Alle Papers – Machine Learning im Gesundheitswesen
106.245 Papers insgesamt · Seite 6 von 400
On evaluation metrics for medical applications of artificial intelligence
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
Next-generation phenotyping of electronic health records
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
A large language model for electronic health records
An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
Machine Learning for Precision Psychiatry: Opportunities and Challenges
SVM-RFE: selection and visualization of the most relevant features through non-linear kernels
Supervised Machine Learning: A Brief Primer
Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints
An Introduction to Machine Learning
The ‘Digital Twin’ to enable the vision of precision cardiology
Automatic Linkage of Vital Records
Electronic Health Records: Then, Now, and in the Future
2020 International Joint Conference on Neural Networks (IJCNN)
Artificial Intelligence in Medical Practice: The Question to the Answer?
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines
XGBoost Model for Chronic Kidney Disease Diagnosis
Addressing bias in big data and AI for health care: A call for open science
A computerized psychiatric diagnostic system and case nomenclature for elderly subjects: GMS and AGECAT
The ethics of artificial intelligence
The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies
Sample size for binary logistic prediction models: Beyond events per variable criteria
Improved Recurrent Neural Networks for Session-based Recommendations