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.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1109/icdsaai65575.2025.11011582
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

Predictive Analytics in Virtual Healthcare using Decision-Tree

Nagaraju Bogiri, Vikas Maral, Vaibhav Pandey, Aishwarya Mane et al.
Artificial Intelligence in Healthcare
article

Predictive Analytics in Virtual Healthcare using Decision-Tree

Nagaraju Bogiri, Vikas Maral, Vaibhav Pandey, Aishwarya Mane, Sai Pagar, Om Babde
article en

Abstract

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.

International Institute of Information Technology (IN)
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Openalex Percentile: Top 86%
Artificial Intelligence in Healthcare
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