Alle Papers – Machine Learning im Gesundheitswesen

Chronic Kidney Disease Prediction using Machine Learning Ensemble Algorithm

Applying the Temporal Abstraction Technique to the Prediction of Chronic Kidney Disease Progression

Causal Inference From Observational Data: New Guidance From Pulmonary, Critical Care, and Sleep Journals

Interactive Machine Learning (iML)

Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficient

Conditional Generative Moment-Matching Networks

Boosting the Accuracy of Cardiovascular Disease Prediction Through SMOTE

Deep Learning

Improving Drug Review Categorization Using Sentiment Analysis and Machine Learning

"The survival kit": a fortran package for the analysis of survival data

Advancing Critical Care in the ICU: A Human-Centered Biomedical Data Visualization Systems

XAI-Augmented Voting Ensemble Models for Heart Disease Prediction: A SHAP and LIME-Based Approach

Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets

Transforming Estonian health data to the Observational Medical Outcomes Partnership (OMOP) Common Data Model: lessons learned

Unsupervised Learning in Precision Medicine: Unlocking Personalized Healthcare through AI

An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction

Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation

Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

A high throughput semantic concept frequency based approach for patient identification: a case study using type 2 diabetes mellitus clinical notes.

Physician Use of Electronic Health Records: Survey Study Assessing Factors Associated With Provider Reported Satisfaction and Perceived Patient Impact

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional Study

Linguistic summarization of in-home sensor data

Comparison of hospital charge prediction models for gastric cancer patients: neural network vs. decision tree models

Machine learning algorithms for early diagnosis of diabetes mellitus: A comparative study