Artificial Intelligence Approaches to Detect Neurodegenerative Disease From Medical Records: A Perspective

Artificial Intelligence Approaches to Detect Neurodegenerative Disease From Medical Records: A Perspective

Abhranil Gupta
ISBN13: 9781799827429|ISBN10: 1799827429|EISBN13: 9781799827436
DOI: 10.4018/978-1-7998-2742-9.ch013
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MLA

Gupta, Abhranil. "Artificial Intelligence Approaches to Detect Neurodegenerative Disease From Medical Records: A Perspective." Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning, edited by Geeta Rani and Pradeep Kumar Tiwari, IGI Global, 2021, pp. 254-267. https://doi.org/10.4018/978-1-7998-2742-9.ch013

APA

Gupta, A. (2021). Artificial Intelligence Approaches to Detect Neurodegenerative Disease From Medical Records: A Perspective. In G. Rani & P. Tiwari (Eds.), Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning (pp. 254-267). IGI Global. https://doi.org/10.4018/978-1-7998-2742-9.ch013

Chicago

Gupta, Abhranil. "Artificial Intelligence Approaches to Detect Neurodegenerative Disease From Medical Records: A Perspective." In Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning, edited by Geeta Rani and Pradeep Kumar Tiwari, 254-267. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-2742-9.ch013

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Abstract

This chapter gives a brief overview of the state of the art of machine learning approaches in detection of the neurodegenerative disease from medical records (brain scans, etc.). It starts with an understanding of the sub-field of artificial intelligence, machine learning, then goes to understand neurodegenerative disease, with a focus on four major diseases and then goes on to giving an overview of how such diseases are detected using machine learning. In the end, it discusses the future areas of research that needs to be done in order to improve the field of research.

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