Code: 41477465
Statistics and Machine Learning Methods for EHR Data
by Hulin Wu, Jose Miguel Yamal, Ashraf Yaseen
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 ... more
- Language:
English - Binding: Paperback
- Number of pages: 313
Publisher: Taylor & Francis Ltd, 2022
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Book synopsis
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.
Book details
70.02 €
- Full title: Statistics and Machine Learning Methods for EHR Data
- Subtitle: From Data Extraction to Data Analytics
- Author: Hulin Wu, Jose Miguel Yamal, Ashraf Yaseen
- Language: English
- Binding: Paperback
- Number of pages: 313
- EAN: 9780367638399
- ID: 41477465
- Publisher: Taylor & Francis Ltd
- Weight: 502 g
- Dimensions: 155 × 234 × 25 mm
- Date of publishing: 01. August 2022
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