Alle Papers – Machine Learning im Gesundheitswesen

Machine learning application for the prediction of SARS-CoV-2 infection using blood tests and chest radiograph

Artificial Intelligence: From Buzzword to Useful Tool in Clinical Pharmacology

Deep Learning versus Conventional Machine Learning for Detection of Healthcare-Associated Infections in French Clinical Narratives

Can machine learning improve patient selection for cardiac resynchronization therapy?

The Significance of Machine Learning in Clinical Disease Diagnosis: A Review

EHR Big Data Deep Phenotyping

Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs

Analysis and Detection of Diabetes Using Data Mining Techniques—A Big Data Application in Health Care

AI in Actuarial Science

When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior

A phenotyping algorithm to identify acute ischemic stroke accurately from a national biobank: the Million Veteran Program

Decentralised, collaborative, and privacy-preserving machine learning for multi-hospital data

Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Support Vector Machines for Survival Analysis with R

Evaluating ChatGPT-4’s Accuracy in Identifying Final Diagnoses Within Differential Diagnoses Compared With Those of Physicians: Experimental Study for Diagnostic Cases

Personalization and Patient Involvement in Decision Support Systems: Current Trends

Construction of MRI-Based Alzheimer’s Disease Score Based on Efficient 3D Convolutional Neural Network: Comprehensive Validation on 7,902 Images from a Multi-Center Dataset

Personalized Cardiovascular Disease Risk Prediction Using Random Forest: An Optimized Approach

Adversarially regularized medication recommendation model with multi-hop memory network

Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research

Deep learning–based prediction model of occurrences of major adverse cardiac events during 1-year follow-up after hospital discharge in patients with AMI using knowledge mining

Predicting non-attendance in hospital outpatient appointments using deep learning approach

KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction

Dementia risk predictions from German claims data using methods of machine learning

Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections