Prediction of Diabetes, Cardiac and Parkinson’s disease using machine learning and streamlit framework
| dc.contributor.author | Das, Sumeet | |
| dc.contributor.author | Kumar, Gireesh | |
| dc.contributor.author | Sharma, Richa | |
| dc.date.accessioned | 2025-07-26T09:09:16Z | |
| dc.date.available | 2025-07-26T09:09:16Z | |
| dc.date.issued | 2024-09 | |
| dc.description.abstract | The development of new scientific instruments and the emergence of new technologies have greatly streamlined, expedited, and eased human life. However, just like a coin has two sides, the advent of development has drawbacks of its own. Specifically leading to a more inactive and sedentary as well as numerous lifestyle diseases like diabetes and elevated stress levels, all of which contribute to a host of cardiac diseases. Extended use of social media devices damages the retina and affects neurons, which can result in Parkinson’s disease. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/6560 | |
| dc.language.iso | en | en_US |
| dc.publisher | Multimedia Tools and Applications | en_US |
| dc.subject | Prediction of Diabetes, Cardiac and Parkinson’s disease | en_US |
| dc.title | Prediction of Diabetes, Cardiac and Parkinson’s disease using machine learning and streamlit framework | en_US |
| dc.type | Article | en_US |
