| Autor: |
Ameet Chavan, C. Naga Bhuwaneshwar, Joshua Ernest Pedi Reddy, Shiva Palakurthi |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 IEEE International Conference for Innovation in Technology (INOCON). |
| DOI: |
10.1109/inocon50539.2020.9298232 |
| Popis: |
The implementation of an AI-IoT based Healthcare Prognosis Interactive System is discussed in this paper. The purpose of the system is to provide expertise in real-time medical diagnosis and support patients in the absence of healthcare workers. The current issue with the healthcare applications that are available globally is the dependency on doctors' diagnosis and other medical expertise. The Healthcare Prognosis Interactive System overcomes this inadequacy via an AI-based chatbot and an Application Interface by providing effective means of gathering information, answering general medical queries, providing user assistance specialised for medical purposes and alerting patients on their medication. The HPIS provides an accurate response for 90% of all users' questions. The device is enabled with a capacity for adaptive learning. For low confidence queries, the bot prompts for additional user inputs and updates its database. The Application Interface integrated with smart pill dispensers is also used to monitor and track the well being of users thus enhancing medication adherence. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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