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 2022-05-01 to 2026-05-01.)
ArticleCitations
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application482
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation369
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 Cana290
Respiratory sound analysis for ICU clinical decision support: deep learning-based classification of normal and abnormal sounds using real ICU data241
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning237
Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies200
Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression157
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning155
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures150
Supporting parent treatment decision-making in relapsed and refractory neuroblastoma: co-design of a web-based intervention137
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging126
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection123
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis121
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning117
Data-driven decision making in patient management: a systematic review99
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks94
Early prediction of mortality upon intensive care unit admission93
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 divisions80
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis80
Interoperability of heterogeneous health information systems: a systematic literature review79
PhenoNMF: A novel multi-layer matrix factorization framework for age-stratified comprehensive phenotypic similarity analysis75
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R73
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering73
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines70
Insights into prescribing patterns for antidepressants: an evidence-based analysis66
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy66
Timing matters: a machine learning–driven comparison of community and hospital-onset sepsis63
The development and phase 1 evaluation of a Decision Aid for elective egg freezing62
AMPDECIDE amputation level patient decision aids: a feasibility study62
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram61
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist60
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim59
From algorithms to action: improving patient care requires causality56
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project55
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records55
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis52
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms50
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach50
ProtoMAP: prototypical network based few-shot learning for missed abortion prediction49
Effects of a smartphone application named “Shared Decision Making Assistant” for informed patients with primary liver cancer in decision-making in China: a quasi-experimental study48
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models48
Deep learning-based classification of dementia using image representation of subcortical signals48
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study47
The impact of a patient decision aid for patients with advanced laryngeal carcinoma – a multicenter study47
Hand movements prediction via fNIRS and AI algorithms46
Development of a machine-learning based diagnosis procedure to distinguish aortic dissection from non-ST-elevation myocardial infarction46
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading46
Principles of digital professionalism for the metaverse in healthcare45
Predictive machine learning for postoperative pain using biosignals: a retrospective observational study45
Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis44
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 sc44
The development of a decision aid to support treatment choice in pelvic organ prolapse: a Delphi study44
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary43
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey43
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China42
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic42
Machine learning approach for the detection of vitamin D level: a comparative study41
A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all40
The Infomóvel—An information system for managing HIV/AIDS patients in rural areas of Mozambique40
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records40
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women40
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study39
Analysis and knowledge extraction of newborn resuscitation activities from annotation files37
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model37
Conceptual design of a generic data harmonization process for OMOP common data model36
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods36
Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis36
AI-assisted tumor board decision-making in pancreatic oncology35
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis34
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules34
PheNominal: an EHR-integrated web application for structured deep phenotyping at the point of care34
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis33
Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods33
Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting33
Development and usability evaluation of a mHealth application for albinism self-management33
Prediction of malignancy and metastasis of thyroid cancer by combined feature sets through advanced machine learning33
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region33
Lactate-albumin ratio predicts in-hospital mortality in critically Ill patients with congestive heart failure and diabetes31
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks31
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection31
Building an ultrasound appointment system: focusing on instrument diversity and the scope of physician expertise31
Can we ever have evidence-based decision making in orthopaedics? A qualitative evidence synthesis and conceptual framework31
Machine learning-based models for the prediction of breast cancer recurrence risk31
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 30
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy30
Harnessing computational tools of the digital era for enhanced infection control30
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 analysis30
Decision fatigue of surrogate decision-makers: a scoping review29
Development of a machine learning-based acuity score prediction model for virtual care settings29
Accompanying the prostate cancer patient pathway: evaluation of novel clinical decision support software in patients with early diagnosis of prostate cancer29
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation29
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation29
Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment29
Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana29
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-analysis29
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences29
The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation28
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making28
Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination28
Risk assessment and prediction of early blood transfusion after joint replacement surgery: a clinical decision support model based on machine learning28
Predicting the severity of COVID-19 using machine learning methods28
CardioGraph: a platform to study variations associated with familiar cardiopathies27
Predicting peripheral venous catheter related phlebitis using machine learning (PPML): development and prospective validation of PPML for cardiology inpatients27
Predicting the frequent exacerbator phenotype in COPD: development and validation of a multicenter real-world prediction model27
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression27
Early classification of functional connectomes in Parkinson’s disease: a comparison of machine learning classifiers using multi-scale topological features27
Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review27
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 study27
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data27
Healthcare dashboard technologies and data visualization for lipid management: A scoping review26
A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy26
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study26
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes26
The social experience of uncertainty: a qualitative analysis of emergency department care for suspected pneumonia for the design of decision support26
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
Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset25
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia25
Modeling anesthetic-drug label detection for low-resource operating rooms25
Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs)25
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III24
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis24
Drug closed-loop management system using mobile technology24
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic24
Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method24
Chinese medical entity recognition based on the dual-branch TENER model23
A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models23
Machine learning algorithms for predicting low birth weight in Ethiopia23
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods23
A novel explainable machine learning-based healthy ageing scale23
Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression23
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit23
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges22
Requirements and challenges of hospital dashboards: a systematic literature review22
Quantifying optimal inner limiting membrane peeling in macular hole surgery: a machine learning framework for predictive modeling and schematic visualization22
Modeling-based design of adaptive control strategy for the effective preparation of ‘Disease X’22
Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records21
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish21
Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them21
Risk factors and nomogram model for short-term postoperative complications in patients with hirschsprung disease21
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study21
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation21
Systematic review and meta-analysis of workload among medical records coders in China21
Haematology dimension reduction, a large scale application to regular care haematology data21
Clinician-in-the-loop screening saturation: predicting annotation yield for efficient EHR review21
Designing and evaluating a mobile app to assist patients undergoing coronary angiography and assessing its impact on anxiety, stress levels, and self-care20
Application of artificial intelligence in predicting the results of open-heart surgery: 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
Application of machine learning for the diagnosis and prognosis of sepsis-induced acute respiratory distress syndrome: a systematic review and meta-analysis20
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis20
Precision cancer medicine and the doctor-patient relationship: a systematic review and narrative synthesis20
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches20
A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing20
Leveraging laboratory biomarkers to predict urosepsis after upper urinary tract stone surgery: an explainable machine learning approach20
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis20
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 Korea20
A synthetic oversampling-based customized ResNet51-Conv1D framework for early colorectal cancer prediction using structured clinical data from the PLCO screening trial20
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review20
Context factors in clinical decision-making: a scoping review20
Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands20
The association between video or telephone telemedicine visit type and orders in primary care20
Synthetic cervical spine radiographs: expert validation and transfer learning for low-data settings20
Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data20
The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis19
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy19
A novel EEG-based major depressive disorder detection framework with two-stage feature selection19
Machine learning based model for the early detection of Gestational Diabetes Mellitus19
Descriptive forest: experiments on a novel tree-structure-generalization method for describing cardiovascular diseases19
Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda19
Evaluating breast cancer websites targeting Arabic speakers: empirical investigation of popularity, availability, accessibility, readability, and quality19
Application of machine learning techniques for predicting survival in ovarian cancer19
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis19
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records19
Performance fairness of neural network models in early risk assessment of inpatients with varying severity: a retrospective study19
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis19
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening19
Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators19
An evaluation of GPT models for phenotype concept recognition19
Supervised machine learning model to predict total knee replacement in a large osteoartrhitis real-world evidence dataset using retrospectively 20-year insurance data from Israel19
Community perspectives on the use of electronic health data to support reflective practice by health professionals18
AI-assisted haematology: machine learning–based prediction of iron-deficiency anaemia from reticulocyte maturation indices18
Correction: Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method18
Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study18
CycleGAN-based image-to-image translation for synthetic contrast enhancement in non-contrast cardiac CT: a ViT-CNN hybrid deep learning approach18
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning18
Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction18
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework18
The coming Omicron waves and factors affecting its spread after China reopening borders18
Correction: Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study18
Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review18
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital18
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
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS18
Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times18
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
Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making18
Trusted sources of information on COVID-19 vaccine in Uganda18
An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse18
Correction to: Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings18
Multimodal deep learning-based diagnostic model for BPPV18
Patient decision aid–supported shared decision making and short-term decision-making outcomes in type 2 diabetes: a prospective observational comparative study18
Patients and healthcare professionals’ perspectives on the implementation of shared decision making in multiple myeloma: a multinational qualitative study17
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction17
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study17
Proposal of a procedure to stratify the reidentification risk of medical data: RIMEDA17
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory17
Using provocative design to foster electronic informed consent innovation17
Through the eye to the heart: a scoping review of artificial intelligence in retinal imaging for cardiovascular disease assessment17
Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals17
Development and interpretability of an XGBoost model to predict high grade cervical intraepithelial neoplasia17
Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 202117
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood17
Treatment decision support for esophageal cancer based on PET/CT data using deep learning17
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning17
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer17
Optimizing myocardial infarction detection: a hybrid CNN-GRU deep learning approach17
Optimization of vision transformer-based detection of lung diseases from chest X-ray images17
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population17
%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests17
A machine learning approach to determine the risk factors for fall in multiple sclerosis16
Continuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers16
Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards16
Developing an AI-powered wound assessment tool: a methodological approach to data collection and model optimization16
Domain and Language adaptive pre-training of BERT models for Korean-English bilingual clinical text analysis16
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 Hos16
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
Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality16
Intelligent identification system of gastric stromal tumors based on blood biopsy indicators16
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment16
Prediction of unplanned 30-day readmission for ICU patients with heart failure16
Factors associated with the local control of brain metastases: a systematic search and machine learning application16
Therapeutic monoclonal antibodies repurposing in oncology via IMGT/mAb-KG embeddings16
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal16
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients16
Analyzing the medical record homepages quality in a Chinese EMR system16
How successful is the CatBoost classifier in diagnosing different dental anomalies in patients via sella turcica and vertebral morphologic alteration?16
TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines16
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 change16
A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening16
Nonlinear association between visceral fat metabolism score and heart failure: insights from LightGBM modeling and SHAP-Driven feature interpretation in NHANES16
DREAMER: a computational framework to evaluate readiness of datasets for machine learning16
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure16
The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model16
Development, implementation, and evaluation of neonatal thermoregulation decision support web application15
Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study15
Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning15
Memory rehabilitation during the COVID-19 pandemic15
Which risk factor best predicts coronary artery disease using artificial neural network method?15
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