BMC Medical Informatics and Decision Making

Papers
(The H4-Index of BMC Medical Informatics and Decision Making is 49. 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
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