Titlebook: Artificial Intelligence and Machine Learning in Healthcare; Ankur Saxena,Shivani Chandra Book 2021 The Editor(s) (if applicable) and The A

疾驰

e-Society and the Social Divide will help the readers to understand that this emerging information technology is becoming society’s most progressive tool and further may effectively use the information for their research endeavours.

Defense

Content, Communication and Tools, that can be applied for patient stratification based on probable disease risk, prognosis, and/or response to treatment. The advanced computational expertise using artificial intelligence for biological data analysis is also being used to speed up the drug discovery process of precision medicine. I

Prognosis

Smart Labels, Smart Tags and RFIDld domain can be costly for any organization, and it is also inappropriate to throw away the newly obtained data just because it is from another domain..In this chapter, we retrained various state-of-the-arts convolutional deep learning models using transfer learning by supplying the data related to

DEBT

condescend

Customer Relationship Management these techniques in modeling the progression of the tumor along with its effective treatment. Although the different ML algorithms have provided an improved understanding of the tumor condition, a proper validation is required for their applications in everyday clinical practices. Keeping in mind t

Obscure

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Artificial Intelligence and Machine Learning in Healthcare

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Artificial Intelligence and Machine Learning in Healthcare978-981-16-0811-7