Alle Papers – Machine Learning im Gesundheitswesen

HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection

Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection

Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study

Mental disorders and medical comorbidities: Association rule mining approach

Dementia Detection and Classification from MRI Images Using Deep Neural Networks and Transfer Learning

A Survey on the Applications of Fuzzy Logic in Medical Diagnosis

Data Science for Extubation Prediction and Value of Information in Surgical Intensive Care Unit

CCMapper: An adaptive NLP-based free-text chief complaint mapping algorithm

Mathematical Models in Medical Diagnosis.

KMR: knowledge-oriented medicine representation learning for drug–drug interaction and similarity computation

Clinical decision‐making in benzodiazepine deprescribing by healthcare providers <i>vs</i>. AI‐assisted approach

Evaluation of stacked ensemble model performance to predict clinical outcomes: A COVID-19 study

Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR Networks

ChatGPT: A Valuable Tool for Emergency Medical Assistance

A primer on the use of machine learning to distil knowledge from data in biological psychiatry

Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study

Multimodal deep learning for dementia classification using text and audio

Assertion Detection in Clinical Notes: Medical Language Models to the Rescue?

A deep learning model for mass screening of <scp>COVID</scp>‐19

Development and validation of deep learning and BERT models for classification of lung cancer radiology reports

Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review

Artificial Intelligence and Data Mining Methods for Cardiovascular Risk Prediction

Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods

Sixty seconds on . . . ChatGPT

Learning clinical networks from medical records based on information estimates in mixed-type data