratory biomarkers to predict urosepsis after upper urinary tract stone surgery: an explainable machine learning approach21
Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them21
Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands21
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
Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data21
Clinician-in-the-loop screening saturation: predicting annotation yield for efficient EHR review21
Supervised machine learning model to predict total knee replacement in a large osteoartrhitis real-world evidence dataset using retrospectively 20-year insurance data from Israel20
Machine learning-based prediction of ventilator therapeutic pressure for optimized CPAP titration20
Assessment of compliance to the guidelines on nutritional support in a neonatal intensive care unit: association with an electronic health Records implementation20
Machine learning based model for the early detection of Gestational Diabetes Mellitus20
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis20
A novel EEG-based major depressive disorder detection framework with two-stage feature selection20
Context factors in clinical decision-making: a scoping review20
Effects of patient decision aids used pre-consult or in-consult on patient-clinician communication - secondary analysis of a systematic review with meta-analysis20
The association between video or telephone telemedicine visit type and orders in primary care20
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation20
Application of machine learning techniques for predicting survival in ovarian cancer20
Performance fairness of neural network models in early risk assessment of inpatients with varying severity: a retrospective study20
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges19
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy19
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
Correction: Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method19
Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda19
Synthetic cervical spine radiographs: expert validation and transfer learning for low-data settings19
A synthetic oversampling-based customized ResNet51-Conv1D framework for early colorectal cancer prediction using structured clinical data from the PLCO screening trial19
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis19
Trusted sources of information on COVID-19 vaccine in Uganda19
The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis19
Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators19
Application of artificial intelligence in predicting the results of open-heart surgery: a scoping review19
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis19
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records19
Cardiac arrhythmia detection via PQRST analyzed data using an optimized hierarchical fused fuzzy deep reinforcement learning19
An evaluation of GPT models for phenotype concept recognition19
An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse19
Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records19
Correction: Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study18
The coming Omicron waves and factors affecting its spread after China reopening borders18
Patient decision aid–supported shared decision making and short-term decision-making outcomes in type 2 diabetes: a prospective observational comparative study18
Evaluating the usability of Iran’s national comprehensive health information system: a think-aloud study to uncover usability problems in the recording of childcare data18
Development and interpretability of an XGBoost model to predict high grade cervical intraepithelial neoplasia18
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital18
%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests18
Correction to: Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings18
Community perspectives on the use of electronic health data to support reflective practice by health professionals18
Proposal of a procedure to stratify the reidentification risk of medical data: RIMEDA18
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning18
Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times18
Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 202118
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
Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making18
Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction18
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS18
Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review18
Integrating data science for the analysis of early years health inequalities: a Birmingham, UK case study18
How successful is the CatBoost classifier in diagnosing different dental anomalies in patients via sella turcica and vertebral morphologic alteration?17
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment17
TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines17
CycleGAN-based image-to-image translation for synthetic contrast enhancement in non-contrast cardiac CT: a ViT-CNN hybrid deep learning approach17
Optimization of vision transformer-based detection of lung diseases from chest X-ray images17
Optimizing myocardial infarction detection: a hybrid CNN-GRU deep learning approach17
Automated algorithm in catheter-associated urinary tract infection identification using digital health records: validity and barriers in implementation into clinical practice17
Using provocative design to foster electronic informed consent innovation17
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning17
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study17
Treatment decision support for esophageal cancer based on PET/CT data using deep learning17
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 support17
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer17
Multimodal deep learning-based diagnostic model for BPPV17
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework17
A machine learning approach to determine the risk factors for fall in multiple sclerosis17
Influencing mechanism of the use behavior of clinical practice guidelines on antimicrobials: evidence from the integration of theory of reasoned action and organizational readiness for change17
Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards17
Through the eye to the heart: a scoping review of artificial intelligence in retinal imaging for cardiovascular disease assessment17
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood17
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population17
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory17
AI-assisted haematology: machine learning–based prediction of iron-deficiency anaemia from reticulocyte maturation indices17
Knowledge management strategies and models in health context: a systematic review17
The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model16
Natural language processing for geriatric syndromes: a systematic review of methods, applications, and challenges16
Machine learning-based prognostic modeling of early clinical outcomes in very low birth weight infants: insights from a nationwide cohort on delivery room resuscitation, prematurity-related complicati16
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 variables16
Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach16
DREAMER: a computational framework to evaluate readiness of datasets for machine learning16
Domain and Language adaptive pre-training of BERT models for Korean-English bilingual clinical text analysis16
Patients and healthcare professionals’ perspectives on the implementation of shared decision making in multiple myeloma: a multinational qualitative study16
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients16
Explainable AI for infection prevention and control: modeling CPE acquisition and patient outcomes in an Irish hospital with transformers16
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure16
Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings16
Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality16
Acute respiratory infections prediction through social media data and machine learning: a systematic review16
Factors associated with the local control of brain metastases: a systematic search and machine learning application16
Towards interpretable sleep stage classification with a multi-stream fusion network16
Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV216
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal16
0.62778401374817