BMC Medical Informatics and Decision Making

Papers
(The H4-Index of BMC Medical Informatics and Decision Making is 42. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application399
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project294
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation228
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 Cana210
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning186
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks131
Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies126
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis126
Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression122
Evaluation of an ARF diagnosis calculator: a survey and content analysis114
From algorithms to action: improving patient care requires causality98
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines98
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning98
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R97
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy97
Value of normative belief in intention to use workplace health promotion apps92
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection88
Insights into prescribing patterns for antidepressants: an evidence-based analysis81
AMPDECIDE amputation level patient decision aids: a feasibility study77
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim75
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist75
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis72
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms70
ProtoMAP: prototypical network based few-shot learning for missed abortion prediction68
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach68
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning66
Data-driven decision making in patient management: a systematic review65
Supporting parent treatment decision-making in relapsed and refractory neuroblastoma: co-design of a web-based intervention60
The development and phase 1 evaluation of a Decision Aid for elective egg freezing58
Early prediction of mortality upon intensive care unit admission58
Deep learning-based classification of dementia using image representation of subcortical signals57
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records56
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis51
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering49
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram48
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures47
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis47
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging46
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models45
Interoperability of heterogeneous health information systems: a systematic literature review45
Mean generation function model in AIDS epidemic estimation43
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules43
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