| dc.contributor.author | Liyanage, Dineth | |
| dc.date.accessioned | 2025-06-18T06:46:30Z | |
| dc.date.available | 2025-06-18T06:46:30Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Liyanage, Dineth (2024) A Healthcare platform powered by Artificial Intelligence. BSc. Dissertation, Informatics Institute of Technology | en_US |
| dc.identifier.issn | 2019860 | |
| dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/2651 | |
| dc.description.abstract | "The healthcare industry faces persistent challenges in accurately diagnosing critical health conditions like cardiovascular diseases and brain tumors, despite remarkable technological advancements. Accurate and timely diagnoses are crucial, directly impacting patient outcomes and healthcare costs. Patients often endure a protracted and expensive journey of tests and consultations in current healthcare systems, while resource constraints burden medical professionals, leading to delayed diagnoses. The patients may struggle to buy or find the exact medicine prescribed by doctors. Even though there are multiple drugs with same attributes under different names, Current healthcare platforms have not been successful at suggesting alternative medicine efficiently. To address these issues and improve healthcare system efficiency, this research proposal presents a comprehensive web application that seamlessly integrates multiple machine learning models. This application aims to accurately detect critical health conditions (cardiovascular diseases and brain tumors) and provide intelligent recommendations for alternative medications, enhancing accessibility and efficiency for both patients and healthcare providers." | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Automated Disease diagnosis | en_US |
| dc.subject | Alternate Medicine suggestion | en_US |
| dc.title | A Healthcare platform powered by Artificial Intelligence | en_US |
| dc.type | Thesis | en_US |