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MORE ABOUT THIS BOOK
Main description:
1) Discusses technical details of the Machine Learning tools and techniques in the different types of cancers
2) Machine learning and data mining in healthcare is a very important topic and hence there would be a demand for such a book
3) As compared to other titles, the proposed book focuses on different types of cancer disease and their prediction strategy using machine leaning and data mining.
Contents:
1. Investigation of IOMT based Cancer Detection and Prediction. 2. Histopathological Cancer Detection using CNN. 3. Role of Histone Methyltransferase In Breast Cancer. 4. Breast Cancer Detection Using Machine Learning and Its Classification. 5. Diagnosis & Prediction of Type- 2 Chronic Kidney Disease Using Machine Learning Approaches. 6. Behavioural Prediction of Cancer using Machine Learning. 7. Prediction of cervical cancer using machine learningAshish Kumar. 8. Applications of Machine Learning in Cancer prediction and Prognosis. 9. Significant advancements in cancer diagnosis using machine learning. 10. Human papillomavirus and cervical cancer. 11. Case Studies/ Success Stories on Machine Learning and Data Mining for Cancer Prediction
PRODUCT DETAILS
Publisher: Taylor & Francis
Publication date: December, 2021
Pages: 216
Weight: 548g
Availability: Available
Subcategories: General Practice, Oncology