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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 Based Disease Prediction Technology (DPT-AI-CH1) |
| Authors Name: | Mr. Buddh Bhagwan Sahu |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_210162
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| Published Paper Id: | IJNRD2312032 |
| Published In: | Volume 8 Issue 12, December-2023 |
| DOI: | |
| Abstract: | In this chapter our main motive to introduce about implementation beginning. Artificial Intelligence is one and only way to define everything such as man power, machine capacity, honesty, accuracy, and medical science related diagnosis, treatment, precautions, preventions, future on visions. AI based disease prediction technology (DPT-AI) can give the enormous route to give healthy life. Initially we will execute our disease prediction technology in manual version. The dependency on computer-based technology has resulted in storage of lot of electronic data in the health care industry. As a result of which, health professionals and doctors are dealing with demanding situations to research signs and symptoms correctly and perceive illnesses at an early stage. However, Machine Learning technologies have been proven beneficial in giving an immeasurable platform in the medical field so that health care issues can be resolved effortlessly and expeditiously. Disease Prediction is a Machine Learning based system which primarily works according to the symptoms given by a user. The disease is predicted using python and many supportive programming language algorithms & comparison of the datasets with the symptoms provided by the user. |
| Keywords: | Prediction, Personalization, Participation, Database, Non-communicable chronic diseases, Proactive, Healthcare innovation and Prevention, Dataset. Linear, Non-Linear learning techniques, support vector machines, Sigmoid and Restricted Boltzmann Methods. |
| Cite Article: | "AI Based Disease Prediction Technology (DPT-AI-CH1)", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 12, page no.a228-a243, December-2023, Available :http://www.ijnrd.org/papers/IJNRD2312032.pdf |
| Downloads: | 000118753 |
| 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:IJNRD2312032 Registration ID: 210162 Published In: Volume 8 Issue 12, December-2023 DOI (Digital Object Identifier): Page No: a228-a243 Country: Raipur, Chhattisgarh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2312032 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2312032 |
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ISSN: 2456-4184
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