Soft Computing Techniques for Type-2 Diabetes Data Classification - Info and Reading Options
By Ramalingaswamy Cheruku, Damodar Reddy Edla and Venkatanareshbabu Kuppili
"Soft Computing Techniques for Type-2 Diabetes Data Classification" was published by Taylor & Francis Group in 2020 - Milton, it has 168 pages and the language of the book is English.
“Soft Computing Techniques for Type-2 Diabetes Data Classification” Metadata:
- Title: ➤ Soft Computing Techniques for Type-2 Diabetes Data Classification
- Authors: Ramalingaswamy CherukuDamodar Reddy EdlaVenkatanareshbabu Kuppili
- Language: English
- Number of Pages: 168
- Publisher: Taylor & Francis Group
- Publish Date: 2020
- Publish Location: Milton
“Soft Computing Techniques for Type-2 Diabetes Data Classification” Subjects and Themes:
- Subjects: ➤ Medical informatics - Diabetes - Data processing - Medicine - Medical Informatics Applications - Medical Informatics - Médecine - Informatique - COMPUTERS - Computer Science - Bioinformatics - Information Technology
Edition Identifiers:
- The Open Library ID: OL28070902M - OL20750770W
- Online Computer Library Center (OCLC) ID: 1182800042
- ISBN-13: 9780367236540 - 9781000048186
- All ISBNs: 9780367236540 - 9781000048186
AI-generated Review of “Soft Computing Techniques for Type-2 Diabetes Data Classification”:
"Soft Computing Techniques for Type-2 Diabetes Data Classification" Description:
Open Data:
This book serves as a reference book for scientific investigators who need to analyze disease data and/or numerical data, as well as researchers developing methodology in soft computing field. It may also be used as a textbook for a graduate and post graduate level course in machine learning or soft computing
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