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 2020-04-01 to 2024-04-01.)
ArticleCitations
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective501
The role of artificial intelligence in healthcare: a structured literature review246
Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives159
ICD-11: an international classification of diseases for the twenty-first century117
Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis104
Combining structured and unstructured data for predictive models: a deep learning approach99
Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU79
Cybersecurity of Hospitals: discussing the challenges and working towards mitigating the risks78
Challenges of Telemedicine during the COVID-19 pandemic: a systematic review73
A systematic review of natural language processing applied to radiology reports72
Comparison of RetinaNet, SSD, and YOLO v3 for real-time pill identification71
Shared decision making in surgery: a scoping review of patient and surgeon preferences67
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction65
CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the features64
The most used questionnaires for evaluating telemedicine services62
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques58
Comparing machine learning algorithms for predicting COVID-19 mortality57
Stress detection using deep neural networks57
Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology56
Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis54
Ethics and governance of trustworthy medical artificial intelligence54
Text classification models for the automatic detection of nonmedical prescription medication use from social media53
The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond52
Constrained transformer network for ECG signal processing and arrhythmia classification49
E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey49
Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making49
HealtheDataLab – a cloud computing solution for data science and advanced analytics in healthcare with application to predicting multi-center pediatric readmissions48
Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning47
Data quality of the routine health management information system at the primary healthcare facility and district levels in Tanzania47
A qualitative research framework for the design of user-centered displays of explanations for machine learning model predictions in healthcare46
A fuzzy TOPSIS based analysis toward selection of effective security requirements engineering approach for trustworthy healthcare software development45
Barriers to patient, provider, and caregiver adoption and use of electronic personal health records in chronic care: a systematic review45
Public health utility of cause of death data: applying empirical algorithms to improve data quality45
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes44
The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis43
Transformer-based deep neural network language models for Alzheimer’s disease risk assessment from targeted speech42
The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health41
A hybrid cost-sensitive ensemble for heart disease prediction40
Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences39
Gradient boosting for Parkinson’s disease diagnosis from voice recordings39
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 Datalink39
Deep Q-networks with web-based survey data for simulating lung cancer intervention prediction and assessment in the elderly: a quantitative study38
Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAU37
Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status36
Physiotherapists’ perceptions of and willingness to use telerehabilitation in Kuwait during the COVID-19 pandemic36
A novel approach for heart disease prediction using strength scores with significant predictors35
CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability35
Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier35
E-health literacy in older adults: an evolutionary concept analysis33
Exploring emerging IoT technologies in smart health research: a knowledge graph analysis32
AFibNet: an implementation of atrial fibrillation detection with convolutional neural network32
Assessing patient safety in a pediatric telemedicine setting: a multi-methods study32
Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning32
Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews31
Evaluation of quality and use of health management information system in primary health care units of east Wollega zone, Oromia regional state, Ethiopia:31
Interpretable clinical prediction via attention-based neural network30
KGen: a knowledge graph generator from biomedical scientific literature30
Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey30
The association between Internet use and health-related outcomes in older adults and the elderly: a cross-sectional study30
Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners30
Risk management-based security evaluation model for telemedicine systems30
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium29
Interoperability of heterogeneous health information systems: a systematic literature review29
A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS29
Telemedicine application in patients with chronic disease: a systematic review and meta-analysis28
Evaluation of e-health (Seha) application: a cross-sectional study in Saudi Arabia28
Clinicians perceptions of a telemedicine system: a mixed method study of Makassar City, Indonesia28
Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes28
Tongue image quality assessment based on a deep convolutional neural network28
Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy27
A bibliometric analysis of global research output on network meta-analysis27
Prediction of adverse drug reactions based on knowledge graph embedding27
Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis27
Improving random forest predictions in small datasets from two-phase sampling designs26
Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches26
Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach26
A mixed methods systematic review of the effects of patient online self-diagnosing in the ‘smart-phone society’ on the healthcare professional-patient relationship and medical authority25
WEARCON: wearable home monitoring in children with asthma reveals a strong association with hospital based assessment of asthma control25
Appraising patient preference methods for decision-making in the medical product lifecycle: an empirical comparison25
Early warning score validation methodologies and performance metrics: a systematic review25
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients24
Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients24
Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure24
Privacy-preserving data sharing infrastructures for medical research: systematization and comparison24
Routine health information system utilization for evidence-based decision making in Amhara national regional state, northwest Ethiopia: a multi-level analysis23
Quality and readability of web-based Arabic health information on periodontal disease23
Prediction of neonatal deaths in NICUs: development and validation of machine learning models23
Sparse multi-output Gaussian processes for online medical time series prediction23
Medical recommender systems based on continuous-valued logic and multi-criteria decision operators, using interpretable neural networks23
Hospital acquired pressure injury prediction in surgical critical care patients22
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals22
Korean clinical entity recognition from diagnosis text using BERT22
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI22
The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions22
Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity22
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers22
Richer fusion network for breast cancer classification based on multimodal data21
Common patient-reported outcomes across ICHOM Standard Sets: the potential contribution of PROMIS®21
KGHC: a knowledge graph for hepatocellular carcinoma21
ECG signal classification based on deep CNN and BiLSTM21
Evaluation of a clinical decision support system for rare diseases: a qualitative study20
Examining the effect of explanation on satisfaction and trust in AI diagnostic systems20
Factors affecting the mature use of electronic medical records by primary care physicians: a systematic review20
Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches20
Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model20
Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study20
Perception of healthcare workers on mobile app-based clinical guideline for the detection and treatment of mental health problems in primary care: a qualitative study in Nepal20
Improving patient-provider communication about chronic pain: development and feasibility testing of a shared decision-making tool19
One country's journey to interoperability: Tanzania's experience developing and implementing a national health information exchange19
A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones19
Exploring drivers of patient satisfaction using a random forest algorithm19
Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability19
Shared decision making, physicians’ explanations, and treatment satisfaction: a cross-sectional survey of prostate cancer patients19
Machine learning model for predicting acute kidney injury progression in critically ill patients19
Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as 18
Interoperability opportunities and challenges in linking mhealth applications and eRecord systems: Botswana as an exemplar18
Using autoencoders as a weight initialization method on deep neural networks for disease detection18
Analysis of real-world data on growth hormone therapy adherence using a connected injection device18
A combination of two methods for evaluating the usability of a hospital information system18
Examining the quality of record linkage process using nationwide Brazilian administrative databases to build a large birth cohort18
Medical service demand forecasting using a hybrid model based on ARIMA and self-adaptive filtering method18
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records18
Compliance with medical recommendations depending on the use of artificial intelligence as a diagnostic method18
Global scientific output trend for Akkermansia muciniphila research: a bibliometric and scientometric analysis17
Diabetes mellitus risk prediction in the presence of class imbalance using flexible machine learning methods17
Development and validation of a tool to assess the risk of QT drug-drug interactions in clinical practice17
Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model17
AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks17
Development of decision aids for female BRCA1 and BRCA2 mutation carriers in Germany to support preference-sensitive decision-making17
The statistical importance of P-POSSUM scores for predicting mortality after emergency laparotomy in geriatric patients17
Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units17
Health information systems in developing countries: case of African countries17
An app for supporting older people receiving home care – usage, aspects of health and health literacy: a quasi-experimental study17
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases17
Detection of K-complexes in EEG waveform images using faster R-CNN and deep transfer learning17
ICD-11 extension codes support detailed clinical abstraction and comprehensive classification16
Transformers-sklearn: a toolkit for medical language understanding with transformer-based models16
Stochastic Petri net model describing the relationship between reported maternal and congenital syphilis cases in Brazil16
The tragic paradoxical effect of telemedicine on healthcare disparities- a time for redemption: a narrative review16
Socioeconomic and behavioural factors associated with access to and use of Personal Health Records16
Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative16
Privacy-preserving dataset combination and Lasso regression for healthcare predictions16
Web-based online resources about adverse interactions or side effects associated with complementary and alternative medicine: a systematic review, summarization and quality assessment15
The prediction of hospital length of stay using unstructured data15
Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies15
Data cleaning process for HIV-indicator data extracted from DHIS2 national reporting system: a case study of Kenya15
Usability evaluation of mHealth apps for elderly individuals: a scoping review15
Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts15
Fetal birthweight prediction with measured data by a temporal machine learning method15
Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers15
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records15
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion15
Providing telenursing care for victims: a simulated study for introducing of possibility nursing interventions in disasters15
Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers15
Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosis14
Factors influencing healthcare providers’ attitude and willingness to use information technology in diabetes management14
Semi-supervised method for image texture classification of pituitary tumors via CycleGAN and optimized feature extraction14
Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence14
Evaluating breast cancer websites targeting Arabic speakers: empirical investigation of popularity, availability, accessibility, readability, and quality14
Patient autonomy in dentistry: demonstrating the role for shared decision making14
Construction of a semi-automatic ICD-10 coding system14
Mapping evidence of mobile health technologies for disease diagnosis and treatment support by health workers in sub-Saharan Africa: a scoping review14
Solving the class imbalance problem using ensemble algorithm: application of screening for aortic dissection14
Staff perspectives on the usability of electronic patient records for planning and delivering dementia care in nursing homes: a multiple case study14
Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases14
Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study14
YouTube as a source of information during the Covid-19 pandemic: a content analysis of YouTube videos published during January to March 202014
Benefits and concerns associated with blockchain-based health information exchange (HIE): a qualitative study from physicians' perspectives14
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine14
Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data14
Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms14
Home blood pressure data visualization for the management of hypertension: designing for patient and physician information needs14
A stacking-based model for predicting 30-day all-cause hospital readmissions of patients with acute myocardial infarction14
Computational analysis to repurpose drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-214
Creating value with eHealth: identification of the value proposition with key stakeholders for the resilience navigator app14
How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach14
Identifying and evaluating clinical subtypes of Alzheimer’s disease in care electronic health records using unsupervised machine learning14
Reinforcement learning assisted oxygen therapy for COVID-19 patients under intensive care13
Prediction of unplanned 30-day readmission for ICU patients with heart failure13
Learnings from the design and acceptance of the German COVID-19 tracing app for IS-driven crisis management: a design science research13
Determinants of successful guideline implementation: a national cross-sectional survey13
A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort13
Development of a decision support intervention for family members of adults who lack capacity to consent to trials13
Explaining multivariate molecular diagnostic tests via Shapley values13
Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models13
Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites13
Improving the informatics competency of critical care nurses: results of an interventional study in the southeast of Iran13
Differential influences of social support on app use for diabetes self-management – a mixed methods approach13
Development of a data-driven COVID-19 prognostication tool to inform triage and step-down care for hospitalised patients in Hong Kong: a population-based cohort study13
Surgical workflow simulation for the design and assessment of operating room setups in orthopedic surgery13
Effectiveness of IT-based interventions on self-management in adult kidney transplant recipients: a systematic review13
Identification of plasma lipid species as promising diagnostic markers for prostate cancer13
Usability evaluation of an integrated electronic medication management system implemented in an oncology setting using the unified theory of acceptance and use of technology13
Healthcare managers’ experiences of technostress and the actions they take to handle it – a critical incident analysis13
Derivation and validation of a computable phenotype for acute decompensated heart failure in hospitalized patients13
An automated data cleaning method for Electronic Health Records by incorporating clinical knowledge13
Key changes to improve social presence of a virtual health assistant promoting colorectal cancer screening informed by a technology acceptance model13
Men’s view on participation in decisions about prostate-specific antigen (PSA) screening: patient and public involvement in development of a survey13
Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?13
Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study12
The effect of a smartphone application on women’s performance and health beliefs about breast self-examination: a quasi-experimental study12
Definitions, components and processes of data harmonisation in healthcare: a scoping review12
Supporting deprescribing in hospitalised patients: formative usability testing of a computerised decision support tool12
The association between video or telephone telemedicine visit type and orders in primary care12
A method for interoperable knowledge-based data quality assessment12
Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models12
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach12
Explanation and prediction of clinical data with imbalanced class distribution based on pattern discovery and disentanglement12
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features12
Utilizing deep learning and graph mining to identify drug use on Twitter data12
Parental understanding of crucial medical jargon used in prenatal prematurity counseling12
A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database12
A mental models approach for defining explainable artificial intelligence12
Development and initial implementation of electronic clinical decision supports for recognition and management of hospital-acquired acute kidney injury12
The role of histogram analysis in diffusion-weighted imaging in the differential diagnosis of benign and malignant breast lesions12
Patient characteristics and utilization of an online patient portal in a rural academic general internal medicine practice12
Ready for SDM: evaluating a train-the-trainer program to facilitate implementation of SDM training in Norway12
Assessing elderly’s functional balance and mobility via analyzing data from waist-mounted tri-axial wearable accelerometers in timed up and go tests12
An explainable CNN approach for medical codes prediction from clinical text12
Determinant factors in adopting mobile health application in healthcare by nurses12
Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism12
Application of multi-label classification models for the diagnosis of diabetic complications12
Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder12
Research on Teleconsultation service quality based on multi-granularity linguistic information: the perspective of regional doctors12
Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST): a multicenter study protocol to evaluate efficacy of digital tool11
Identifying and selecting implementation theories, models and frameworks: a qualitative study to inform the development of a decision support tool11
Temporal relationship of computed and structured diagnoses in electronic health record data11
Mobile health application for Thai women: investigation and model11
A benchmark dataset and case study for Chinese medical question intent classification11
Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma11
Adapting a home telemonitoring intervention for underserved Hispanic/Latino patients with type 2 diabetes: an acceptability and feasibility study11
Smartphone and medical application use among dentists in China11
ICT-based adherence monitoring in kidney transplant recipients: a randomized controlled trial11
Machine learning algorithms for predicting low birth weight in Ethiopia11
Outbreak minimization v.s. influence maximization: an optimization framework11
Development and validation of data quality rules in administrative health data using association rule mining11
Nurses’ experiences and viewpoints about the benefits of adopting information technology in health care: a qualitative study in Iran11
Machine learning approaches for the prediction of postoperative complication risk in liver resection patients11
The role of text messaging intervention in Inner Mongolia among patients with type 2 diabetes mellitus: a randomized controlled trial11
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis11
Explainable machine learning to predict long-term mortality in critically ill ventilated patients: a retrospective study in central Taiwan11
Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents11
Assessing the effect of virtual education on information literacy competency for evidence-based practice among the undergraduate nursing students11
An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy11
Implementation challenges and perception of care providers on Electronic Medical Records at St. Paul’s and Ayder Hospitals, Ethiopia11
An exploratory study of public’ awareness about robotics-assisted surgery in Kuwait11
A systematic review of theoretical constructs in CDS literature11
Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction11
DLI-IT: a deep learning approach to drug label identification through image and text embedding11
Application of machine learning techniques for predicting survival in ovarian cancer11
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