Statistics and machine learning methods for EHR data: from data extraction to data analytics
by Maroufy, Vahed Wu, Hulin Yamal, Jose-Miguel Yaseen, Ashraf
"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"
Read More ↓Title Statements
- Full title :Statistics and machine learning methods for EHR data : from data extraction to data analytics / edited by Hulin Wu, Jose-Miguel Yamal, Ashraf Yaseen, and Vahed Maroufy.
Summary
"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"
Read More ↓Edition Statements
- Publication Date:2021
- Edition:First edition
Publication Statements
- Publisher(s):CRC Press, Taylor & Francis Group
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:2021
Notes
Enthält Literaturangaben und Index.
The Physical Object
- Description:xiv, 313 Seiten : Illustrationen, Diagramme
Edition Identifiers
- ISBN:9780367442392, 0367442396, 9780367638399, 0367638398
- oclc:on1347438476
- LC Classification:R864
- Dewey Decimal:610.285
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