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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21664
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
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Published Paper Details
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| Paper Title: | Flask Based Multiple Disease Predictor Using ML and DL |
| Authors Name: | Yash Yadav , Ritik Chaudhary , Rohit Kumar , Pranshu Vikram Singh |
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| Author Reg. ID: |
IJRTI_204580
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| Published Paper Id: | IJRTI2506052 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | Abstract—Healthcare is a broad area in which computer technology continuously subsume into numerous technologies, mainly Machine Learning algorithms and hospital-generated datasets. Supervised Machine Learning algorithms are exoneration in the healthcare industry. With the help of this forecast, we will identify the illness at the premature phase and deal with the required treatment. We are testing the precision of different models using the given dataset. In our opinion, during the analysis of medical data on a larger scale, no previous work has dealt with both types of data. The purpose of this literature, the aim is to acknowledge trends among different types of supervised ML models in disease detection by examining the performance metrics. The most discussed ML algorithms were Naive Bayes (NB), Decision Trees (DT), K-Nearest Neighbor (KNN). As per records, Support Vector Machine (SVM) is the most accurate at detecting kidney dis eases. |
| Keywords: | ML, Healthcare, Decision Tree, Pre diction, supervised learning |
| Cite Article: | "Flask Based Multiple Disease Predictor Using ML and DL ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a468-a470, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506052.pdf |
| Downloads: | 000370 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2506052
Registration ID:204580
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a468-a470 Country: G.B.Nagar, Uttar Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506052 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506052 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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