Journal of Biomedical Informatics

Papers
(The TQCC of Journal of Biomedical Informatics is 9. 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
The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies261
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues134
A hybrid sampling algorithm combining M-SMOTE and ENN based on Random forest for medical imbalanced data125
Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread124
Chinese clinical named entity recognition with variant neural structures based on BERT methods103
Social media based surveillance systems for healthcare using machine learning: A systematic review100
Drug repurposing for COVID-19 via knowledge graph completion97
Comparative study of machine learning methods for COVID-19 transmission forecasting97
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models96
Deep ensemble learning for Alzheimer's disease classification94
Process mining for healthcare: Characteristics and challenges91
Investigating voice as a biomarker: Deep phenotyping methods for early detection of Parkinson's disease88
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review86
Clinical concept extraction: A methodology review83
AMMU: A survey of transformer-based biomedical pretrained language models83
Comparing deep learning architectures for sentiment analysis on drug reviews80
FAIR data sharing: The roles of common data elements and harmonization63
Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach62
An empirical characterization of fair machine learning for clinical risk prediction62
Detection and classification of breast cancer using logistic regression feature selection and GMDH classifier57
Deep learning with wearable based heart rate variability for prediction of mental and general health55
Biomedical named entity recognition using BERT in the machine reading comprehension framework54
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine54
Random forest swarm optimization-based for heart diseases diagnosis53
Detection of calibration drift in clinical prediction models to inform model updating52
Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019)51
Residual LSTM layered CNN for classification of gastrointestinal tract diseases50
A tongue features fusion approach to predicting prediabetes and diabetes with machine learning50
Development and validation of early warning score system: A systematic literature review50
Deep phenotyping: Embracing complexity and temporality—Towards scalability, portability, and interoperability50
Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance48
Application of AR and VR in hand rehabilitation: A systematic review48
Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition46
Language models are an effective representation learning technique for electronic health record data45
Topological data analysis in biomedicine: A review42
Explainable classifier for improving the accountability in decision-making for colorectal cancer diagnosis from histopathological images42
Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing42
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies41
Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India37
Agents and robots for collaborating and supporting physicians in healthcare scenarios37
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions36
Classification of breast cancer using microarray gene expression data: A survey34
A framework for patient-centered telemedicine: Application and lessons learned from vulnerable populations34
A random forest method with feature selection for developing medical prediction models with clustered and longitudinal data34
GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification33
PASCLex: A comprehensive post-acute sequelae of COVID-19 (PASC) symptom lexicon derived from electronic health record clinical notes32
Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction32
Potential circRNA-disease association prediction using DeepWalk and network consistency projection32
Weight optimized neural network for heart disease prediction using hybrid lion plus particle swarm algorithm31
Dementia medical screening using mobile applications: A systematic review with a new mapping model31
A survey on single and multi omics data mining methods in cancer data classification31
Extracting drug-drug interactions from texts with BioBERT and multiple entity-aware attentions31
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization31
Alzheimer’s Disease stage identification using deep learning models31
An attention-based multi-task model for named entity recognition and intent analysis of Chinese online medical questions30
Mind the clinical-analytic gap: Electronic health records and COVID-19 pandemic response29
A content-based literature recommendation system for datasets to improve data reusability – A case study on Gene Expression Omnibus (GEO) datasets29
Using the contextual language model BERT for multi-criteria classification of scientific articles29
A novel fitness function in genetic programming for medical data classification28
INSMA: An integrated system for multimodal data acquisition and analysis in the intensive care unit28
KG-Predict: A knowledge graph computational framework for drug repurposing28
Alzheimer’s disease diagnosis framework from incomplete multimodal data using convolutional neural networks28
Extracting COVID-19 diagnoses and symptoms from clinical text: A new annotated corpus and neural event extraction framework28
Medical idioms for clinical Bayesian network development27
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation27
Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis26
Can technological advancements help to alleviate COVID-19 pandemic? a review26
Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods26
Research on Chinese medical named entity recognition based on collaborative cooperation of multiple neural network models26
REDCap on FHIR: Clinical Data Interoperability Services25
Character level and word level embedding with bidirectional LSTM – Dynamic recurrent neural network for biomedical named entity recognition from literature25
Evaluating pointwise reliability of machine learning prediction25
Evaluating sentence representations for biomedical text: Methods and experimental results24
Standardized electronic health record data modeling and persistence: A comparative review24
Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling24
Extraction of temporal relations from clinical free text: A systematic review of current approaches24
Drug-drug interaction extraction via hybrid neural networks on biomedical literature24
Harmonized representation learning on dynamic EHR graphs23
Evaluating the alert appropriateness of clinical decision support systems in supporting clinical workflow23
Towards Chinese clinical named entity recognition by dynamic embedding using domain-specific knowledge23
Membership inference attacks against synthetic health data23
IoT-based GPS assisted surveillance system with inter-WBAN geographic routing for pandemic situations23
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks23
FeARH: Federated machine learning with anonymous random hybridization on electronic medical records23
Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit23
Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey22
Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach22
Summarization of biomedical articles using domain-specific word embeddings and graph ranking22
Interpreting a recurrent neural network’s predictions of ICU mortality risk22
Chinese medical named entity recognition based on multi-granularity semantic dictionary and multimodal tree22
Obtaining EHR-derived datasets for COVID-19 research within a short time: a flexible methodology based on Detailed Clinical Models21
Learning Drug-Disease-Target Embedding (DDTE) from knowledge graphs to inform drug repurposing hypotheses21
An hybrid ECG-based deep network for the early identification of high-risk to major cardiovascular events for hypertension patients21
Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines21
Laparoscopy with augmented reality adaptations21
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types21
Data mining and machine learning in cancer survival research: An overview and future recommendations21
Adverse drug reaction detection on social media with deep linguistic features21
Process mining in healthcare – An updated perspective on the state of the art21
Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction20
A compartment modeling approach to reconstruct and analyze gender and age-grouped CoViD-19 Italian data for decision-making strategies20
Multi-view self-attention for interpretable drug–target interaction prediction20
A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data20
Data protection-compliant broad consent for secondary use of health care data and human biosamples for (bio)medical research: Towards a new German national standard20
Using hidden Markov model to predict recurrence of breast cancer based on sequential patterns in gene expression profiles19
Unsupervised multi-granular Chinese word segmentation and term discovery via graph partition19
Matching patients to clinical trials using semantically enriched document representation19
Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism19
Technology acceptance and critical mass: Development of a consolidated model to explain the actual use of mobile health care communication tools19
A virtual reality methodology for cardiopulmonary resuscitation training with and without a physical mannequin19
A probabilistic model for co-occurrence analysis in bibliometrics19
Maximizing the use of social and behavioural information from secondary care mental health electronic health records18
Internet of Things in active cancer Treatment: A systematic review18
Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data18
Extracting clinical terms from radiology reports with deep learning18
Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes18
Augmented reality in robotic assisted orthopaedic surgery: A pilot study18
“Hey assistant, how can I become a donor?” The case of a conversational agent designed to engage people in blood donation18
Exploring HCV genome to construct multi-epitope based subunit vaccine to battle HCV infection: Immunoinformatics based approach18
A corpus-driven standardization framework for encoding clinical problems with HL7 FHIR17
Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning17
Smart conversational agents for the detection of neuropsychiatric disorders: A systematic review17
A novel deep interval type-2 fuzzy LSTM (DIT2FLSTM) model applied to COVID-19 pandemic time-series prediction17
Exploiting adversarial transfer learning for adverse drug reaction detection from texts17
Dimensions of ecological validity for usability evaluations in clinical settings17
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
Mining for equitable health: Assessing the impact of missing data in electronic health records16
A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes16
Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learning16
FilterK: A new outlier detection method for k-means clustering of physical activity16
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ16
Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks16
ReHouSED: A novel measurement of Veteran housing stability using natural language processing16
Cross domains adversarial learning for Chinese named entity recognition for online medical consultation16
Endpoint prediction of heart failure using electronic health records16
Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation16
Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations16
A contextual multi-task neural approach to medication and adverse events identification from clinical text16
Adaptive feature squeeze network for nuclear cataract classification in AS-OCT image16
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network16
On the efficacy of behavior change techniques in mHealth for self-management of diabetes: A meta-analysis16
Monitoring behavioral symptoms of dementia using activity trackers15
Explainable decision support through the learning and visualization of preferences from a formal ontology of antibiotic treatments15
Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media15
Supporting topic modeling and trends analysis in biomedical literature15
Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data15
A knowledge base of clinical trial eligibility criteria15
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 scala15
Converting clinical document architecture documents to the common data model for incorporating health information exchange data in observational health studies: CDA to CDM15
Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation15
Real-time data analysis in health monitoring systems: A comprehensive systematic literature review15
Adaptation of an NLP system to a new healthcare environment to identify social determinants of health15
A scalable approach for developing clinical risk prediction applications in different hospitals15
KeMRE: Knowledge-enhanced medical relation extraction for Chinese medicine instructions14
Adversarial active learning for the identification of medical concepts and annotation inconsistency14
A visual framework to create photorealistic retinal vessels for diagnosis purposes14
A prediction and interpretation framework of acute kidney injury in critical care14
CASIDE: A data model for interoperable cancer survivorship information based on FHIR14
Multi-modal interactive fusion method for detecting teenagers’ psychological stress14
COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps14
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients14
Early diagnosis of Parkinson's disease using Continuous Convolution Network: Handwriting recognition based on off-line hand drawing without template14
Predicting neonatal respiratory distress syndrome and hypoglycaemia prior to discharge: Leveraging health administrative data and machine learning14
A deep learning–based, unsupervised method to impute missing values in electronic health records for improved patient management14
Fuzzy monitoring of in-bed postural changes for the prevention of pressure ulcers using inertial sensors attached to clothing14
A knowledge graph embedding based approach to predict the adverse drug reactions using a deep neural network14
Generative adversarial networks for biomedical time series forecasting and imputation14
Pupillary light reflex as a diagnostic aid from computational viewpoint: A systematic literature review13
An efficient model selection for linear discriminant function-based recursive feature elimination13
Formative feedback generation in a VR-based dental surgical skill training simulator13
Time-range based sequential mining for survival prediction in prostate cancer13
Predictive modeling of bacterial infections and antibiotic therapy needs in critically ill adults13
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer13
Long-term prediction for temporal propagation of seasonal influenza using Transformer-based model13
Automatic detection of COVID-19 vaccine misinformation with graph link prediction13
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports13
idse-HE: Hybrid embedding graph neural network for drug side effects prediction13
Visual storytelling enhances knowledge dissemination in biomedical science13
Domain specific word embeddings for natural language processing in radiology13
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets13
Towards unstructured mortality prediction with free-text clinical notes13
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 cl13
Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review13
Multi-channel fusion LSTM for medical event prediction using EHRs13
Predicting Alzheimer’s Disease from Spoken and Written Language Using Fusion-Based Stacked Generalization13
Towards a goal-oriented methodology for clinical-guideline-based management recommendations for patients with multimorbidity: GoCom and its preliminary evaluation13
Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability13
Automatic phenotyping of electronical health record: PheVis algorithm13
A multi-task Gaussian process self-attention neural network for real-time prediction of the need for mechanical ventilators in COVID-19 patients12
Multi-level semantic fusion network for Chinese medical named entity recognition12
Diagnosis of COVID-19 via acoustic analysis and artificial intelligence by monitoring breath sounds on smartphones12
Multi-task learning models for predicting active compounds12
A systematic review of computational approaches to understand cancer biology for informed drug repurposing12
Profile-based assessment of diseases affective factors using fuzzy association rule mining approach: A case study in heart diseases12
Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care12
A hierarchical clustering and data fusion approach for disease subtype discovery12
Development of a FHIR RDF data transformation and validation framework and its evaluation12
A scalable random walk with restart on heterogeneous networks with Apache Spark for ranking disease-related genes through type-II fuzzy data fusion12
PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data12
Predict or draw blood: An integrated method to reduce lab tests12
Genomic considerations for FHIR®; eMERGE implementation lessons11
A scheme for inferring viral-host associations based on codon usage patterns identifies the most affected signaling pathways during COVID-1911
ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes11
Prediction of the use of mobile device interfaces in the progressive aging process with the model of Fitts’ law11
How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare11
An interpretable machine learning approach to multimodal stress detection in a simulated office environment11
Outcomes prediction in longitudinal data: Study designs evaluation, use case in ICU acquired sepsis11
Adjusting for indirectly measured confounding using large-scale propensity score11
Machine learning-based demand forecasting in cancer palliative care home hospitalization11
Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort11
Mental health ubiquitous monitoring supported by social situation awareness: A systematic review11
Predicting physician burnout using clinical activity logs: Model performance and lessons learned11
Non-negative matrix factorization temporal topic models and clinical text data identify COVID-19 pandemic effects on primary healthcare and community health in Toronto, Canada11
An attentive joint model with transformer-based weighted graph convolutional network for extracting adverse drug event relation11
Medical concept normalization in French using multilingual terminologies and contextual embeddings11
Supporting rural public health practice to address local-level social determinants of health across Northwest states: Development of an interactive visualization dashboard11
Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan11
Creating and implementing a COVID-19 recruitment Data Mart11
Integrated network analysis of symptom clusters across disease conditions11
GLA-Net: A global-local attention network for automatic cataract classification11
Making science computable: Developing code systems for statistics, study design, and risk of bias11
NLM-Gene, a richly annotated gold standard dataset for gene entities that addresses ambiguity and multi-species gene recognition10
Deep learning for rare disease: A scoping review10
“Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks10
SurvMaximin: Robust federated approach to transporting survival risk prediction models10
Identification of pediatric respiratory diseases using a fine-grained diagnosis system10
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset10
Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study10
MRC4BioER: Joint extraction of biomedical entities and relations in the machine reading comprehension framework10
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis10
Insufficient sampling frequencies skew heart rate variability estimates: Implications for extracting heart rate metrics from neuroimaging and physiological data10
A strategy for validation of variables derived from large-scale electronic health record data10
Modified Needleman–Wunsch algorithm for clinical pathway clustering10
Safety-driven design of machine learning for sepsis treatment10
Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential10
SPST-CNN: Spatial pyramid based searching and tagging of liver’s intraoperative live views via CNN for minimal invasive surgery10
Distant supervision for medical concept normalization10
Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes10
Enhancing narrative clinical guidance with computer-readable artifacts: Authoring FHIR implementation guides based on WHO recommendations10
Searching for scientific evidence in a pandemic: An overview of TREC-COVID10
Learning Bayesian networks from demographic and health survey data10
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers10
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data10
Analysis of security and privacy challenges for DNA-genomics applications and databases10
Few-shot learning for medical text: A review of advances, trends, and opportunities10
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets10
Targeted estimation of heterogeneous treatment effect in observational survival analysis10
A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels10
Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration10
Convolutional neural network in proteomics and metabolomics for determination of comorbidity between cancer and schizophrenia10
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