Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 338 von 400
Evaluating the Performance of Automated Machine Learning (AutoML) Tools for Heart Disease Diagnosis and Prediction
Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards
Predictive structured–unstructured interactions in EHR models: A case study of suicide prediction
Artificial Intelligence and Digital Tools
A strategy for validation of variables derived from large-scale electronic health record data
Comorbidity risk and distribution characteristics of chronic diseases in the elderly population in China
SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields
Predicting Long-Term Mortality in Patients With Acute Heart Failure by Using Machine Learning
Metric rule generation with septic shock patient data
CASIDE: A data model for interoperable cancer survivorship information based on FHIR
The basics of data, big data, and machine learning in clinical practice
Electronic health record problem lists: accurate enough for risk adjustment?
An automated data verification approach for improving data quality in a clinical registry
Developing an electronic health record (EHR) for methadone treatment recording and decision support
Enhancing medical named entity recognition with an extended segment representation technique
Techniques of Machine Learning for the Purpose of Predicting Diabetes Risk in PIMA Indians
An Interpretable Disease Onset Predictive Model Using Crossover Attention Mechanism From Electronic Health Records
J 5 — A Data Processing System for Medical Information
The Virtues of Interpretable Medical AI
Survival prediction and treatment recommendation with Bayesian techniques in lung cancer.
Reconstruction error based deep neural networks for coronary heart disease risk prediction
Machine learning algorithms for diabetes detection: a comparative evaluation of performance of algorithms
Deep Reinforcement Learning Based Personalized Health Recommendations
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology
Neural sentence embedding models for semantic similarity estimation in the biomedical domain