Alle Papers – Machine Learning im Gesundheitswesen

Recipe Recommendation: Accuracy and Reasoning

Intelligent medical record?Entry (IMR-E)

Analysis of Supervised Machine Learning Algorithms for Heart Disease Prediction with Reduced Number of Attributes using Principal Component Analysis

Missing care: A framework to address the issue of frequent missing values;The case of a clinical decision support system for Parkinson's disease

Large language models are less effective at clinical prediction tasks than locally trained machine learning models

Artificial Intelligence Meets Chinese Medicine

Applications of prediction models

Synergizing Fusion Modeling for Accurate Cardiac Prediction Through Explainable Artificial Intelligence

Multimorbidity Patterns and Memory Trajectories in Older Adults: Evidence From the English Longitudinal Study of Aging

Characteristics of Mild Cognitive Impairment Using the Thai Version of the Consortium to Establish a Registry for Alzheimer’s Disease Tests: A Multivariate and Machine Learning Study

Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit

An Integrated Business Intelligence Framework for Healthcare Analytics

Importance of sample size on the quality and utility of AI-based prediction models for healthcare

Incorporating AI Tools into Medical Education: Harnessing the Benefits of ChatGPT and Dall-E

Bootstrapping a de-identification system for narrative patient records: Cost-performance tradeoffs

Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions

Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions

An Effective Patient Representation Learning for Time-series Prediction Tasks Based on EHRs

Estimating disease prevalence from drug utilization data using the Random Forest algorithm

Specific-Input LIME Explanations for Tabular Data Based on Deep Learning Models

Analysis and Prediction of Unplanned Intensive Care Unit Readmission using Recurrent Neural Networks with Long Short-Term Memory

Coronary Heart Disease Prediction: A Comparative Study of Machine Learning Algorithms

Intelligent data analysis for medical diagnosisc using machine learning and temporal abstraction

Computation of the distribution of model accuracy statistics in machine learning: Comparison between analytically derived distributions and simulation‐based methods