Alle Papers – Machine Learning im Gesundheitswesen

Associating Semantic Space Abnormalities With Formal Thought Disorder in Schizophrenia: Use of Triadic Comparisons

Use of data mining techniques to classify length of stay of emergency department patients

A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care data

Data Mining Approach to Identify Disease Cohorts from Primary Care Electronic Medical Records: A Case of Diabetes Mellitus

COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework

MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes

Predicting Inpatient Medication Orders From Electronic Health Record Data

Predicting Type 2 Diabetes Using Logistic Regression

Methodologies for the Collection and Analysis of Mortality Data.

Deep Learning Algorithm to Predict Need for Critical Care in Pediatric Emergency Departments

Temporal tree representation for similarity computation between medical patients

The ecological footprint of medical AI

The smart detection of neuro-pathological effects of alzheimer patients using neural networks

A latent class model for obesity

Performance of different Machine Learning Techniques for the Prediction of Heart Diseases

Machine Learning and Interpretation in Neuroimaging

An AI-Empowered Home-Infrastructure to Minimize Medication Errors

Ethical layering in AI-driven polygenic risk scores—New complexities, new challenges

Utility and Comparative Performance of Current Artificial Intelligence Large Language Models as Postoperative Medical Support Chatbots in Aesthetic Surgery

Separate may not be equal: A preliminary investigation of clinical correlates of electronic psychiatric record accessibility in academic medical centers

Multi-slice representational learning of convolutional neural network for Alzheimer’s disease classification using positron emission tomography

Performance of a new symptom checker in patient triage: Canadian cohort study

Investigating the Impact of Prompt Engineering on the Performance of Large Language Models for Standardizing Obstetric Diagnosis Text: Comparative Study

Decoding Clinical Biomarker Space of COVID-19: Exploring Matrix Factorization-based Feature Selection Methods

Machine Learning-based Prediction of ICU Patient Mortality at Time of Admission