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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: | Multiple Disease Prediction Using Python |
| Authors Name: | SHIVKANYA SAKHARAM ANNAPURVE , RUDRANI PAPESHWAR PULKANTWAR , PRIYANKA DYANOBA GORE , Mr.TAHSEEN ALI |
| Download E-Certificate: | Download |
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IJNRD_210715
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| Published Paper Id: | IJNRD2312129 |
| Published In: | Volume 9 Issue 1, January-2024 |
| DOI: | |
| Abstract: | Abstract: Disease Prediction is a Machine Learning based system which primarily works according to the symptoms given by a user. The disease is predicted using algorithms and comparison of the datasets with the symptoms provided by the user. Many of the existing machine learning models for health care analysis are concentrating on one disease per analysis. Like one analysis if for diabetes analysis, one for cancer analysis, one for skin diseases like that. There is no common system where one analysis can perform more than one disease prediction. In the proposed system, it provides machine learning algorithms for effective prediction of various disease occurrences in disease-frequent societies. The analysis accuracy is reduced when the quality of medical data in incomplete. There are multiple techniques in machine learning that can in a variety of industries, do predictive analytics on large amounts of data. Predictive analytics in healthcare is a difficult end, but it can eventually assist practitioners in making timely decisions regarding patients' health and treatment based on massive data. Diseases like Breast cancer, diabetes, and heart related diseases are causing many deaths globally but most of these deaths are due to the lack of timely check-ups of the diseases. The above problem occurs due to a lack of medical infrastructure and a low ratio of doctors to the population. |
| Keywords: | Machine Learning Algorithm, python, SVM, KNN, Random Forest. |
| Cite Article: | "Multiple Disease Prediction Using Python", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 1, page no.b126-b131, January-2024, Available :http://www.ijnrd.org/papers/IJNRD2312129.pdf |
| Downloads: | 000118760 |
| 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:IJNRD2312129 Registration ID: 210715 Published In: Volume 9 Issue 1, January-2024 DOI (Digital Object Identifier): Page No: b126-b131 Country: Nanded, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2312129 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2312129 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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