Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics

ISBN-13: 9780367638399 / Angielski / Miękka / 2022 / 313 str.

Wu, Hulin

Opis

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data.

Spis treści

1. Introduction: Use of EHR Data for Research—Challenges and Opportunities. 2. EHR Project Management. 3. EHR Databases: Data Queries and Extraction. 4. EHR Data Cleaning. 5. EHR Data Pre-Processing and Preparation. 6. EHR Missing Data Issues. 7. Causal Inference and Analysis for EHR Data. 8. EHR Data Exploration, Analysis and Predictions: Statistical Models and Methods. 9. EHR Data Analytics and Predictions: Neural Network and Deep Learning Methods. 10. EHR Data Analytics and Predictions: Other Machine Learning Methods. 11. Use of EHR Data for Research: Future.