BMC Medical Informatics and Decision Making

Papers
(The TQCC of BMC Medical Informatics and Decision Making is 8. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Value of normative belief in intention to use workplace health promotion apps250
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures235
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks189
The development and phase 1 evaluation of a Decision Aid for elective egg freezing151
Evaluation of an ARF diagnosis calculator: a survey and content analysis135
The association between Internet use and health-related outcomes in older adults and the elderly: a cross-sectional study134
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim123
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application103
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection102
Patients’ views of shared decision making in inflammatory bowel disease: a survey in China98
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project95
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist78
From algorithms to action: improving patient care requires causality75
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis74
User knowledge factors that hinder the design of new home healthcare devices: investigating thirty-eight devices and their manufacturers73
Characterization and selection of Japanese electronic health record databases used as data sources for non-interventional observational studies67
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation64
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 Cana62
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R60
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning60
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines59
Insights into prescribing patterns for antidepressants: an evidence-based analysis56
Deep learning-based classification of dementia using image representation of subcortical signals56
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis55
Learning from low-rank multimodal representations for predicting disease-drug associations53
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms51
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis51
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers49
Creation of clinical algorithms for decision-making in oncology: an example with dose prescription in radiation oncology49
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models49
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records47
Early prediction of mortality upon intensive care unit admission46
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram45
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis45
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering43
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning42
A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification41
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning41
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging41
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy40
Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study39
Interoperability of heterogeneous health information systems: a systematic literature review39
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study39
Mean generation function model in AIDS epidemic estimation39
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods38
Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning37
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records37
The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women36
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey36
Explainable AI enables clinical trial patient selection to retrospectively improve treatment effects in schizophrenia35
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model35
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis34
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China34
Principles of digital professionalism for the metaverse in healthcare34
Conceptual design of a generic data harmonization process for OMOP common data model33
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks33
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection32
Machine learning approach for the detection of vitamin D level: a comparative study32
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis31
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records31
Investigate knowledge management technology implementation for supporting decision making in Ethiopian health sectors31
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary31
Analysis and knowledge extraction of newborn resuscitation activities from annotation files30
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
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic30
PheNominal: an EHR-integrated web application for structured deep phenotyping at the point of care30
Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting29
Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis29
Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods29
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region28
Development and usability evaluation of a mHealth application for albinism self-management28
Predicting miRNA-disease associations via layer attention graph convolutional network model28
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 study28
The Infomóvel—An information system for managing HIV/AIDS patients in rural areas of Mozambique28
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health27
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 analysis27
Identifying and evaluating clinical subtypes of Alzheimer’s disease in care electronic health records using unsupervised machine learning26
Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals26
Machine learning-based models for the prediction of breast cancer recurrence risk26
Explaining multivariate molecular diagnostic tests via Shapley values26
Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis26
A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy25
Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment25
Factors associated with nurses' user resistance to change of electronic health record systems25
Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression25
Development of a machine learning-based acuity score prediction model for virtual care settings24
Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset24
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic24
De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation23
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes23
AMFormulaS: an intelligent retrieval system for traditional Chinese medicine formulas22
YouTube as a source of information during the Covid-19 pandemic: a content analysis of YouTube videos published during January to March 202022
Machine learning algorithms for predicting low birth weight in Ethiopia22
Requirements and challenges of hospital dashboards: a systematic literature review22
A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy22
CardioGraph: a platform to study variations associated with familiar cardiopathies22
The perceived importance of prognostic aspects considered by physicians during work disability evaluation: a survey22
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences22
Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method22
A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III22
The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation21
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach21
Harnessing computational tools of the digital era for enhanced infection control21
Data privacy-aware machine learning approach in pancreatic cancer diagnosis21
A novel explainable machine learning-based healthy ageing scale21
Identification of clinical factors related to prediction of alcohol use disorder from electronic health records using feature selection methods21
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data21
Factors affecting the performance of brain arteriovenous malformation rupture prediction models21
Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination20
Development and user testing of a patient decision aid for cancer patients considering treatment for anxiety or depression20
Prognosis patients with COVID-19 using deep learning20
Chinese medical entity recognition based on the dual-branch TENER model20
Predicting atrial fibrillation episodes with rapid ventricular rates associated with low levels of activity20
2.5D MFFAU-Net: a convolutional neural network for kidney segmentation20
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 19
Drug closed-loop management system using mobile technology19
Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana19
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making19
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-analysis19
Kernel principal components based cascade forest towards disease identification with human microbiota19
Healthcare dashboard technologies and data visualization for lipid management: A scoping review19
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis19
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study19
Automatic RadLex coding of Chinese structured radiology reports based on text similarity ensemble19
ICD-11: an international classification of diseases for the twenty-first century18
Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data18
Machine learning based model for the early detection of Gestational Diabetes Mellitus18
Evaluating breast cancer websites targeting Arabic speakers: empirical investigation of popularity, availability, accessibility, readability, and quality18
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia18
Development and perceived usability evaluation of an interactive smartphone application for the teaching of hemodynamics and evaluation of arterial pulse pressure variation18
Context factors in clinical decision-making: a scoping review18
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis18
The social experience of uncertainty: a qualitative analysis of emergency department care for suspected pneumonia for the design of decision support18
A mental models approach for defining explainable artificial intelligence18
Applying nonlinear measures to the brain rhythms: an effective method for epilepsy diagnosis18
Modeling-based design of adaptive control strategy for the effective preparation of ‘Disease X’17
Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort17
Designing and evaluating a mobile app to assist patients undergoing coronary angiography and assessing its impact on anxiety, stress levels, and self-care17
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges17
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis17
Use of diagnostic likelihood ratio of outcome to evaluate misclassification bias in the planning of database studies17
Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records17
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study17
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish17
Precision cancer medicine and the doctor-patient relationship: a systematic review and narrative synthesis17
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 Korea17
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records16
A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing16
Intelligent virtual case learning system based on real medical records and natural language processing16
The association between video or telephone telemedicine visit type and orders in primary care16
Haematology dimension reduction, a large scale application to regular care haematology data16
Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda16
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches16
Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them16
Prevention and control of urinary tract stones using a smartphone-based self-care application: design and evaluation16
Ensemble learning for the early prediction of neonatal jaundice with genetic features16
An evaluation of GPT models for phenotype concept recognition16
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis15
Factors influencing online orthopedic doctor–patient consultations15
ECG signal classification based on deep CNN and BiLSTM15
Quantifying the impact of addressing data challenges in prediction of length of stay15
Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients15
Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators15
Systematic review and meta-analysis of workload among medical records coders in China15
The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis15
Application of machine learning techniques for predicting survival in ovarian cancer15
Participatory methods in a digital setting: experiences from the co-creation of an eHealth tool for people with chronic obstructive pulmonary disease15
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy15
A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones15
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis15
Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands15
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review15
A novel EEG-based major depressive disorder detection framework with two-stage feature selection15
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening15
Identifying drug-related attributes to personalise antihypertensive agents: the outcome report of patients receiving metoprolol therapy14
The coming Omicron waves and factors affecting its spread after China reopening borders14
Descriptive forest: experiments on a novel tree-structure-generalization method for describing cardiovascular diseases14
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 tool14
Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 202114
Surrogate endpoint evaluation using data from one large global randomized controlled trial14
Risk-adjusted zero-inflated Poisson CUSUM charts for monitoring influenza surveillance data14
Development and user-testing of a brief decision aid for aspirin as a preventive approach alongside colorectal cancer screening14
Evaluating the usability of Iran’s national comprehensive health information system: a think-aloud study to uncover usability problems in the recording of childcare data14
Multimodal deep learning-based diagnostic model for BPPV14
An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse14
%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests14
Health information systems in developing countries: case of African countries14
Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times14
Correction: Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method14
Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making14
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS14
Trusted sources of information on COVID-19 vaccine in Uganda14
The development of a decision aid to support Hodgkin lymphoma survivors considering lung cancer screening14
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning14
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory14
Enriching limited information on rare diseases from heterogeneous networks for drug repositioning14
Using provocative design to foster electronic informed consent innovation13
Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood13
Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer13
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population13
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study13
Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach13
Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction13
Community perspectives on the use of electronic health data to support reflective practice by health professionals13
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital13
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework13
Prediction of central venous catheter-associated deep venous thrombosis in pediatric critical care settings13
Optimization of vision transformer-based detection of lung diseases from chest X-ray images13
Overall performance of a drug–drug interaction clinical decision support system: quantitative evaluation and end-user survey13
Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge13
Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study12
Prediction of unplanned 30-day readmission for ICU patients with heart failure12
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal12
A deep semantic segmentation correction network for multi-model tiny lesion areas detection12
The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model12
Towards interpretable sleep stage classification with a multi-stream fusion network12
Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings12
Factors associated with the local control of brain metastases: a systematic search and machine learning application12
Analyzing the medical record homepages quality in a Chinese EMR system12
Research, development, and evaluation of the practical effect of a storage inflow and outflow management system for consumables in the endocrinology department of a hospital12
DREAMER: a computational framework to evaluate readiness of datasets for machine learning12
An informatics consult approach for generating clinical evidence for treatment decisions12
Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards12
Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV212
A bibliometric analysis of global research output on network meta-analysis12
Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients12
How successful is the CatBoost classifier in diagnosing different dental anomalies in patients via sella turcica and vertebral morphologic alteration?12
Users’ experiences with an interactive Evidence to Decision (iEtD) framework: a qualitative analysis12
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning12
Intelligent identification system of gastric stromal tumors based on blood biopsy indicators12
A machine learning approach to determine the risk factors for fall in multiple sclerosis12
Design and evaluation of a mobile-based nutrition education application for infertile women in Iran12
Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality12
The future of medical scribes documenting in the electronic health record: results of an expert consensus conference12
TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines12
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction12
Evaluation of medical decision support systems (DDX generators) using real medical cases of varying complexity and origin12
Continuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers12
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 change12
Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning11
A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies11
Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning11
Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation11
Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda11
Development and evaluation of a whole-chain management system for critical value reporting11
Which risk factor best predicts coronary artery disease using artificial neural network method?11
Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic review11
Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology11
Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation11
Correction: Causal analysis for multivariate integrated clinical and environmental exposures data11
0.11983585357666