Cancer prediction for industrial IoT 4.0 : a machine learning perspective /: a machine learning perspective. (2021)
- Record Type:
- Book
- Title:
- Cancer prediction for industrial IoT 4.0 : a machine learning perspective /: a machine learning perspective. (2021)
- Main Title:
- Cancer prediction for industrial IoT 4.0 : a machine learning perspective
- Further Information:
- Note: Edited by Meenu Gupta, Rachna Jain, Arun Solanki, Fadi Al-Turjman.
- Editors:
- Gupta, Meenu
Jain, Rachna D
Solanki, Arun, 1985-
Al-Turjman, Fadi - Contents:
- 1. Investigation of IOMT based Cancer Detection and Prediction Meet Shah, Harsh Patel, Jai Prakash Verma, Rachna Jain 2. Histopathological Cancer Detection using CNN Soham Taneja, Rishika Garg, Preeti Nagrath, Bhawna Gupta 3. Role of Histone Methyltransferase In Breast Cancer Surekha Manhas and Zaved Ahmed Khan 4. Breast Cancer Detection Using Machine Learning and Its Classification Ashish Kumar, Ruchir Ahluwalia 5. Diagnosis & Prediction of Type- 2 Chronic Kidney Disease Using Machine Learning Approaches Ritu Aggarwal, Prateek Thakral 6. Behavioural Prediction of Cancer using Machine Learning Ashish Kumar, Rishit Jain 7. Prediction of cervical cancer using machine learning Ashish Kumar, Revant Singh Rai, Mehdi Gheisari 8. Applications of Machine Learning in Cancer prediction and Prognosis Geetika Sharma, Dr. Chander Prabha 9. Significant advancements in cancer diagnosis using machine learning Gurmanik Kaur, Ajat Shatru Arora 10. Human papillomavirus and cervical cancer Surekha Manhas and Zaved Ahmed Khan, Shakeel Ahmed 11. Case Studies/ Success Stories on Machine Learning and Data Mining for Cancer Prediction Dr. Chander Prabha, Geetika Sharma
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2021
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 616.99400285
Cancer -- Research -- Technological innovations
Machine learning - Languages:
- English
- ISBNs:
- 9781000508666
9781000508581
9781003185604 - Related ISBNs:
- 9781032028781
- Notes:
- 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).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.657825
- Ingest File:
- 07_032.xml