Predictive Analytics in Virtual Healthcare using Decision-Tree
The advancement of modern technologies, such as artificial intelligence (AI), is transforming healthcare by offering innovative solutions. An increase in accuracy is achievable through training large datasets, hence providing personalized medical assistance via chatbots. For a great number of people who are in dire need of medical help but aren't able to get it in a timely fashion, which can turn fatal, our chatbot assists them tremendously in a variety of scenarios.Such a bot is trained in understanding the type of the user, as well as the user’s age, sex, and so on. Depending on how pronounced the symptoms are, i.e. how severe, which are reported, the bot will respond with necessary next steps. We have integrated the chatbot into a website in which the user is required to input the needed information before logging in. If need be, the chat-bot also gives out names and contact number of specialist’s doctors for additional follow ups. Its cloud based architecture is flexible and secure. The abstract outlines the possible transformations AI virtual chatbots may bring in medical facilities delivering automated medical diagnosis and treatment at the point of time.
Authors
- Nagaraju Bogiri (ORCID: https://orcid.org/0000-0003-3037-4452)
- Vikas Maral (ORCID: https://orcid.org/0000-0001-6973-9987)
- Vaibhav Pandey
- Aishwarya Mane (ORCID: https://orcid.org/0009-0002-2739-4866)
- Sai Pagar
- Om Babde
Institutions
- International Institute of Information Technology (IN)
Publication Details
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/icdsaai65575.2025.11011582
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00