Applications of knowledge graph generation via keyword search for medical data
Artificial intelligence (AI) is making big changes in many areas, including medicine. More people are using online medical websites for health advice, which can be both good and bad. While these online tools give quick access to a lot of health information, there can be problems like wrong self-diag...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/172622 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Artificial intelligence (AI) is making big changes in many areas, including medicine. More people are using online medical websites for health advice, which can be both good and bad. While these online tools give quick access to a lot of health information, there can be problems like wrong self-diagnoses. This report talks about using Knowledge Graphs (KG) to help solve some of these problems. KGs are like visual maps that show how different pieces of data connect, and they can make understanding complex topics, like diseases, easier. Our main goal was to make a KG for 'Diabetes'. We used OpenAI’s tools and checked our data with trusted medical websites. This report will explain how we made the system, what it looks like, and what we learned from it. |
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