OOIR: Observatory of International Research

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 2021-06-01 to 2025-06-01.)

Article	Citations
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures	263
Value of normative belief in intention to use workplace health promotion apps	263
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks	207
The development and phase 1 evaluation of a Decision Aid for elective egg freezing	157
Evaluation of an ARF diagnosis calculator: a survey and content analysis	143
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application	141
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection	128
Patients’ views of shared decision making in inflammatory bowel disease: a survey in China	116
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project	105
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist	99
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation	98
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	83
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	79
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning	79
Deep learning-based classification of dementia using image representation of subcortical signals	78
Insights into prescribing patterns for antidepressants: an evidence-based analysis	71
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis	67
Learning from low-rank multimodal representations for predicting disease-drug associations	65
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis	63
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms	63
Creation of clinical algorithms for decision-making in oncology: an example with dose prescription in radiation oncology	62
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers	61
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records	60
Early prediction of mortality upon intensive care unit admission	59
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram	52

Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering	51
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning	51
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy	50
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines	47
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging	47
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning	47
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim	47
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis	46
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis	46
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach	45
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models	43
From algorithms to action: improving patient care requires causality	43
A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification	43
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study	42
Mean generation function model in AIDS epidemic estimation	42
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study	42
Interoperability of heterogeneous health information systems: a systematic literature review	42