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)
ABSTRACT:
Statistics mining is critical for reading big blocks of data, specifically in scientific databases. This paper provides a drug recommender gadget that makes use of patient evaluations to expect disease sentiment using various vectorization processes
like Bow, TF-IDF, Word2Vec, and guide characteristic analysis. The system enables recommend the pinnacle drug for a given ailment by way of one of kind category algorithms. The LinearSVC classifier using TF-IDF vectorization
outperforms all different models with 93% accuracy. The research also addresses the problem of recommending conventional herbal drugs based totally on private health information. The system uses an ontology-based understanding illustration method using net Ontology Language (OWL) to system and describes facts inside the ontology. The machine is tested on 3 scenarios: a couple of sicknesses with one-of-a-kind personal health facts, more than one illness with detailed private health information, and the identical ailment with one of a kind private health records. After evaluation through a scientific specialist, the system is observed to be capable of presenting personalized suggestions of traditional natural drug treatments and their contraindications efficaciously.
Keywords:
Cite Article:
"Survey: ML Techniques For Medicine Recommendation System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.c538-c543, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402259.pdf
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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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