Alle Papers – Machine Learning im Gesundheitswesen

Prediction models in obstetrics: understanding the treatment paradox and potential solutions to the threat it poses

Machine learning applied to electronic health record data in home healthcare: A scoping review

KnowledgeNet: A Benchmark Dataset for Knowledge Base Population

Predicting the Appearance of Hypotension during Hemodialysis Sessions Using Machine Learning Classifiers

Automated Medical Diagnosis of Alzheimer´s Disease Using an Efficient Net Convolutional Neural Network

Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework

Efficacy of Artificial-Intelligence-Driven Differential-Diagnosis List on the Diagnostic Accuracy of Physicians: An Open-Label Randomized Controlled Study

Electronic health record analysis identifies kidney disease as the leading risk factor for hospitalization in confirmed COVID-19 patients

New Horizons: The Potential Role of OpenAI’s ChatGPT in Clinical Radiology

Evaluation and mitigation of cognitive biases in medical language models

Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study

Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI

Neural networks for longitudinal studies in Alzheimer’s disease

A Mathematical Approach to Interpretation and Selection of Diagnostic Tests

Natural language processing in psychiatry: the promises and perils of a transformative approach

Allocating treatment options to patient profiles: clinical art or science?

Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge

Regular expression-based learning to extract bodyweight values from clinical notes

Knowledge Graphs and Explainable AI in Healthcare

Clinical Research Informatics for Big Data and Precision Medicine

Graph-Representation of Patient Data: a Systematic Literature Review

Performance Comparison of Classification Algorithms on Medical Datasets

A Primer on the Present State and Future Prospects for Machine Learning and Artificial Intelligence Applications in Cardiology

PanelomiX: A threshold-based algorithm to create panels of biomarkers

Variable-Domain Functional Regression for Modeling ICU Data