Identification of Disease, Treatment Relationship, Using Machine Learning and Natural Language Processing
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Computer science
Artificial Intelligence
Machine Learning
Natural Language processing
disease
disease identification
cure
preventions
NLP
Image Processing
Naïve Bayes
Abstract
Machine Learning has gained momentum in almost any domain of research and just recently has become a reliable tool in the medical domain. It can be briefly defined as enabling computers to make successful predictions using past experiences. That’s why we are implementing software that will make symptoms of a patient as an input in the form of natural language or text. And from machine learning the software will predict his/her disease and help him/her with the proper method of treatment. As nowadays new diseases are evolving our software will reduce their daily stress. Also, in small villages where doctors are not available 24/7 our software will prove helpful for them and will advise them to take essential steps for medications.
License
This work is licensed under a Creative
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Mohammed Faiz Abdul Khalique Patel | G. H. Raisoni Inst. of Engineering and Management, MS. India |
| 2 | Sourav Sajeevan | G. H. Raisoni Inst. of Engineering and Management, MS. India |
| 3 | Akash Sudhakar Pansambal | G. H. Raisoni Inst. of Engineering and Management, MS. India |
| 4 | Ms. Shital Jadhav | G. H. Raisoni Inst. of Engineering and Management, MS. India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Patel, Mohammed Faiz Abdul Khalique, Sajeevan, Sourav, Pansambal, Akash Sudhakar, & Jadhav, Ms. Shital (2021). Identification of Disease, Treatment Relationship, Using Machine Learning and Natural Language Processing. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 920-923.
MLA Style
Patel, Mohammed Faiz Abdul Khalique, et al. "Identification of Disease, Treatment Relationship, Using Machine Learning and Natural Language Processing." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 920-923.
IEEE Style
Mohammed Faiz Abdul Khalique Patel, Sourav Sajeevan, Akash Sudhakar Pansambal, and Ms. Shital Jadhav, "Identification of Disease, Treatment Relationship, Using Machine Learning and Natural Language Processing," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 920-923, 2021.
Vancouver Style
Patel Mohammed Faiz Abdul Khalique, Sajeevan Sourav, Pansambal Akash Sudhakar, Jadhav Ms. Shital. Identification of Disease, Treatment Relationship, Using Machine Learning and Natural Language Processing. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):920-923.
Harvard Style
Patel, Mohammed Faiz Abdul Khalique, Sajeevan, Sourav, Pansambal, Akash Sudhakar, & Jadhav, Ms. Shital (2021) 'Identification of Disease, Treatment Relationship, Using Machine Learning and Natural Language Processing', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 920-923.
Chicago Style
Patel, Mohammed Faiz Abdul Khalique, et al. "Identification of Disease, Treatment Relationship, Using Machine Learning and Natural Language Processing." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 920-923.
Turabian Style
Patel, Mohammed Faiz Abdul Khalique, et al. "Identification of Disease, Treatment Relationship, Using Machine Learning and Natural Language Processing." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 920-923.
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