Alle Papers – Machine Learning im Gesundheitswesen

Large Language Models in Mental Health Care: A Systematic Scoping Review (Preprint)

Predicting Depression among Patients with Diabetes Using Longitudinal Data

Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data

Clinical Sepsis Phenotypes in Critically Ill Patients

Implementing Machine Learning in the Electronic Health Record: Checklist of Essential Considerations

Application of autonomous neural network systems to medical pattern classification tasks

Artificial Intelligence (AI) in medicine as a strategic valuable tool

Using ChatGPT to predict the future of personalized medicine

Medical analytics for healthcare intelligence – Recent advances and future directions

Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms

Machine learning for the prediction of severe pneumonia during posttransplant hospitalization in recipients of a deceased-donor kidney transplant

Research on Medical Problems Based on Mathematical Models

Introduction to ChatGPT

Informative presence and observation in routine health data: A review of methodology for clinical risk prediction

Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping

An objective metric for Explainable AI: How and why to estimate the degree of explainability

Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood Pressure

Detection of medical text semantic similarity based on convolutional neural network

MLBCD: a machine learning tool for big clinical data

Predicting Unplanned Readmissions Following a Hip or Knee Arthroplasty: Retrospective Observational Study

Modified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation

Integrating Structured and Unstructured EHR Data for Predicting Mortality by Machine Learning and Latent Dirichlet Allocation Method

Epilepsy in the elderly: prognosis

Analyzing evaluation methods for large language models in the medical field: a scoping review

Machine Learning for the Prediction of Red Blood Cell Transfusion in Patients During or After Liver Transplantation Surgery