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The Role of Artificial Intelligence, Machine Learning and Deep Learning in the Diagnosis, Prognosis and Treatment of Cancers Primarily Associated with Women by Ankur Saxena; Mohit Saxena; Dhaval Kumar Srivastava; Aditya Vikram Singh; Kaamya Sharma is a book available to read on EtoBox.

What is The Role of Artificial Intelligence, Machine Learning and Deep Learning in the Diagnosis, Prognosis and Treatment of Cancers Primarily Associated with Women about?

Cancer not only has a low median survival rate, but also has a quite lengthy and extortionate diagnosis and treatment procedure because of its high rate of recurrence and rate of mortality. The need for precise and timely diagnostic and prognostic predictions of the ailment for boosting the survival rates of the patient has led to the evolution of statistical and computational methods over the years, which in turn has invigorated the scientists and researchers to seek methods such as artificial intelligence (AI), principally machine learning (ML) and deep learning (DL) in the areas of clinical research of various cancers, further boosting the prediction performances in case of women-associated cancers. AI has bestowed considerably to resolve a variety of biomedical issues, including cancer, over the past decade. AI incorporates the ability of independent learning along with strong logical reasoning; therefore, its technologies like ML can intensely reform the present methods of anticancer drug formation. In this chapter, we will be discussing The role of AI, ML and DL in the diagnosis, prognosis and treatment of women associated cancers.

Author

Ankur Saxena; Mohit Saxena; Dhaval Kumar Srivastava; Aditya Vikram Singh; Kaamya Sharma

Publisher

De Gruyter

Published

2022

Language

EN