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The Orphanet Nomenclature of rare diseases: a standard terminology for improved patient recognition and data interoperability
The Orphanet Nomenclature of rare diseases: a standard terminology for improved patient recognition and data interoperability
medRxiv - The Preprint Server for Health Sciences
Heterogenous Effect of Automated Alerts on Mortality
Heterogenous Effect of Automated Alerts on Mortality
medRxiv - The Preprint Server for Health Sciences
Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes
Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes
medRxiv - The Preprint Server for Health Sciences
SuReCAN: a suite of user-friendly Galaxy machine learning workflows to predict survival and treatment response of cancer patients
SuReCAN: a suite of user-friendly Galaxy machine learning workflows to predict survival and treatment response of cancer patients
medRxiv - The Preprint Server for Health Sciences
Multi-organ AI Endophenotypes Chart the Heterogeneity of Pan-disease in the Brain, Eye, and Heart
Multi-organ AI Endophenotypes Chart the Heterogeneity of Pan-disease in the Brain, Eye, and Heart
medRxiv - The Preprint Server for Health Sciences
Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data
Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data
medRxiv - The Preprint Server for Health Sciences
PABformer: A Multi-Channel Transformer for Physical Activity Behavior Representation and Health Outcome Assessment Using UK Biobank Accelerometer Data
PABformer: A Multi-Channel Transformer for Physical Activity Behavior Representation and Health Outcome Assessment Using UK Biobank Accelerometer Data
medRxiv - The Preprint Server for Health Sciences
AI vs Human Performance in Conversational Hospital-Based Neurological Diagnosis
AI vs Human Performance in Conversational Hospital-Based Neurological Diagnosis
medRxiv - The Preprint Server for Health Sciences
Integrating Machine Learning Pipelines for Multimodal Biomarker Prediction in Alzheimer and Parkinson Disease: A Component of the Neurodiagnoses Framework
Integrating Machine Learning Pipelines for Multimodal Biomarker Prediction in Alzheimer and Parkinson Disease: A Component of the Neurodiagnoses Framework
medRxiv - The Preprint Server for Health Sciences
A LLM-based Multi-Agent Collaborative Approach for Screening Prioritization towards Automated Systematic Reviews
A LLM-based Multi-Agent Collaborative Approach for Screening Prioritization towards Automated Systematic Reviews
medRxiv - The Preprint Server for Health Sciences
Identification of Blood miRNA Biomarkers in Systemic Tuberculosis through Metadata Analysis
Identification of Blood miRNA Biomarkers in Systemic Tuberculosis through Metadata Analysis
medRxiv - The Preprint Server for Health Sciences
Physician- versus Large Language Model-Generated Summaries in the Emergency Department
Physician- versus Large Language Model-Generated Summaries in the Emergency Department
medRxiv - The Preprint Server for Health Sciences
Speaker Role Identification in Clinical Conversations
Speaker Role Identification in Clinical Conversations
medRxiv - The Preprint Server for Health Sciences
Automated Evaluation of Large Language Model Response Concordance with Human Specialist Responses on Physician-to-Physician eConsult Cases
Automated Evaluation of Large Language Model Response Concordance with Human Specialist Responses on Physician-to-Physician eConsult Cases
medRxiv - The Preprint Server for Health Sciences
The Feasibility of Smartwatch Micro Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the SEACO Child Health Update 2020: a Cross-Sectional Study
The Feasibility of Smartwatch Micro Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the SEACO Child Health Update 2020: a Cross-Sectional Study
medRxiv - The Preprint Server for Health Sciences
Comparative evaluation of imputation and batch-effect correction for proteomics/peptidomics differential-expression analysis
Comparative evaluation of imputation and batch-effect correction for proteomics/peptidomics differential-expression analysis
medRxiv - The Preprint Server for Health Sciences
Daily Stress and Heart Rate Variability Among Mindfulness Meditation Practitioners: An mHealth Observational Study
Daily Stress and Heart Rate Variability Among Mindfulness Meditation Practitioners: An mHealth Observational Study
medRxiv - The Preprint Server for Health Sciences
Evaluation of Gender Bias in the Evaluation of Synthetic Cardiovascular Disease Cases with Open Source LLMs
Evaluation of Gender Bias in the Evaluation of Synthetic Cardiovascular Disease Cases with Open Source LLMs
medRxiv - The Preprint Server for Health Sciences
Physician Evaluations of Large Language Model-Generated Responses to Medical Questions by Region and Years in Practice: A preliminary study
Physician Evaluations of Large Language Model-Generated Responses to Medical Questions by Region and Years in Practice: A preliminary study
medRxiv - The Preprint Server for Health Sciences
Leveraging patients’ longitudinal data to improve the Hospital One-year Mortality Risk
Leveraging patients’ longitudinal data to improve the Hospital One-year Mortality Risk
Predicting medium-term survival after admission is necessary for identifying end-of-life patients who may benefit from goa...
iAMP-CRA: Identifying Antimicrobial Peptides Using Convolutional Recurrent Neural Network with Self-Attention
iAMP-CRA: Identifying Antimicrobial Peptides Using Convolutional Recurrent Neural Network with Self-Attention
Antimicrobial peptides (AMPs) are natural polypeptides with antibacterial activity and are an important part of the innate...
Towards cognition–emotion–behaviour models of nonsuicidal self-injury: a knowledge graph approach
Towards cognition–emotion–behaviour models of nonsuicidal self-injury: a knowledge graph approach
Non-suicidal self-injury (NSSI) refers to intentionally harming one’s own body tissue without intending to die or ca...
Hyperbolic vision language representation learning on chest radiology images
Hyperbolic vision language representation learning on chest radiology images
Given the visual-semantic hierarchy between images and texts, hyperbolic embeddings have been employed for visual-semantic...
CSL-CTEA: a systematic method for evaluating novel intelligent cognitive assessment tools
CSL-CTEA: a systematic method for evaluating novel intelligent cognitive assessment tools
With the intensification of global population aging, the incidence of cognitive disorders such as dementia continues to ri...
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery
Epigenetic protein (EP) plays a crucial role in influencing disease development, controlling gene expression, and shaping ...
Optimized seizure detection leveraging band-specific insights from limited EEG channels
Optimized seizure detection leveraging band-specific insights from limited EEG channels
Effective seizure detection systems are crucial for health information systems and managing epilepsy, yet traditional mult...
GEP-DNN4Mol: automatic chemical molecular design based on deep neural networks and gene expression programming
GEP-DNN4Mol: automatic chemical molecular design based on deep neural networks and gene expression programming
The inverse design of molecules has attracted widespread attention in the field of chemical molecular design. However, exi...
Spatial and frequency domain-based feature fusion for accurate detection of schizophrenia using AI-driven approaches
Spatial and frequency domain-based feature fusion for accurate detection of schizophrenia using AI-driven approaches
Schizophrenia is a neuropsychiatric disorder that hampers brain functions and causes hallucinations, delusions, and bizarr...
Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data
Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data
This study investigates the adaptation of DeepInsight for cancer subtype classification using high-dimensional gene expres...
A novel clustered-based binary grey wolf optimizer to solve the feature selection problem for uncovering the genetic links between non-Hodgkin lymphomas and rheumatologic diseases
A novel clustered-based binary grey wolf optimizer to solve the feature selection problem for uncovering the genetic links between non-Hodgkin lymphomas and rheumatologic diseases
The growing incidence of Non-Hodgkin lymphomas (NHL) in recent times has brought attention to the need for thorough invest...
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