OOIR: Observatory of International Research

Papers

(The H4-Index of BMC Medical Informatics and Decision Making is 46. 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.)

Article	Citations
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application	482
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation	369
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 Cana	290
Respiratory sound analysis for ICU clinical decision support: deep learning-based classification of normal and abnormal sounds using real ICU data	241
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning	237
Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies	200
Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression	157
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning	155
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures	150
Supporting parent treatment decision-making in relapsed and refractory neuroblastoma: co-design of a web-based intervention	137
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging	126
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection	123
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis	121
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning	117
Data-driven decision making in patient management: a systematic review	99
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks	94
Early prediction of mortality upon intensive care unit admission	93
Development and validation of the ANGS score for predicting long-term outcomes in acute ischemic stroke patients receiving intravenous thrombolysis	87
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis	80
Machine learning classification of cycloplegic refractive status in children and adolescents using non-cycloplegic data across ten provincial-level administrative divisions	80
Interoperability of heterogeneous health information systems: a systematic literature review	79
PhenoNMF: A novel multi-layer matrix factorization framework for age-stratified comprehensive phenotypic similarity analysis	75
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering	73
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R	73
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines	70

Insights into prescribing patterns for antidepressants: an evidence-based analysis	66
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy	66
Timing matters: a machine learning–driven comparison of community and hospital-onset sepsis	63
The development and phase 1 evaluation of a Decision Aid for elective egg freezing	62
AMPDECIDE amputation level patient decision aids: a feasibility study	62
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram	61
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist	60
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim	59
From algorithms to action: improving patient care requires causality	56
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project	55
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records	55
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis	52
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms	50
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach	50
ProtoMAP: prototypical network based few-shot learning for missed abortion prediction	49
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 study	48
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models	48
Deep learning-based classification of dementia using image representation of subcortical signals	48
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study	47
The impact of a patient decision aid for patients with advanced laryngeal carcinoma – a multicenter study	47
Hand movements prediction via fNIRS and AI algorithms	46
Development of a machine-learning based diagnosis procedure to distinguish aortic dissection from non-ST-elevation myocardial infarction	46
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading	46