OOIR: Observatory of International Research

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 2021-05-01 to 2025-05-01.)

Article	Citations
Value of normative belief in intention to use workplace health promotion apps	250
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures	235
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks	189
The development and phase 1 evaluation of a Decision Aid for elective egg freezing	151
Evaluation of an ARF diagnosis calculator: a survey and content analysis	135
The association between Internet use and health-related outcomes in older adults and the elderly: a cross-sectional study	134
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim	123
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application	103
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection	102
Patients’ views of shared decision making in inflammatory bowel disease: a survey in China	98
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project	95
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist	78
From algorithms to action: improving patient care requires causality	75
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis	74
User knowledge factors that hinder the design of new home healthcare devices: investigating thirty-eight devices and their manufacturers	73
Characterization and selection of Japanese electronic health record databases used as data sources for non-interventional observational studies	67
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation	64
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	62
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning	60
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	60
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines	59
Deep learning-based classification of dementia using image representation of subcortical signals	56
Insights into prescribing patterns for antidepressants: an evidence-based analysis	56
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis	55
Learning from low-rank multimodal representations for predicting disease-drug associations	53

Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis	51
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms	51
Creation of clinical algorithms for decision-making in oncology: an example with dose prescription in radiation oncology	49
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models	49
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers	49
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records	47
Early prediction of mortality upon intensive care unit admission	46
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis	45
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram	45
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering	43
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning	42
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging	41
A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification	41
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning	41
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy	40