Deep Learning in Healthcare Applications
- Authors: Hanifa Teimourian1, Kamil Dimililer2
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View Affiliations Hide Affiliations1 Department of Electrical & Electronic Engineering, Near East University, Nicosia / TRNC, Mersin 10, Turkey 2 Department of Electrical & Electronic Engineering, Near East University, Nicosia / TRNC, Mersin 10, Turkey
- Source: Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare , pp 82-97
- Publication Date: November 2021
- Language: English
Deep Learning in Healthcare Applications, Page 1 of 1
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The state of individual physical well-being, which is considered as health, can be affected by the physical environment, as well as the factors going on within an individual. Poor health requires continuous monitoring for the individuals, and the process needs monitoring in hospitals or individualsÂ’ homes. Furthermore, the recorded health data should be analyzed by specialists to be prepared for further processing, such as artificial intelligence (AI), using the latest environment of technology. Many healthcare applications considering AI have been studied, especially in cancer diagnosis and treatment, in recent years. Deep learning, expressed as the future of healthcare, is driven by increased computational power and huge datasets. In this chapter, an introduction to machine learning (ML), AI, and deep learning in healthcare will be studied.
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