Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 323 von 400
CPLLM: Clinical prediction with large language models
Towards augmenting structured EHR data: a comparison of manual chart review and patient self-report.
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models
Validation of <scp>HIV</scp>‐infected cohort identification using automated clinical data in the Department of Veterans Affairs
Herzblockstudien
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
Meta-Analysis Framework for Exact Inferences with Application to the Analysis of Rare Events
User‐Centered Evaluation of Explainable Artificial Intelligence (XAI): A Systematic Literature Review
Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning
Dual Attention and Patient Similarity Network for drug recommendation
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care
An iterative procedure for extracting skill maps from data
Stacking ensemble approach to diagnosing the disease of diabetes
Extraction of Information Related to Drug Safety Surveillance From Electronic Health Record Notes: Joint Modeling of Entities and Relations Using Knowledge-Aware Neural Attentive Models
Selecting Learning Algorithms for Simultaneous Identification of Depression and Comorbid Disorders
<b>DoubleML</b>: An Object-Oriented Implementation of Double Machine Learning in <i>R</i>
Rates of delirium associated with calcium channel blockers compared to diuretics, renin-angiotensin system agents and beta-blockers: An electronic health records network study
Medication and indication linkage: A practical therapy for the problem list?
Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction
Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study
Codifying healthcare – big data and the issue of misclassification
Explainable Boosting Machine for Predicting Alzheimer’s Disease from MRI Hippocampal Subfields
Predicting Glycemia in Type 1 Diabetes Patients: Experiments with XG-Boost.
Randomized Controlled Trials in Medical AI A Methodological Critique
Automatic depression severity assessment with deep learning using parameter-efficient tuning