Alle Papers – Machine Learning im Gesundheitswesen

Skeleton-Based Abnormal Behavior Detection Using Secure Partitioned Convolutional Neural Network Model

STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability

Combining hidden Markov models and latent semantic analysis for topic segmentation and labeling: Method and clinical application

Automatic Detection of Psychological Distress Indicators and Severity Assessment from Online Forum Posts

Machine-learning models for prediction of sepsis patients mortality

Practical problems in the use of computers in medical diagnosis

OCT-GAN: Neural ODE-based Conditional Tabular GANs

Systematic Review of Large Language Models for Patient Care: Current Applications and Challenges

Red teaming ChatGPT in medicine to yield real-world insights on model behavior

How Accurate Are Patients at Diagnosing the Cause of Their Knee Pain With the Help of a Web-based Symptom Checker?

Using Conversation Topics for Predicting Therapy Outcomes in Schizophrenia

Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks

Using large language model to guide patients to create efficient and comprehensive clinical care message

Predicting Patient Wait Times by Using Highly Deidentified Data in Mental Health Care: Enhanced Machine Learning Approach

An incremental EM-based learning approach for on-line prediction of hospital resource utilization

Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction

COVerAGE-DB: A database of age-structured COVID-19 cases and deaths

Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study

A Reliable and Accessible Caregiving Language Model (CaLM) to Support Tools for Caregivers: Development and Evaluation Study

Prompt engineering for digital mental health: a short review

Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets

A novel electronic health record-based, machine-learning model to predict severe hypoglycemia leading to hospitalizations in older adults with diabetes: A territory-wide cohort and modeling study

Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network

A practical guide to the implementation of artificial intelligence in orthopaedic research—Part 2: A technical introduction

Machine Learning Models of Postoperative Atrial Fibrillation Prediction After Cardiac Surgery