Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 361 von 400
Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia
Algor-ethics: charting the ethical path for AI in critical care
On the Estimation of Treatment Effect with Text Covariates
Validating the accuracy of administrative healthcare data identifying epilepsy in deceased adults: A Scottish data linkage study
Hypergraph Contrastive Learning for Electronic Health Records
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging
Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China
Computer Audition for Fighting the SARS-CoV-2 Corona Crisis—Introducing the Multitask Speech Corpus for COVID-19
Development and Implementation of an Electronic Decision Support to Manage the Health of a High-Risk Population: The enhanced Electronic Medical Record Aging Brain Care Software (eMR-ABC)
FCE: Feedback Based Counterfactual Explanations for Explainable AI
Determining Multiple Sclerosis Phenotype from Electronic Medical Records
Decision Support for Medication Change of Parkinson's Disease Patients
ClinicalVis: Supporting Clinical Task-Focused Design Evaluation
An Intelligent Clinical Decision Support System Based on Artificial Neural Network for Early Diagnosis of Cardiovascular Diseases in Rural Areas
EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes
ChatGPT for Research and Publication: A Step-by-Step Guide
An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis
Multi-domain prognostic models used in middle-aged adults without known cognitive impairment for predicting subsequent dementia
The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review
Improving cardiovascular risk prediction through machine learning modelling of irregularly repeated electronic health records
Evolution of Artificial Intelligence-Powered Technologies in Biomedical Research and Healthcare
Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing
GRU Based Deep Learning Model for Prognosis Prediction of Disease Progression