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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | AI Tools for Prediction and Analysis of Neurological disorders using ECG data. |
| Authors Name: | Afreen Fathima , Ananya B R , Anusha T , Priyanka T Chavan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_187444
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| Published Paper Id: | IJNRD2304647 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| 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 . |
| Keywords: | POTS -Postural tachycardia syndrome |
| Cite Article: | "AI Tools for Prediction and Analysis of Neurological disorders using ECG data.", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.g349-g358, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304647.pdf |
| Downloads: | 000118767 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2304647 Registration ID: 187444 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: g349-g358 Country: Bangalore, Karnataka, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304647 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304647 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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