Paper Title
AI Tools for Prediction and Analysis of Neurological disorders using ECG data.
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Registration ID: IJNRD_187444
Published ID: IJNRD2304647
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Keywords
POTS -Postural tachycardia syndrome
Abstract
Neurological disorders pose a large burden on worldwide health as it is growing exponentially in low and middle income countries. Despite the significant impact of neurological disorders on patients and societies, knowledge of their epidemiology including variation in disease frequency across place and time and understanding of associated risk factors and outcomes, remains limited. Patients with neurological disorders often require significant social and economic support because of physical, cognitive, and psychosocial limitations due to which it makes it necessary for the early prediction and diagnosis of the neurological disorders. Our project is aimed to aid in predicting the diagnosis of neurological disorders like POTS, Syncope, Migraine, Epilepsy, Parkinson’s disease, or Alzheimer’s disease. We will be experimenting with artificial intelligence techniques using ECG data pertaining to patients with neurological orders and normative control data as well using the self-built AI tools, thus moving towards a classification model. The classification model will classify the given data as normative data or abnormal(Neurological disorder) data. Once the data is classified as an abnormal data it is then undergone multi classification for specifically predicting whether it is either PoTS , Syncopy, Migraine, Epilepsy, Parkinson’s disease, or Alzheimer’s disease .
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How To Cite (APA)
Afreen Fathima, Ananya B R, Anusha T, & Priyanka T Chavan (April-2023). AI Tools for Prediction and Analysis of Neurological disorders using ECG data.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), g349-g358. https://ijnrd.org/papers/IJNRD2304647.pdf
Issue
Volume 8 Issue 4, April-2023
Pages : g349-g358
Other Publication Details
Paper Reg. ID: IJNRD_187444
Published Paper Id: IJNRD2304647
Research Area: Computer EngineeringÂ
Author Type: Indian Author
Country: Bangalore, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304647.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304647
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