OOIR: Observatory of International Research

Papers

(The H4-Index of BMC Medical Informatics and Decision Making is 39. 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 2021-04-01 to 2025-04-01.)

Article	Citations
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning	507
Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care	239
InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography	215
Validating the representation of distance between infarct diseases using word embedding	176
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms	144
Insights into prescribing patterns for antidepressants: an evidence-based analysis	129
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines	124
Machine learning model for predicting acute kidney injury progression in critically ill patients	120
Development and evaluation of a whole-chain management system for critical value reporting	96
User acceptability and perceived impact of a mobile interactive education and support group intervention to improve postnatal health care in northern India: a qualitative study	95
Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage	92
Temporal topic model for clinical pathway mining from electronic medical records	91
Machine learning–based prediction model for hypofibrinogenemia after tigecycline therapy	75
Investigating the role of health information technology in the control and management of Systemic Lupus Erythematosus (SLE): a systematic review	73
Circulating CCN6/WISP3 in type 2 diabetes mellitus patients and its correlation with insulin resistance and inflammation: statistical and machine learning analyses	64
Practical applications of methods to incorporate patient preferences into medical decision models: a scoping review	63
An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999–2018	63
An intelligent multi-attribute decision-making system for clinical assessment of spinal cord disorder using fuzzy hypersoft rough approximations	58
Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data	58
Deep learning-based classification of dementia using image representation of subcortical signals	57
Predicting multiple sclerosis severity with multimodal deep neural networks	55
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis	54
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis	53
Which risk factor best predicts coronary artery disease using artificial neural network method?	53
Machine learning-empowered sleep staging classification using multi-modality signals	53

Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation	52
Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology	51
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation	49
Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review	48
Use of mobile phones for rehabilitative services among prosthetics users in rural Acholi sub-region of northern Uganda: findings from a qualitative study	46
Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand	46
A political economy analysis of strengthening health information system in Tanzania	44
Undercounting diagnoses in Australian general practice: a data quality study with implications for population health reporting	43
Machine learning-based risk models for procedural complications of radiofrequency ablation for atrial fibrillation	43
Spatiotemporal evolution of epileptic seizure based on mutual information and dynamic brain network	42
Continual learning framework for a multicenter study with an application to electrocardiogram	41
A mobile app (IDoThis) for multiple sclerosis self-management: development and initial evaluation	41
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection	40
Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy	39
Detection of K-complexes in EEG waveform images using faster R-CNN and deep transfer learning	39
Contribution of information about acute and geriatric characteristics to decisions about life-sustaining treatment for old patients in intensive care	39