Alle Papers – Machine Learning im Gesundheitswesen

Data analytics for the sustainable use of resources in hospitals: Predicting the length of stay for patients with chronic diseases

Hierarchical Interactions Model for Predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) Conversion

Using Machine Learning Models to Predict the Length of Stay in a Hospital Setting

Smart Recommendation Services in Support of Patient Empowerment and Personalized Medicine

A deep learning technique for imputing missing healthcare data

Establishment of ICU Mortality Risk Prediction Models with Machine Learning Algorithm Using MIMIC-IV Database

Exploring the Need for Explainable Artificial Intelligence (XAI) in Intelligent Tutoring Systems (ITS).

Prediction of Stroke Using Deep Learning Model

PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis

Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans

Association between multiple sclerosis and epilepsy: large population-based record-linkage studies

Modeling Electronic Discharge Summaries as a Simple Temporal Constraint Satisfaction Problem

Combinatorial K-Means Clustering as a Machine Learning Tool Applied to Diabetes Mellitus Type 2

Hierarchical label-wise attention transformer model for explainable ICD coding

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation

Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

A survey of automated International Classification of Diseases coding: development, challenges, and applications

An ETL-process design for data harmonization to participate in international research with German real-world data based on FHIR and OMOP CDM

Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation

Big data analysis techniques to address polypharmacy in patients – a scoping review

Detection of infectious symptoms from VA emergency department and primary care clinical documentation

Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach

Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals

Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection

A review of evaluation approaches for explainable AI with applications in cardiology