Smart healthcare systems
Material type:
TextPublication details: Boca Raton CRC Press 2020 Description: xiii, 233 pISBN: 9780367030568Subject(s): Medical informatics | Artificial intelligence--Medical applicationsDDC classification: 610.285 Summary: About the Book:
The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing.
Salient Features of the Book:
Exhaustive coverage of Data Analysis using R
Real-life healthcare models for:
Visually Impaired
Disease Diagnosis and Treatment options
Applications of Big Data and Deep Learning in Healthcare
Drug Discovery
Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications
Compare and analyze recent healthcare technologies and trends
Target Audience:
This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.
(https://www.routledge.com/Smart-Healthcare-Systems/Sinha-Rathi/p/book/9780367030568#)
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
|
Indian Institute of Management LRC General Stacks | Public Policy & General Management | 610.285 SIN (Browse shelf(Opens below)) | 1 | Available | 005300 |
Table of contents:
1. Big Data Analysis in Healthcare
2. Smart EHR for Healthcare
3. Lifestyle Application for Visually Impaired
4. Classification of Genetic Mutation
5. MHealth: Community-based Android Application for Medical Services
6. Nanoemulsions: Status in Antimicrobial Therapy
7. Analysis of Air Quality and Impacts on Human Health
8. Brain Tumor Detection and Classification in MRI: Technique for Smart Healthcare Adaptation
9. Deep Strategies in Computer Assisted Diagnosis and Classification of Abnormalities in Medical Images
10. Major Histocompatibility Complex Binding and various health parameters analysis
11. Partial Digest Problem
12. Deep Learning for Next Generation Healthcare: A Survey of State-of-the-art and Research Prospects
13. Applications of Protein Nanoparticles as Drug Delivery Vehicle
14. Exploring Food Domain using Deep Neural Networks
About the Book:
The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing.
Salient Features of the Book:
Exhaustive coverage of Data Analysis using R
Real-life healthcare models for:
Visually Impaired
Disease Diagnosis and Treatment options
Applications of Big Data and Deep Learning in Healthcare
Drug Discovery
Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications
Compare and analyze recent healthcare technologies and trends
Target Audience:
This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.
(https://www.routledge.com/Smart-Healthcare-Systems/Sinha-Rathi/p/book/9780367030568#)
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