Alle Papers – Machine Learning im Gesundheitswesen

RETRACTED ARTICLE: Diagnosis of cardiovascular disease using deep learning technique

Evaluation of factors that influenced the length of hospital stay using data mining techniques

Automated ICD coding via unsupervised knowledge integration (UNITE)

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

Efficient privacy-preserving online medical primary diagnosis scheme on naive bayesian classification

A Machine Learning-Based Approach for Predicting Patient Punctuality in Ambulatory Care Centers

Intervening on the storage time of RBC units and its effects on adverse recipient outcomes using real-world data

Machine learning outperforms traditional logistic regression and offers new possibilities for cardiovascular risk prediction: A study involving 143,043 Chinese patients with hypertension

ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans

Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform

Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers

Multimodal Fusion of Brain Imaging Data: Methods and Applications

Reporting accuracy of rare event classifiers

Comparison of Different Machine Learning Models for diabetes detection

BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs

Advanced Techniques for Predicting the Future Progression of Type 2 Diabetes

Respiratory Isolation of Tuberculosis Patients Using Clinical Guidelines and an Automated Clinical Decision Support System

The Use of Synthetic Electronic Health Record Data and Deep Learning to Improve Timing of High-Risk Heart Failure Surgical Intervention by Predicting Proximity to Catastrophic Decompensation

Non-linear relationships in clinical research

A study of EMR-based medical knowledge network and its applications

Desiderata for the development of next-generation electronic health record phenotype libraries

Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning

NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data

Gogadget: An R Package for Interpretation and Visualization of GO Enrichment Results

A Mathematical Approach to Medical Diagnosis: Application to Congenital Heart Disease