dc.contributor.author | Aditya Kumar, 18SCSE1010699 | |
dc.contributor.author | Akash Vishwakarma, 18SCSE1010657 | |
dc.date.accessioned | 2022-08-02T11:00:19Z | |
dc.date.available | 2022-08-02T11:00:19Z | |
dc.date.issued | 2022-05 | |
dc.identifier.uri | http://10.10.11.6/handle/1/10023 | |
dc.description.abstract | In the face of Covid-19, we have realized how a more technologically advanced
health sector would be highly effective. We can finally see through and
understand how lack of doctors and nurses can be maneuvered in hospitals, for
readily available assistance to patients at any time of the day, and even so to
doctors and their hectic routines. Health Recommendation systems are one of
the new and growing technologies for assisting patients by understanding their
history. These systems can do numerous things like help find recommended
hospitals by understanding the similarities in patterns which exist in the health
care sector. | en_US |
dc.language.iso | en | en_US |
dc.publisher | GALGOTIAS UNIVERSITY | en_US |
dc.subject | of Covid-19, | en_US |
dc.subject | healthcare industry | en_US |
dc.subject | CHATBOT | en_US |
dc.title | Healthcare Chat-bot for Disease Prediction Using Python | en_US |
dc.type | Other | en_US |