Data science for effective healthcare systems. (2022)
- Record Type:
- Book
- Title:
- Data science for effective healthcare systems. (2022)
- Main Title:
- Data science for effective healthcare systems
- Further Information:
- Note: Edited by Hari Singh, Ravindara Bhatt, Prateek Thakral, Dinesh Chander Verma.
- Editors:
- Singh, Hari, 1957-
Bhatt, Ravindara
Thakral, Prateek
Verma, Dinesh C - Contents:
- Contents Preface............................................................................................................................................. vii Editors...............................................................................................................................................ix 1. Big Data in Healthcare: Applications and Challenges ....................................................1 Monika, Pradeep Kumar, and Sanjay Tyagi 2. Impact Analysis of COVID-19 on Different Countries: A Big Data Approach ........ 15 Reema Lalit and Nitin Sharma 3. Overview of Image Processing Technology in Healthcare Systems ...........................25 Ankit Singh and Sivanesan Dhandayuthapani 4. Artificial Intelligence to Fight against COVID-19 Coronavirus in Bharat ................ 37 Pushpendra Kumar Verma and Preety 5. Classification-Based Prediction Techniques Using ML: A Perspective for Health Care .............................................................................................................................43 Meenakshi Malik, Aditi Kaushik, and Rekha Khatana 6. Deep Learning for Drug Discovery: Challenges and Opportunities ......................... 57 Aarti 7. Issues and Challenges Associated with Machine Learning Tools for Health Care System ............................................................................................................................ 69 Parul Chhabra and Pradeep Kumar Bhatia 8. Real-Time Data Analysis ofContents Preface............................................................................................................................................. vii Editors...............................................................................................................................................ix 1. Big Data in Healthcare: Applications and Challenges ....................................................1 Monika, Pradeep Kumar, and Sanjay Tyagi 2. Impact Analysis of COVID-19 on Different Countries: A Big Data Approach ........ 15 Reema Lalit and Nitin Sharma 3. Overview of Image Processing Technology in Healthcare Systems ...........................25 Ankit Singh and Sivanesan Dhandayuthapani 4. Artificial Intelligence to Fight against COVID-19 Coronavirus in Bharat ................ 37 Pushpendra Kumar Verma and Preety 5. Classification-Based Prediction Techniques Using ML: A Perspective for Health Care .............................................................................................................................43 Meenakshi Malik, Aditi Kaushik, and Rekha Khatana 6. Deep Learning for Drug Discovery: Challenges and Opportunities ......................... 57 Aarti 7. Issues and Challenges Associated with Machine Learning Tools for Health Care System ............................................................................................................................ 69 Parul Chhabra and Pradeep Kumar Bhatia 8. Real-Time Data Analysis of COVID-19 Vaccination Progress Over the World .......79 Bijan Paul, Aditi Roy, Khan Raqib Mahmud, and Mohammad Rifat Rashid 9. Descriptive, Predictive, and Prescriptive Analytics in Healthcare .............................89 Kalimullah Lone and Shabir Ahmad Sofi 10. IOT Enabled Worker Health, Safety Monitoring and Visual Data Analytics ........ 105 Selvaraj Kesavan, Subhash Almel, and B.S. Muralidhar 11. Prevalence of Nomophobia and Its Association with Text Neck Syndrome and Insomnia in Young Adults during COVID-19 ...................................................... 117 Richa Hirendra Rai, Vishal Mehta, Pallavi, and Sachindra Pratap Singh 12. The Role of AI, Fuzzy Logic System in Computational Biology and Bioinformatics ...................................................................................................................... 133 A.H.M. Shahariar Parvez, Sadiq Iqbal, Subrato Bharati, Prajoy Podder, Pinto Kumar Paul, and Aditya Khamparia 13. Analysis for Early Prediction of Diabetes in Healthcare Using Classification Techniques ............................................................................................................................ 149 Navneet Verma, Sukhdip Singh, and Devendra Prasad 14. Nomenclature of Machine Learning Algorithms and Their Applications ............. 161 Ritu Aggarwal and Suneet Kumar 15. Breast Cancer Prognosis Using Machine Learning Approaches ............................... 169 Nadeem Yousuf Khanday and Shabir Ahmad Sofi 16. Machine Learning-Based Active Contour Approach for the Recognition of Brain Tumor Progression ................................................................................................... 183 Amit Chopra, Dinesh C. Verma, and Rajneesh Gujral 17. A Deep Neural Networks-Based Cost-Effective Framework for Diabetic Retinopathy Detection ....................................................................................................... 199 Pawan Kumar Upadhyay, Siddharth Batra, and Sunny Dhama Index .............................................................................................................................................. 213 … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2022
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 610.285
Medicine -- Data processing
Medical informatics
Medicine -- Information technology - Languages:
- English
- ISBNs:
- 9781000618853
9781000618839
9781003215981 - Related ISBNs:
- 9781032105680
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.701855
- Ingest File:
- 13_019.xml