Journal of Biomedical Informatics

Papers
(The median citation count of Journal of Biomedical Informatics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies348
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues167
Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread136
Process mining for healthcare: Characteristics and challenges133
AMMU: A survey of transformer-based biomedical pretrained language models122
Comparative study of machine learning methods for COVID-19 transmission forecasting117
Drug repurposing for COVID-19 via knowledge graph completion114
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review103
Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach80
Application of AR and VR in hand rehabilitation: A systematic review73
Detection and classification of breast cancer using logistic regression feature selection and GMDH classifier71
An empirical characterization of fair machine learning for clinical risk prediction70
Random forest swarm optimization-based for heart diseases diagnosis70
Deep learning with wearable based heart rate variability for prediction of mental and general health67
A tongue features fusion approach to predicting prediabetes and diabetes with machine learning66
Biomedical named entity recognition using BERT in the machine reading comprehension framework66
Detection of calibration drift in clinical prediction models to inform model updating64
Residual LSTM layered CNN for classification of gastrointestinal tract diseases60
Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition56
Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing54
Language models are an effective representation learning technique for electronic health record data54
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies52
Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance52
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions50
Topological data analysis in biomedicine: A review48
A framework for patient-centered telemedicine: Application and lessons learned from vulnerable populations46
Classification of breast cancer using microarray gene expression data: A survey43
Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India43
Evaluating pointwise reliability of machine learning prediction41
Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction41
A random forest method with feature selection for developing medical prediction models with clustered and longitudinal data41
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization40
GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification40
PASCLex: A comprehensive post-acute sequelae of COVID-19 (PASC) symptom lexicon derived from electronic health record clinical notes37
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation36
KG-Predict: A knowledge graph computational framework for drug repurposing35
Using the contextual language model BERT for multi-criteria classification of scientific articles35
Potential circRNA-disease association prediction using DeepWalk and network consistency projection35
REDCap on FHIR: Clinical Data Interoperability Services35
Process mining in healthcare – An updated perspective on the state of the art35
Standardized electronic health record data modeling and persistence: A comparative review34
Character level and word level embedding with bidirectional LSTM – Dynamic recurrent neural network for biomedical named entity recognition from literature33
Alzheimer’s disease diagnosis framework from incomplete multimodal data using convolutional neural networks33
Dementia medical screening using mobile applications: A systematic review with a new mapping model32
A novel fitness function in genetic programming for medical data classification32
Data mining and machine learning in cancer survival research: An overview and future recommendations31
Extracting COVID-19 diagnoses and symptoms from clinical text: A new annotated corpus and neural event extraction framework31
Mind the clinical-analytic gap: Electronic health records and COVID-19 pandemic response31
Mining for equitable health: Assessing the impact of missing data in electronic health records30
Can technological advancements help to alleviate COVID-19 pandemic? a review29
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks28
Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods28
Membership inference attacks against synthetic health data28
Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey27
Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit27
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types26
Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis26
Data protection-compliant broad consent for secondary use of health care data and human biosamples for (bio)medical research: Towards a new German national standard26
A probabilistic model for co-occurrence analysis in bibliometrics26
A virtual reality methodology for cardiopulmonary resuscitation training with and without a physical mannequin26
Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach26
Chinese medical named entity recognition based on multi-granularity semantic dictionary and multimodal tree26
Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning25
Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction25
A systematic review of computational approaches to understand cancer biology for informed drug repurposing24
IoT-based GPS assisted surveillance system with inter-WBAN geographic routing for pandemic situations24
A compartment modeling approach to reconstruct and analyze gender and age-grouped CoViD-19 Italian data for decision-making strategies24
Using hidden Markov model to predict recurrence of breast cancer based on sequential patterns in gene expression profiles24
Obtaining EHR-derived datasets for COVID-19 research within a short time: a flexible methodology based on Detailed Clinical Models24
Interpreting a recurrent neural network’s predictions of ICU mortality risk24
Technology acceptance and critical mass: Development of a consolidated model to explain the actual use of mobile health care communication tools24
FeARH: Federated machine learning with anonymous random hybridization on electronic medical records24
Long-term prediction for temporal propagation of seasonal influenza using Transformer-based model24
An hybrid ECG-based deep network for the early identification of high-risk to major cardiovascular events for hypertension patients23
A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data23
Extracting clinical terms from radiology reports with deep learning23
Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction23
Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes23
Real-time data analysis in health monitoring systems: A comprehensive systematic literature review23
Machine learning based on eye-tracking data to identify Autism Spectrum Disorder: A systematic review and meta-analysis23
A knowledge graph embedding based approach to predict the adverse drug reactions using a deep neural network22
Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data22
Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism22
Learning Drug-Disease-Target Embedding (DDTE) from knowledge graphs to inform drug repurposing hypotheses22
Few-shot learning for medical text: A review of advances, trends, and opportunities22
Pupillary light reflex as a diagnostic aid from computational viewpoint: A systematic literature review21
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients21
Augmented reality in robotic assisted orthopaedic surgery: A pilot study21
Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study21
Adaptation of an NLP system to a new healthcare environment to identify social determinants of health21
On the efficacy of behavior change techniques in mHealth for self-management of diabetes: A meta-analysis21
Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks20
Smart conversational agents for the detection of neuropsychiatric disorders: A systematic review20
Internet of Things in active cancer Treatment: A systematic review20
A deep learning–based, unsupervised method to impute missing values in electronic health records for improved patient management19
Adaptive feature squeeze network for nuclear cataract classification in AS-OCT image19
A knowledge base of clinical trial eligibility criteria19
Generative adversarial networks for biomedical time series forecasting and imputation19
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network19
GLA-Net: A global-local attention network for automatic cataract classification19
Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care19
Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation19
Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review19
Multi-channel fusion LSTM for medical event prediction using EHRs19
Sentiment analysis of clinical narratives: A scoping review19
Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations18
Multi-level semantic fusion network for Chinese medical named entity recognition18
A prediction and interpretation framework of acute kidney injury in critical care18
CASIDE: A data model for interoperable cancer survivorship information based on FHIR18
An interpretable machine learning approach to multimodal stress detection in a simulated office environment18
Deep learning for rare disease: A scoping review18
Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media18
A novel deep interval type-2 fuzzy LSTM (DIT2FLSTM) model applied to COVID-19 pandemic time-series prediction18
Reducing waiting time for remote patients in telemedicine with considering treated patients in emergency department based on body sensors technologies and hybrid computational algorithms: Toward scala18
Learning Bayesian networks from demographic and health survey data18
Automatic detection of COVID-19 vaccine misinformation with graph link prediction18
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ18
A contextual multi-task neural approach to medication and adverse events identification from clinical text17
Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation17
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers17
idse-HE: Hybrid embedding graph neural network for drug side effects prediction17
COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps17
Searching for scientific evidence in a pandemic: An overview of TREC-COVID17
Machine learning-based demand forecasting in cancer palliative care home hospitalization17
ReHouSED: A novel measurement of Veteran housing stability using natural language processing17
Predicting physician burnout using clinical activity logs: Model performance and lessons learned17
Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy17
A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-1917
An efficient model selection for linear discriminant function-based recursive feature elimination16
Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data16
Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability16
Early diagnosis of Parkinson's disease using Continuous Convolution Network: Handwriting recognition based on off-line hand drawing without template16
Development of a generalizable natural language processing pipeline to extract physician-reported pain from clinical reports: Generated using publicly-available datasets and tested on institutional cl16
An overview of biomedical entity linking throughout the years16
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets16
Supporting rural public health practice to address local-level social determinants of health across Northwest states: Development of an interactive visualization dashboard16
Graph-based abstractive biomedical text summarization16
Cross domains adversarial learning for Chinese named entity recognition for online medical consultation16
A scalable approach for developing clinical risk prediction applications in different hospitals16
KeMRE: Knowledge-enhanced medical relation extraction for Chinese medicine instructions16
Deep learning prediction models based on EHR trajectories: A systematic review15
Domain specific word embeddings for natural language processing in radiology15
Enhancing narrative clinical guidance with computer-readable artifacts: Authoring FHIR implementation guides based on WHO recommendations15
Automatic phenotyping of electronical health record: PheVis algorithm15
Predicting neonatal respiratory distress syndrome and hypoglycaemia prior to discharge: Leveraging health administrative data and machine learning15
MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record15
Towards a goal-oriented methodology for clinical-guideline-based management recommendations for patients with multimorbidity: GoCom and its preliminary evaluation15
An attentive joint model with transformer-based weighted graph convolutional network for extracting adverse drug event relation15
Textual emotion detection in health: Advances and applications15
Diagnosis of COVID-19 via acoustic analysis and artificial intelligence by monitoring breath sounds on smartphones15
Simulation-derived best practices for clustering clinical data15
Development of a FHIR RDF data transformation and validation framework and its evaluation15
Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes15
Medical concept normalization in French using multilingual terminologies and contextual embeddings15
“Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks15
Predicting Alzheimer’s Disease from Spoken and Written Language Using Fusion-Based Stacked Generalization15
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer14
Identification of pediatric respiratory diseases using a fine-grained diagnosis system14
How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare14
Formative feedback generation in a VR-based dental surgical skill training simulator14
Visualising and quantifying relevant parkinsonian gait patterns using 3D convolutional network14
Convolutional neural network in proteomics and metabolomics for determination of comorbidity between cancer and schizophrenia14
NLM-Gene, a richly annotated gold standard dataset for gene entities that addresses ambiguity and multi-species gene recognition14
Hierarchical label-wise attention transformer model for explainable ICD coding14
A hierarchical clustering and data fusion approach for disease subtype discovery14
A multi-task Gaussian process self-attention neural network for real-time prediction of the need for mechanical ventilators in COVID-19 patients14
De-novo FAIRification via an Electronic Data Capture system by automated transformation of filled electronic Case Report Forms into machine-readable data14
Making science computable: Developing code systems for statistics, study design, and risk of bias14
Outcomes prediction in longitudinal data: Study designs evaluation, use case in ICU acquired sepsis14
Adjusting for indirectly measured confounding using large-scale propensity score14
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data14
Question-aware transformer models for consumer health question summarization14
Representation of evidence-based clinical practice guideline recommendations on FHIR14
Profile-based assessment of diseases affective factors using fuzzy association rule mining approach: A case study in heart diseases14
Toward assessing clinical trial publications for reporting transparency14
Insufficient sampling frequencies skew heart rate variability estimates: Implications for extracting heart rate metrics from neuroimaging and physiological data14
Propagation source identification of infectious diseases with graph convolutional networks14
A simple neural vector space model for medical concept normalization using concept embeddings13
A scalable random walk with restart on heterogeneous networks with Apache Spark for ranking disease-related genes through type-II fuzzy data fusion13
Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration13
Genomic considerations for FHIR®; eMERGE implementation lessons13
Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence13
Integrating machine learning predictions for perioperative risk management: Towards an empirical design of a flexible-standardized risk assessment tool13
The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review13
Concept placement using BERT trained by transforming and summarizing biomedical ontology structure13
Non-negative matrix factorization temporal topic models and clinical text data identify COVID-19 pandemic effects on primary healthcare and community health in Toronto, Canada13
Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy13
PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data13
Optimizing warfarin dosing using deep reinforcement learning12
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks12
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes–Mallows index12
Fusion of sequential visits and medical ontology for mortality prediction12
Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactions12
Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS)12
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset12
MultiGBS: A multi-layer graph approach to biomedical summarization12
The need for multimodal health data modeling: A practical approach for a federated-learning healthcare platform12
APLUS: A Python library for usefulness simulations of machine learning models in healthcare12
Trends and opportunities in computable clinical phenotyping: A scoping review12
A strategy for validation of variables derived from large-scale electronic health record data12
Exploration of text matching methods in Chinese disease Q&A systems: A method using ensemble based on BERT and boosted tree models12
Analysis of security and privacy challenges for DNA-genomics applications and databases12
Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis12
Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks12
Supporting capacity management decisions in healthcare using data-driven process simulation12
FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model12
Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization12
Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature12
Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan11
Deep imputation of missing values in time series health data: A review with benchmarking11
Creating and implementing a COVID-19 recruitment Data Mart11
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis11
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care11
Annotated dataset creation through large language models for non-english medical NLP11
Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential11
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets11
A new feature selection method based on feature distinguishing ability and network influence11
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark11
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease11
KEBLM: Knowledge-Enhanced Biomedical Language Models11
Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort11
ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes11
SurvMaximin: Robust federated approach to transporting survival risk prediction models11
Studying pediatric health outcomes with electronic health records using Bayesian clustering and trajectory analysis11
MedKPL: A heterogeneous knowledge enhanced prompt learning framework for transferable diagnosis11
iODA: An integrated tool for analysis of cancer pathway consistency from heterogeneous multi-omics data11
Natural language processing for clinical notes in dentistry: A systematic review11
A scheme for inferring viral-host associations based on codon usage patterns identifies the most affected signaling pathways during COVID-1911
Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework10
Predictive analytics for step-up therapy: Supervised or semi-supervised learning?10
A weakly supervised model for the automated detection of adverse events using clinical notes10
Fine-tuning BERT for automatic ADME semantic labeling in FDA drug labeling to enhance product-specific guidance assessment10
MTDCNet: A 3D multi-threading dilated convolutional network for brain tumor automatic segmentation10
Q-CHAT-NAO: A robotic approach to autism screening in toddlers10
A Bi-level representation learning model for medical visual question answering10
Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis10
Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer10
A novel hierarchical machine learning model for hospital-acquired venous thromboembolism risk assessment among multiple-departments10
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms10
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data10
MRC4BioER: Joint extraction of biomedical entities and relations in the machine reading comprehension framework10
Automatic full conversion of clinical terms into SNOMED CT concepts10
COnVIDa: COVID-19 multidisciplinary data collection and dashboard10
Modified Needleman–Wunsch algorithm for clinical pathway clustering10
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data10
Process data analytics for hospital case-mix planning10
Supporting SNOMED CT postcoordination with knowledge graph embeddings10
Safety-driven design of machine learning for sepsis treatment10
Enhancing Biomedical Relation Extraction with Transformer Models using Shortest Dependency Path Features and Triplet Information10
Identifying the oncogenic potential of gene fusions exploiting miRNAs10
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