BMC Medical Informatics and Decision Making

Papers
(The H4-Index of BMC Medical Informatics and Decision Making is 38. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective655
The role of artificial intelligence in healthcare: a structured literature review353
ICD-11: an international classification of diseases for the twenty-first century180
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques122
Challenges of Telemedicine during the COVID-19 pandemic: a systematic review111
Ethics and governance of trustworthy medical artificial intelligence103
A systematic review of natural language processing applied to radiology reports97
Comparison of RetinaNet, SSD, and YOLO v3 for real-time pill identification91
CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the features85
Stress detection using deep neural networks81
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction80
Comparing machine learning algorithms for predicting COVID-19 mortality78
The most used questionnaires for evaluating telemedicine services78
Constrained transformer network for ECG signal processing and arrhythmia classification72
Interoperability of heterogeneous health information systems: a systematic literature review66
Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning63
The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond60
Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making60
Text classification models for the automatic detection of nonmedical prescription medication use from social media59
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health57
Deep Q-networks with web-based survey data for simulating lung cancer intervention prediction and assessment in the elderly: a quantitative study56
The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions56
Transformer-based deep neural network language models for Alzheimer’s disease risk assessment from targeted speech56
Data quality of the routine health management information system at the primary healthcare facility and district levels in Tanzania55
Public health utility of cause of death data: applying empirical algorithms to improve data quality52
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes51
A hybrid cost-sensitive ensemble for heart disease prediction48
The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis48
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium46
Physiotherapists’ perceptions of and willingness to use telerehabilitation in Kuwait during the COVID-19 pandemic45
A novel approach for heart disease prediction using strength scores with significant predictors42
The association between Internet use and health-related outcomes in older adults and the elderly: a cross-sectional study41
Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey40
E-health literacy in older adults: an evolutionary concept analysis40
AFibNet: an implementation of atrial fibrillation detection with convolutional neural network39
CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability39
Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners38
Telemedicine application in patients with chronic disease: a systematic review and meta-analysis38
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