Alle Papers – Machine Learning im Gesundheitswesen

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes

Cloud-based intelligent self-diagnosis and department recommendation service using Chinese medical BERT

Deep Learning in Image Classification: A Survey Report

A history of outcome prediction in the ICU

Predicting the disease outcome in COVID-19 positive patients through Machine Learning: a retrospective cohort study with Brazilian data

Latent information in fluency lists predicts functional decline in persons at risk for Alzheimer disease

How Machine Learning is Powering Neuroimaging to Improve Brain Health

Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019

A clinically-translatable machine learning algorithm for the prediction of Alzheimer’s disease conversion: further evidence of its accuracy via a transfer learning approach

Accuracy of claims‐based algorithms for epilepsy research: Revealing the unseen performance of claims‐based studies

Fuzzy medical diagnosis

Exploration and exploitation of clinical databases

A natural language processing approach for identifying temporal disease onset information from mental healthcare text

Diabetes diagnosis from administrative claims and estimation of the true prevalence of diabetes among 4.2 million individuals of the Veneto region (North East Italy)

Leveraging Digital Data to Inform and Improve Quality Cancer Care

Influence of multimorbidity on cognition in a normal aging population: a 12‐year follow‐up in the Maastricht Aging Study

Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study

Automated model versus treating physician for predicting survival time of patients with metastatic cancer

Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care

PredicT-ML: a tool for automating machine learning model building with big clinical data

A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support

Mortality Predicted Accuracy for Hepatocellular Carcinoma Patients with Hepatic Resection Using Artificial Neural Network

Temporal similarity measures for querying clinical workflows

Big Data Analytical Approaches to the NACC Dataset

A Survey of Big Data Issues in Electronic Health Record Analysis