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 2020-04-01 to 2024-04-01.)

Article	Citations
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective	501
The role of artificial intelligence in healthcare: a structured literature review	246
Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives	159
ICD-11: an international classification of diseases for the twenty-first century	117
Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis	104
Combining structured and unstructured data for predictive models: a deep learning approach	99
Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU	79
Cybersecurity of Hospitals: discussing the challenges and working towards mitigating the risks	78
Challenges of Telemedicine during the COVID-19 pandemic: a systematic review	73
A systematic review of natural language processing applied to radiology reports	72
Comparison of RetinaNet, SSD, and YOLO v3 for real-time pill identification	71
Shared decision making in surgery: a scoping review of patient and surgeon preferences	67
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction	65
CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the features	64
The most used questionnaires for evaluating telemedicine services	62
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques	58
Comparing machine learning algorithms for predicting COVID-19 mortality	57
Stress detection using deep neural networks	57
Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology	56
Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis	54
Ethics and governance of trustworthy medical artificial intelligence	54
Text classification models for the automatic detection of nonmedical prescription medication use from social media	53
The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond	52
E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey	49
Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making	49

Constrained transformer network for ECG signal processing and arrhythmia classification	49
HealtheDataLab – a cloud computing solution for data science and advanced analytics in healthcare with application to predicting multi-center pediatric readmissions	48
Data quality of the routine health management information system at the primary healthcare facility and district levels in Tanzania	47
Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning	47
A qualitative research framework for the design of user-centered displays of explanations for machine learning model predictions in healthcare	46
Public health utility of cause of death data: applying empirical algorithms to improve data quality	45
A fuzzy TOPSIS based analysis toward selection of effective security requirements engineering approach for trustworthy healthcare software development	45
Barriers to patient, provider, and caregiver adoption and use of electronic personal health records in chronic care: a systematic review	45
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes	44
The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis	43
Transformer-based deep neural network language models for Alzheimer’s disease risk assessment from targeted speech	42
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health	41
A hybrid cost-sensitive ensemble for heart disease prediction	40
Gradient boosting for Parkinson’s disease diagnosis from voice recordings	39
How an electronic health record became a real-world research resource: comparison between London’s Whole Systems Integrated Care database and the Clinical Practice Research Datalink	39
Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences	39