Alle Papers – Machine Learning im Gesundheitswesen

Toward Transparent Load Disaggregation—A Framework for Quantitative Evaluation of Explainability Using Explainable AI

Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data

Machine learning–based 30-day readmission prediction models for patients with heart failure: a systematic review

Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations

Performance of large language models (LLMs) in providing prostate cancer information

Learning to detect and understand drug discontinuation events from clinical narratives

Clustering clinical models from local electronic health records based on semantic similarity

Discovery and integration of univariate patterns from daily individual organ-failure scores for intensive care mortality prediction

Detecting borderline infection in an automated monitoring system for healthcare-associated infection using fuzzy logic

AdaptKT: A Domain Adaptable Method for Knowledge Tracing

HyperImpute: Generalized Iterative Imputation with Automatic Model Selection

An Intelligible Risk Stratification Model Based on Pairwise and Size Constrained Kmeans

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data

Clustering and prediction of disease progression trajectories in Huntington's disease: An analysis of Enroll-HD data using a machine learning approach

Estimating Morbidity Ratesfrom Electronic Medical Records in General Practice

Modeling in Biomedical Informatics – An Exploratory Analysis (Part 1)

Human-centered visualization technologies for patient monitoring are the future: a narrative review

A novel application of SMART on FHIR architecture for interoperable and scalable integration of patient-reported outcome data with electronic health records

Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People With Depression

Automatic Short Answer Grading in the LLM Era: Does GPT-4 with Prompt Engineering beat Traditional Models?

Predicting Diagnostic Progression to Schizophrenia or Bipolar Disorder via Machine Learning

Using a Neural Network to Screen a Population for Asthma

Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records

A Novel Approach for Classifying Diabetes’ Patients Based on Imputation and Machine Learning

A K-Means Approach to Clustering Disease Progressions