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Designing Personalised mHealth solutions: An overview
Designing Personalised mHealth solutions: An overview
In recent years, mobile health (mHealth) has become increasingly popular for delivering healthcare services to individuals...
A self-supervised language model selection strategy for biomedical question answering
A self-supervised language model selection strategy for biomedical question answering
Large Pre-trained Language Models (PLM) have significantly influenced the performance of many Information Retrieval (IR) a...
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature
Biomedical literature is a rich source of biomedical knowledge that is constantly expanding. Identification of relevant ar...
MKCL: Medical Knowledge with Contrastive Learning model for radiology report generation
MKCL: Medical Knowledge with Contrastive Learning model for radiology report generation
Medical imaging techniques are extensively applied for clinical diagnosis and treatment [1]. Radiologists describe medical...
Continuous time recurrent neural networks: overview and benchmarking at forecasting blood glucose in the intensive care unit
Continuous time recurrent neural networks: overview and benchmarking at forecasting blood glucose in the intensive care unit
ObjectiveBlood glucose measurements in the intensive care unit (ICU) are typically made at irregular intervals. This prese...
A Hybrid neural network based model for blood donation forecasting
A Hybrid neural network based model for blood donation forecasting
Blood transfusion is an indispensable life-saving mechanism in hospitals and has been proven to be the gold standard in th...
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets
Biomedical literature is the primary knowledge source of novel biomedical research results. The literature contains rigoro...
FedScore: A Privacy-Preserving Framework for Federated Scoring System Development
FedScore: A Privacy-Preserving Framework for Federated Scoring System Development
Cross-institutional collaboration has gained popularity in recent years as a way to accelerate medical research and facili...
Mining electronic health records using artificial intelligence: bibliometric and content analyses for current research status and product conversion
Mining electronic health records using artificial intelligence: bibliometric and content analyses for current research status and product conversion
Medical errors are staggering, and one of the main reasons is that doctors lack complete and accurate medical information ...
A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds
A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds
Evidence adoption is a persistent challenge in health care, particularly in the complex intensive care unit (ICU) environm...
Graph Fusion prediction of autism based on attentional mechanisms
Graph Fusion prediction of autism based on attentional mechanisms
As a quantitative tool for risk and benefit assessment, clinical predictive models enable more intuitive and rational info...
A scoping review on multimodal deep learning in biomedical images and texts
A scoping review on multimodal deep learning in biomedical images and texts
Multimodal deep learning (MDL), which involves the integration of multiple modalities, such as medical images, unstructure...
StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients
StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients
ObjectiveInvestigate the preliminary efficacy and feasibility of a personalized mobile health (mHealth) intervention based...
Annotated dataset creation through large language models for non-english medical NLP
Annotated dataset creation through large language models for non-english medical NLP
Obtaining text datasets with semantic annotations is an effortful process, yet crucial for supervised training in natural ...
An omics data analysis method based on feature linear relationship and graph convolutional network
An omics data analysis method based on feature linear relationship and graph convolutional network
With the advancement in high-throughput technologies and the reduction in analysis cost, a massive amount of omics data re...
Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data
Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data
Practicing medicine requires continual and accurate prediction: clinicians undertake interventions they predict will help ...
Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes
Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes
The usage of real-world data, such as electronic health records (EHRs) and administrative claims databases, provides incre...
Diagnostic rate estimation from Medicare records: Dependence on claim numbers and latent clinical features
Diagnostic rate estimation from Medicare records: Dependence on claim numbers and latent clinical features
ObjectiveInternational Classification of Disorders version 10 (ICD-10) codes contribute heavily to healthcare data. Medica...
Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals
Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals
Currently, according to the World Health Organization (WHO) [1], cardiovascular disease (CVD) remains the largest cause of...
Biomedical document relation extraction with prompt learning and KNN
Biomedical document relation extraction with prompt learning and KNN
Relation extraction (RE) seeks to recognize the relations between entities in a particular text from a predefined set of i...
Exploring the potential impact of multi-factor precision interventions in Alzheimer’s disease with system dynamics
Exploring the potential impact of multi-factor precision interventions in Alzheimer’s disease with system dynamics
Volume 145, September 2023, 104462Author links open overlay panel, , , , , AbstractNumerous clinical trials based on a sin...
Associating biological context with protein-protein interactions through text mining at PubMed scale
Associating biological context with protein-protein interactions through text mining at PubMed scale
Knowledge graphs (KGs) are expressive data models detailing entities (nodes) and their inter-relationships (edges). Pharma...
SPBERE: Boosting span-based pipeline biomedical entity and relation extraction via entity information
SPBERE: Boosting span-based pipeline biomedical entity and relation extraction via entity information
Triplet extraction is one of the fundamental tasks in biomedical text mining. Compared with traditional pipeline approache...
GENA: A knowledge graph for nutrition and mental health
GENA: A knowledge graph for nutrition and mental health
While a large number of knowledge graphs have previously been developed by automatically extracting and structuring knowle...
Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities
Objective:With the increasing amount and growing variety of healthcare data, multimodal machine learning supporting integr...
A Few-shot learning approach for Monkeypox recognition from a cross-domain perspective
On 23 July 2022, the World Health Organization declared the 2022 human monkeypox epidemic constitutes a “public health eme...
Few-shot learning for medical text: A review of advances, trends, and opportunities
KeywordsFew-shot learningNatural language processingMachine learningBiomedical informaticsData availabilityAll the researc...
An open source corpus and automatic tool for section identification in Spanish health records
Electronic Clinical Narratives (ECN) such as Electronic Health Records (EHR), Electronic Discharge Summaries (EDS), or Pro...
Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach
Available online 2 August 2023, 104465Author links open overlay panel, , , , , , , , , , , , , AbstractBackgroundAdverse o...
Graph embedding-based link prediction for literature-based discovery in Alzheimer’s Disease
Alzheimer’s disease (AD) is the most common form of dementia [1]. Symptoms include difficulty in remembering recent events...
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