Please use this identifier to cite or link to this item: http://13.232.72.61:8080/jspui/handle/123456789/5277
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dc.contributor.authorMonisha, V.-
dc.contributor.authorChayapathi, A. R.-
dc.contributor.authorNeha, H. A.-
dc.contributor.authorPallavi, Pandith-
dc.contributor.authorShravya, A.-
dc.date.accessioned2022-01-28T10:11:37Z-
dc.date.available2022-01-28T10:11:37Z-
dc.date.issued2021-07-
dc.identifier.citationMonisha, V., Chayapathi, A. R., Neha, H. A., Pallavi, Pandith., & Shravya, A. (2021). Organiscribe - A Herbal Prescription Application for Healthcare and Immunity. International Research Journal of Engineering and Technology, 8(7). 3297-3302.en_US
dc.identifier.urihttp://13.232.72.61:8080/jspui/handle/123456789/5277-
dc.descriptionuse only for the academic purposeen_US
dc.description.abstractFrom the antecedent of human civilization, plants, seeds, flowers, trees with medicinal properties have played an integral role. The existing health care system is more kin towards western medication practices, awareness and understanding towards traditional herbal health care is limited hence, we intend to develop an android based mobile application based on machine learning that provides herbal suggestions. Decision Tree (DT) and Random Forest (RF) algorithms are used for disease prediction and herbal remedy for both disease and immunity boosting. The machine learning model is trained and tested based on symptoms for prediction of disease and herbal remedy. The introduced mobile application is helpful for the people who would like to use herbal medicine instead of chemical ones to avoid allergies and other side effects.en_US
dc.language.isoenen_US
dc.publisherIRJETen_US
dc.subjectImmunity Boostersen_US
dc.subjectRandom Foresten_US
dc.subjectDecision Treeen_US
dc.subjectSymptomsen_US
dc.titleOrganiscribe - A Herbal Prescription Application for Healthcare and Immunityen_US
dc.typeArticleen_US
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