Survey of the use of AI models and techniques in the analysis and prediction of neuro-degenerative diseases

Srikanth Prabhu, Suryaansh Rathinam, Chirag Rao, Anurag Chowdhury

Research output: Contribution to journalConference articlepeer-review

Abstract

Neurodegenerative diseases are caused by the gradual breakdown of the nerve connections. The detection and prediction of these diseases has been attempted with a variety of different artificial intelligence techniques, using the wide range of modalities available resulting in variations in accuracy and other metrics. This paper aims to offer a methodical as well as quantitative comparison among the various predictive methodologies that have been conducted for three neurodegenerative diseases, namely Alzheimer's, Schizophrenia and Dementia. Lastly this paper focuses on the variation in occurrences of these diseases with changing demographics such as age, sex and location.

Original languageEnglish
Article number012022
JournalJournal of Physics: Conference Series
Volume2571
Issue number1
DOIs
Publication statusPublished - 2023
Event2nd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2023 - Manipal, India
Duration: 16-02-202317-02-2023

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy

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