Tell your friends about this item:
Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Price
HK$ 1,891
excl. VAT
Ordered from remote warehouse
Expected to be ready for shipping Jul 20 - 30
Our customers say:
Add to your iMusic wish list
Also available as:
Advances of Machine Learning for Knowledge Mining in Electronic Health Records
The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR, consisting of demographics, medical history, and diagnosis.
304 pages, 37 Tables, black and white; 121 Line drawings, black and white; 8 Halftones, black and wh
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | March 6, 2025 |
| ISBN13 | 9781032526102 |
| Publishers | Taylor & Francis Ltd |
| Pages | 270 |
| Dimensions | 150 × 220 × 20 mm · 690 g |
| Language | English |
| Editor | Fathimal, P. Mohamed (Government Polytechnic College, India) |
| Editor | Kumar, T. Ganesh (Galgotias Uni.) |
| Editor | Lakshmi, Venkataraman |
| Editor | Loret, J. B. Shajilin (FX Engineering College, India) |
| Editor | T. I., Manish (SCMS School and Engg and Tech, India) |
