BMC Medical Informatics and Decision Making

Papers
(The H4-Index of BMC Medical Informatics and Decision Making is 40. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
The development and phase 1 evaluation of a Decision Aid for elective egg freezing304
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application288
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection228
Patients’ views of shared decision making in inflammatory bowel disease: a survey in China171
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project169
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist134
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation130
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 Cana110
Deep learning-based classification of dementia using image representation of subcortical signals103
Insights into prescribing patterns for antidepressants: an evidence-based analysis96
Learning from low-rank multimodal representations for predicting disease-drug associations93
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms89
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis83
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R75
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures71
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach71
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram70
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy69
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning69
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis67
Evaluation of an ARF diagnosis calculator: a survey and content analysis61
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis59
Value of normative belief in intention to use workplace health promotion apps55
From algorithms to action: improving patient care requires causality54
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines53
AMPDECIDE amputation level patient decision aids: a feasibility study52
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning52
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models52
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim48
Early prediction of mortality upon intensive care unit admission47
Data-driven decision making in patient management: a systematic review46
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks46
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis45
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers45
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging44
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records44
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning43
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering41
Mean generation function model in AIDS epidemic estimation40
Interoperability of heterogeneous health information systems: a systematic literature review40
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study40
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