BMC Medical Informatics and Decision Making

Papers
(The median citation count of BMC Medical Informatics and Decision Making is 4. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application380
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project273
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation219
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 Cana202
From algorithms to action: improving patient care requires causality178
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis128
Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies124
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim120
AMPDECIDE amputation level patient decision aids: a feasibility study119
Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression111
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records95
Evaluation of an ARF diagnosis calculator: a survey and content analysis94
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models94
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning91
Early prediction of mortality upon intensive care unit admission88
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines86
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy83
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram76
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R74
Value of normative belief in intention to use workplace health promotion apps70
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection69
Insights into prescribing patterns for antidepressants: an evidence-based analysis68
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis66
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms66
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks65
ProtoMAP: prototypical network based few-shot learning for missed abortion prediction65
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning61
The development and phase 1 evaluation of a Decision Aid for elective egg freezing60
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist57
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis56
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis55
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging55
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach50
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning49
Patients’ views of shared decision making in inflammatory bowel disease: a survey in China48
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures47
Deep learning-based classification of dementia using image representation of subcortical signals47
Interoperability of heterogeneous health information systems: a systematic literature review44
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering44
Data-driven decision making in patient management: a systematic review44
Mean generation function model in AIDS epidemic estimation43
The impact of a patient decision aid for patients with advanced laryngeal carcinoma – a multicenter study41
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules41
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary40
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading40
Can we ever have evidence-based decision making in orthopaedics? A qualitative evidence synthesis and conceptual framework40
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic39
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records39
Principles of digital professionalism for the metaverse in healthcare39
Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals38
Effects of a smartphone application named “Shared Decision Making Assistant” for informed patients with primary liver cancer in decision-making in China: a quasi-experimental study38
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region37
Predicting miRNA-disease associations via layer attention graph convolutional network model37
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis36
Development and usability evaluation of a mHealth application for albinism self-management36
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study35
Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis35
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks35
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection34
Dynamic fall risk prediction in hospitalized cancer patients: development and validation of a machine learning model using multidimensional clinical data to overcome over-sensitivity in traditional sc34
The development of a decision aid to support treatment choice in pelvic organ prolapse: a Delphi study34
Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods34
Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital–a longitudinal comparative document analysis33
Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting33
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study33
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women32
Analysis and knowledge extraction of newborn resuscitation activities from annotation files32
Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis32
The Infomóvel—An information system for managing HIV/AIDS patients in rural areas of Mozambique31
A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all30
Conceptual design of a generic data harmonization process for OMOP common data model30
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey30
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records29
Machine learning approach for the detection of vitamin D level: a comparative study29
Machine learning-based models for the prediction of breast cancer recurrence risk29
PheNominal: an EHR-integrated web application for structured deep phenotyping at the point of care29
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model28
Identifying and evaluating clinical subtypes of Alzheimer’s disease in care electronic health records using unsupervised machine learning28
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health28
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China28
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods27
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis27
Prognosis patients with COVID-19 using deep learning27
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy27
Harnessing computational tools of the digital era for enhanced infection control27
Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in 27
Accompanying the prostate cancer patient pathway: evaluation of novel clinical decision support software in patients with early diagnosis of prostate cancer27
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis26
Effect of short message service reminders in improving optimal antenatal care, skilled birth attendance and postnatal care in low-and middle-income countries: a systematic review and meta-analysis26
The social experience of uncertainty: a qualitative analysis of emergency department care for suspected pneumonia for the design of decision support26
A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models26
Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment26
Decision fatigue of surrogate decision-makers: a scoping review25
Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review25
CardioGraph: a platform to study variations associated with familiar cardiopathies25
The perceived importance of prognostic aspects considered by physicians during work disability evaluation: a survey25
Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity25
Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination25
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression25
Predicting peripheral venous catheter related phlebitis using machine learning (PPML): development and prospective validation of PPML for cardiology inpatients24
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes24
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods24
A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy24
Chinese medical entity recognition based on the dual-branch TENER model24
Drug closed-loop management system using mobile technology24
Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method24
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic24
Development of an interpretable machine learning model for predicting prolonged hospital stay in patients with acute exacerbation of chronic obstructive pulmonary disease: a retrospective cohort study24
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data24
Data privacy-aware machine learning approach in pancreatic cancer diagnosis24
Kernel principal components based cascade forest towards disease identification with human microbiota23
Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression23
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation23
Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana23
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia23
Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs)23
Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset23
A heart failure classification model from radial artery pulse wave using LSTM neural networks23
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study23
Machine learning algorithms for predicting low birth weight in Ethiopia22
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making22
A novel explainable machine learning-based healthy ageing scale22
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation22
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit22
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach22
Risk assessment and prediction of early blood transfusion after joint replacement surgery: a clinical decision support model based on machine learning22
Early classification of functional connectomes in Parkinson’s disease: a comparison of machine learning classifiers using multi-scale topological features22
Requirements and challenges of hospital dashboards: a systematic literature review22
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences22
The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation22
Development of a machine learning-based acuity score prediction model for virtual care settings22
Healthcare dashboard technologies and data visualization for lipid management: A scoping review22
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III22
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation21
A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing21
Quantifying optimal inner limiting membrane peeling in macular hole surgery: a machine learning framework for predictive modeling and schematic visualization21
Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data21
Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records21
Designing and evaluating a mobile app to assist patients undergoing coronary angiography and assessing its impact on anxiety, stress levels, and self-care21
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study21
Modeling-based design of adaptive control strategy for the effective preparation of ‘Disease X’21
Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort21
Risk factors and nomogram model for short-term postoperative complications in patients with hirschsprung disease21
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges20
The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis20
Systematic review and meta-analysis of workload among medical records coders in China20
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea20
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis20
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review20
ECG signal classification based on deep CNN and BiLSTM19
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis19
Use of diagnostic likelihood ratio of outcome to evaluate misclassification bias in the planning of database studies19
The association between video or telephone telemedicine visit type and orders in primary care19
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records19
Intelligent virtual case learning system based on real medical records and natural language processing19
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches19
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening18
Factors influencing online orthopedic doctor–patient consultations18
Participatory methods in a digital setting: experiences from the co-creation of an eHealth tool for people with chronic obstructive pulmonary disease18
Clinician-in-the-loop screening saturation: predicting annotation yield for efficient EHR review18
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis18
Application of machine learning techniques for predicting survival in ovarian cancer18
Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands18
Ensemble learning for the early prediction of neonatal jaundice with genetic features18
Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda18
A mental models approach for defining explainable artificial intelligence18
Precision cancer medicine and the doctor-patient relationship: a systematic review and narrative synthesis18
Context factors in clinical decision-making: a scoping review18
Machine learning based model for the early detection of Gestational Diabetes Mellitus18
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis18
Identifying drug-related attributes to personalise antihypertensive agents: the outcome report of patients receiving metoprolol therapy18
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy18
Application of artificial intelligence in predicting the results of open-heart surgery: a scoping review18
Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them18
A novel EEG-based major depressive disorder detection framework with two-stage feature selection18
Haematology dimension reduction, a large scale application to regular care haematology data18
Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators18
Evaluating breast cancer websites targeting Arabic speakers: empirical investigation of popularity, availability, accessibility, readability, and quality18
An evaluation of GPT models for phenotype concept recognition18
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish18
Descriptive forest: experiments on a novel tree-structure-generalization method for describing cardiovascular diseases17
An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse17
Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 202117
Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making17
Evaluating the usability of Iran’s national comprehensive health information system: a think-aloud study to uncover usability problems in the recording of childcare data17
The development of a decision aid to support Hodgkin lymphoma survivors considering lung cancer screening17
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population17
Correction: Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method17
The coming Omicron waves and factors affecting its spread after China reopening borders17
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood17
Multimodal deep learning-based diagnostic model for BPPV17
Trusted sources of information on COVID-19 vaccine in Uganda17
Optimization of vision transformer-based detection of lung diseases from chest X-ray images17
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory17
Community perspectives on the use of electronic health data to support reflective practice by health professionals17
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning17
Optimizing myocardial infarction detection: a hybrid CNN-GRU deep learning approach16
Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study16
Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review16
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital16
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study16
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer16
Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge16
%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests16
Overall performance of a drug–drug interaction clinical decision support system: quantitative evaluation and end-user survey16
Patient values in patient-provider communication about participation in early phase clinical cancer trials: a qualitative analysis before and after implementation of an online value clarification tool16
Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach15
Influencing mechanism of the use behavior of clinical practice guidelines on antimicrobials: evidence from the integration of theory of reasoned action and organizational readiness for change15
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework15
Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times15
How successful is the CatBoost classifier in diagnosing different dental anomalies in patients via sella turcica and vertebral morphologic alteration?15
Through the eye to the heart: a scoping review of artificial intelligence in retinal imaging for cardiovascular disease assessment15
Prediction of unplanned 30-day readmission for ICU patients with heart failure15
Explainable AI for infection prevention and control: modeling CPE acquisition and patient outcomes in an Irish hospital with transformers15
Continuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers15
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS15
Using provocative design to foster electronic informed consent innovation15
Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals15
Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study15
Patients and healthcare professionals’ perspectives on the implementation of shared decision making in multiple myeloma: a multinational qualitative study15
A machine learning approach to determine the risk factors for fall in multiple sclerosis15
Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction15
Correction: Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study15
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment15
Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records15
DREAMER: a computational framework to evaluate readiness of datasets for machine learning15
Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards15
Evaluation of medical decision support systems (DDX generators) using real medical cases of varying complexity and origin14
Nonlinear association between visceral fat metabolism score and heart failure: insights from LightGBM modeling and SHAP-Driven feature interpretation in NHANES14
Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV214
Design and evaluation of a mobile-based nutrition education application for infertile women in Iran14
Treatment decision support for esophageal cancer based on PET/CT data using deep learning14
Intelligent identification system of gastric stromal tumors based on blood biopsy indicators14
The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model14
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure14
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning14
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal14
Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings14
Domain and Language adaptive pre-training of BERT models for Korean-English bilingual clinical text analysis14
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients14
Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality14
Analyzing the medical record homepages quality in a Chinese EMR system14
Medical-informed machine learning: integrating prior knowledge into medical decision systems14
An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack14
Towards interpretable sleep stage classification with a multi-stream fusion network14
Developing an AI-powered wound assessment tool: a methodological approach to data collection and model optimization14
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction14
TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines14
Factors associated with the local control of brain metastases: a systematic search and machine learning application14
Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagn13
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