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 2020-05-01 to 2024-05-01.)
ArticleCitations
The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies271
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues141
A hybrid sampling algorithm combining M-SMOTE and ENN based on Random forest for medical imbalanced data134
Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread126
Chinese clinical named entity recognition with variant neural structures based on BERT methods105
Process mining for healthcare: Characteristics and challenges105
Social media based surveillance systems for healthcare using machine learning: A systematic review103
Comparative study of machine learning methods for COVID-19 transmission forecasting103
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models100
Deep ensemble learning for Alzheimer's disease classification99
Drug repurposing for COVID-19 via knowledge graph completion99
AMMU: A survey of transformer-based biomedical pretrained language models92
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review89
Clinical concept extraction: A methodology review86
Comparing deep learning architectures for sentiment analysis on drug reviews84
FAIR data sharing: The roles of common data elements and harmonization66
An empirical characterization of fair machine learning for clinical risk prediction65
Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach64
Detection and classification of breast cancer using logistic regression feature selection and GMDH classifier63
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine56
Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019)56
Deep learning with wearable based heart rate variability for prediction of mental and general health55
Random forest swarm optimization-based for heart diseases diagnosis55
Biomedical named entity recognition using BERT in the machine reading comprehension framework54
Detection of calibration drift in clinical prediction models to inform model updating54
Residual LSTM layered CNN for classification of gastrointestinal tract diseases53
A tongue features fusion approach to predicting prediabetes and diabetes with machine learning53
Application of AR and VR in hand rehabilitation: A systematic review52
Development and validation of early warning score system: A systematic literature review51
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
Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition48
Language models are an effective representation learning technique for electronic health record data46
Explainable classifier for improving the accountability in decision-making for colorectal cancer diagnosis from histopathological images44
Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing44
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies43
Topological data analysis in biomedicine: A review42
Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India39
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions38
A random forest method with feature selection for developing medical prediction models with clustered and longitudinal data37
Classification of breast cancer using microarray gene expression data: A survey37
Agents and robots for collaborating and supporting physicians in healthcare scenarios37
Alzheimer’s Disease stage identification using deep learning models37
A framework for patient-centered telemedicine: Application and lessons learned from vulnerable populations35
Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction34
GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification34
Extracting drug-drug interactions from texts with BioBERT and multiple entity-aware attentions33
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization33
A survey on single and multi omics data mining methods in cancer data classification33
Weight optimized neural network for heart disease prediction using hybrid lion plus particle swarm algorithm32
Potential circRNA-disease association prediction using DeepWalk and network consistency projection32
PASCLex: A comprehensive post-acute sequelae of COVID-19 (PASC) symptom lexicon derived from electronic health record clinical notes32
Dementia medical screening using mobile applications: A systematic review with a new mapping model31
Mind the clinical-analytic gap: Electronic health records and COVID-19 pandemic response30
INSMA: An integrated system for multimodal data acquisition and analysis in the intensive care unit30
An attention-based multi-task model for named entity recognition and intent analysis of Chinese online medical questions30
Using the contextual language model BERT for multi-criteria classification of scientific articles30
A novel fitness function in genetic programming for medical data classification29
KG-Predict: A knowledge graph computational framework for drug repurposing29
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation28
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
Can technological advancements help to alleviate COVID-19 pandemic? a review27
Evaluating pointwise reliability of machine learning prediction27
Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling27
Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods26
Character level and word level embedding with bidirectional LSTM – Dynamic recurrent neural network for biomedical named entity recognition from literature26
Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis26
REDCap on FHIR: Clinical Data Interoperability Services25
Drug-drug interaction extraction via hybrid neural networks on biomedical literature25
Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit25
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks24
Extraction of temporal relations from clinical free text: A systematic review of current approaches24
Standardized electronic health record data modeling and persistence: A comparative review24
Process mining in healthcare – An updated perspective on the state of the art23
Data mining and machine learning in cancer survival research: An overview and future recommendations23
Membership inference attacks against synthetic health data23
Evaluating the alert appropriateness of clinical decision support systems in supporting clinical workflow23
Harmonized representation learning on dynamic EHR graphs23
IoT-based GPS assisted surveillance system with inter-WBAN geographic routing for pandemic situations23
Towards Chinese clinical named entity recognition by dynamic embedding using domain-specific knowledge23
FeARH: Federated machine learning with anonymous random hybridization on electronic medical records23
Summarization of biomedical articles using domain-specific word embeddings and graph ranking22
An hybrid ECG-based deep network for the early identification of high-risk to major cardiovascular events for hypertension patients22
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
Learning Drug-Disease-Target Embedding (DDTE) from knowledge graphs to inform drug repurposing hypotheses22
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types22
Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach22
Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey22
Laparoscopy with augmented reality adaptations22
Data protection-compliant broad consent for secondary use of health care data and human biosamples for (bio)medical research: Towards a new German national standard22
A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data22
Matching patients to clinical trials using semantically enriched document representation21
Obtaining EHR-derived datasets for COVID-19 research within a short time: a flexible methodology based on Detailed Clinical Models21
Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction21
A compartment modeling approach to reconstruct and analyze gender and age-grouped CoViD-19 Italian data for decision-making strategies21
Adverse drug reaction detection on social media with deep linguistic features21
Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines21
Multi-view self-attention for interpretable drug–target interaction prediction20
A probabilistic model for co-occurrence analysis in bibliometrics20
Technology acceptance and critical mass: Development of a consolidated model to explain the actual use of mobile health care communication tools20
A virtual reality methodology for cardiopulmonary resuscitation training with and without a physical mannequin19
Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning19
Exploring HCV genome to construct multi-epitope based subunit vaccine to battle HCV infection: Immunoinformatics based approach19
Exploiting adversarial transfer learning for adverse drug reaction detection from texts19
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
Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data19
Internet of Things in active cancer Treatment: A systematic review19
“Hey assistant, how can I become a donor?” The case of a conversational agent designed to engage people in blood donation19
Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism19
Extracting clinical terms from radiology reports with deep learning19
Maximizing the use of social and behavioural information from secondary care mental health electronic health records18
Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes18
Smart conversational agents for the detection of neuropsychiatric disorders: A systematic review18
Augmented reality in robotic assisted orthopaedic surgery: A pilot study18
Mining for equitable health: Assessing the impact of missing data in electronic health records18
On the efficacy of behavior change techniques in mHealth for self-management of diabetes: A meta-analysis18
A corpus-driven standardization framework for encoding clinical problems with HL7 FHIR17
A knowledge graph embedding based approach to predict the adverse drug reactions using a deep neural network17
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ17
Monitoring behavioral symptoms of dementia using activity trackers17
Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation17
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
Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations17
Dimensions of ecological validity for usability evaluations in clinical settings17
A novel deep interval type-2 fuzzy LSTM (DIT2FLSTM) model applied to COVID-19 pandemic time-series prediction17
A contextual multi-task neural approach to medication and adverse events identification from clinical text16
Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks16
A knowledge base of clinical trial eligibility criteria16
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network16
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
Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learning16
Endpoint prediction of heart failure using electronic health records16
A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes16
Adaptive feature squeeze network for nuclear cataract classification in AS-OCT image16
Adaptation of an NLP system to a new healthcare environment to identify social determinants of health16
Generative adversarial networks for biomedical time series forecasting and imputation15
A systematic review of computational approaches to understand cancer biology for informed drug repurposing15
Real-time data analysis in health monitoring systems: A comprehensive systematic literature review15
Predictive modeling of bacterial infections and antibiotic therapy needs in critically ill adults15
A scalable approach for developing clinical risk prediction applications in different hospitals15
Supporting topic modeling and trends analysis in biomedical literature15
Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data15
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
Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media15
KeMRE: Knowledge-enhanced medical relation extraction for Chinese medicine instructions15
Adversarial active learning for the identification of medical concepts and annotation inconsistency15
Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation15
Multi-level semantic fusion network for Chinese medical named entity recognition15
Converting clinical document architecture documents to the common data model for incorporating health information exchange data in observational health studies: CDA to CDM15
Fuzzy monitoring of in-bed postural changes for the prevention of pressure ulcers using inertial sensors attached to clothing14
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients14
Towards unstructured mortality prediction with free-text clinical notes14
Multi-modal interactive fusion method for detecting teenagers’ psychological stress14
A deep learning–based, unsupervised method to impute missing values in electronic health records for improved patient management14
Predicting Alzheimer’s Disease from Spoken and Written Language Using Fusion-Based Stacked Generalization14
idse-HE: Hybrid embedding graph neural network for drug side effects prediction14
COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps14
Formative feedback generation in a VR-based dental surgical skill training simulator14
Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability14
Automatic detection of COVID-19 vaccine misinformation with graph link prediction14
Predicting neonatal respiratory distress syndrome and hypoglycaemia prior to discharge: Leveraging health administrative data and machine learning14
Time-range based sequential mining for survival prediction in prostate cancer14
A visual framework to create photorealistic retinal vessels for diagnosis purposes14
Multi-channel fusion LSTM for medical event prediction using EHRs14
A prediction and interpretation framework of acute kidney injury in critical care14
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 cl14
CASIDE: A data model for interoperable cancer survivorship information based on FHIR14
Early diagnosis of Parkinson's disease using Continuous Convolution Network: Handwriting recognition based on off-line hand drawing without template14
An efficient model selection for linear discriminant function-based recursive feature elimination14
Visual storytelling enhances knowledge dissemination in biomedical science13
A multi-task Gaussian process self-attention neural network for real-time prediction of the need for mechanical ventilators in COVID-19 patients13
Towards a goal-oriented methodology for clinical-guideline-based management recommendations for patients with multimorbidity: GoCom and its preliminary evaluation13
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets13
Machine learning-based demand forecasting in cancer palliative care home hospitalization13
A hierarchical clustering and data fusion approach for disease subtype discovery13
MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record13
Making science computable: Developing code systems for statistics, study design, and risk of bias13
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer13
Supporting rural public health practice to address local-level social determinants of health across Northwest states: Development of an interactive visualization dashboard13
Pupillary light reflex as a diagnostic aid from computational viewpoint: A systematic literature review13
Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review13
Domain specific word embeddings for natural language processing in radiology13
Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care13
Automatic phenotyping of electronical health record: PheVis algorithm13
Long-term prediction for temporal propagation of seasonal influenza using Transformer-based model13
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports13
How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare12
Non-negative matrix factorization temporal topic models and clinical text data identify COVID-19 pandemic effects on primary healthcare and community health in Toronto, Canada12
A scalable random walk with restart on heterogeneous networks with Apache Spark for ranking disease-related genes through type-II fuzzy data fusion12
Adjusting for indirectly measured confounding using large-scale propensity score12
“Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks12
Diagnosis of COVID-19 via acoustic analysis and artificial intelligence by monitoring breath sounds on smartphones12
Development of a FHIR RDF data transformation and validation framework and its evaluation12
A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels12
Predicting physician burnout using clinical activity logs: Model performance and lessons learned12
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers12
SPST-CNN: Spatial pyramid based searching and tagging of liver’s intraoperative live views via CNN for minimal invasive surgery12
Multi-task learning models for predicting active compounds12
Profile-based assessment of diseases affective factors using fuzzy association rule mining approach: A case study in heart diseases12
GLA-Net: A global-local attention network for automatic cataract classification12
PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data12
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data12
Few-shot learning for medical text: A review of advances, trends, and opportunities12
Searching for scientific evidence in a pandemic: An overview of TREC-COVID11
Convolutional neural network in proteomics and metabolomics for determination of comorbidity between cancer and schizophrenia11
Learning Bayesian networks from demographic and health survey data11
Medical concept normalization in French using multilingual terminologies and contextual embeddings11
Analysis of security and privacy challenges for DNA-genomics applications and databases11
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks11
Creating and implementing a COVID-19 recruitment Data Mart11
Integrated network analysis of symptom clusters across disease conditions11
An attentive joint model with transformer-based weighted graph convolutional network for extracting adverse drug event relation11
Machine learning based on eye-tracking data to identify Autism Spectrum Disorder: A systematic review and meta-analysis11
NLM-Gene, a richly annotated gold standard dataset for gene entities that addresses ambiguity and multi-species gene recognition11
A scheme for inferring viral-host associations based on codon usage patterns identifies the most affected signaling pathways during COVID-1911
Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan11
Mental health ubiquitous monitoring supported by social situation awareness: A systematic review11
An interpretable machine learning approach to multimodal stress detection in a simulated office environment11
Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study11
Outcomes prediction in longitudinal data: Study designs evaluation, use case in ICU acquired sepsis11
Genomic considerations for FHIR®; eMERGE implementation lessons11
Deep learning for rare disease: A scoping review11
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
Prediction of the use of mobile device interfaces in the progressive aging process with the model of Fitts’ law11
Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes11
Insufficient sampling frequencies skew heart rate variability estimates: Implications for extracting heart rate metrics from neuroimaging and physiological data10
Modified Needleman–Wunsch algorithm for clinical pathway clustering10
Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy10
SurvMaximin: Robust federated approach to transporting survival risk prediction models10
Targeted estimation of heterogeneous treatment effect in observational survival analysis10
Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature10
Neural negated entity recognition in Spanish electronic health records10
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care10
Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence10
Distant supervision for medical concept normalization10
Identification of pediatric respiratory diseases using a fine-grained diagnosis system10
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets10
Enhancing narrative clinical guidance with computer-readable artifacts: Authoring FHIR implementation guides based on WHO recommendations10
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis10
A strategy for validation of variables derived from large-scale electronic health record data10
Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization10
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset10
Safety-driven design of machine learning for sepsis treatment10
Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential10
0.14204216003418