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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: | Medical Virtual Assistant - Seamless Care, Virtual and Everywhere |
| Authors Name: | Tejaswini Rasam , Isha Kalbhor , Darshan Taskar , Harshad Khalate , Prof. Vandana Dixit |
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IJNRD_215714
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| Published Paper Id: | IJNRD2403288 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | The "Medical Virtual Assistant" project aims to revolutionize healthcare accessibility by harnessing the power of artificial intelligence and machine learning in a user-friendly Android application. This innovative application empowers users to input their symptoms via voice or text and receive accurate disease predictions, medication recommendations, and access to professional medical advice. Leveraging a comprehensive dataset and integrating machine learning models powered by the Gaussian Naive Bayes algorithm. The "Medical Virtual Assistant" provides personalized healthcare guidance, thus bridging the gap between patients and medical expertise. The project encompasses two user-oriented modules: one for patients and another for healthcare professionals. Patients can input symptoms and receive instant disease predictions, medication suggestions, and referrals to healthcare providers, all while enjoying the flexibility of voice or text input. Additionally, patients have the option to request medication verification from doctors, ensuring their safety and well-being. The doctor module allows healthcare professionals to review patients' requests, provide medication verification, and extend their expertise to supplement the recommendations. This project promotes a collaborative approach to healthcare, where patients and doctors work in unison to enhance medical outcomes and ensure accurate and safe medical advice. This multifaceted application comprises three robust models aimed at addressing critical healthcare needs. The first model focuses on accurately predicting diseases based on user-provided symptoms, leveraging machine learning algorithms trained on comprehensive medical datasets. The second model utilizes disease, gender, and age inputs to recommend appropriate medications, providing tailored suggestions for effective treatments. Additionally, the third model suggests suitable healthcare professionals based on predicted diseases, ensuring users can swiftly access expert medical guidance. With a commitment to quality, accuracy, and user-centric design, the "Medical Virtual Assistant" project aims to revolutionize the way individuals seek healthcare advice, empowering them with knowledge and enabling healthcare professionals to make a positive impact on patients' well-being. This innovative solution has the potential to shape the future of healthcare accessibility, ensuring that users receive accurate, timely, and personalized healthcare guidance at their fingertips. |
| Keywords: | Disease Prediction, Gaussian Naïve Bayes Algorithm, Medicine Recommendation |
| Cite Article: | "Medical Virtual Assistant - Seamless Care, Virtual and Everywhere", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.c713-c718, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403288.pdf |
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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:IJNRD2403288 Registration ID: 215714 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: c713-c718 Country: Pune, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403288 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403288 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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