Natural Language Processing and Machine Learning-Based Medical Decision Support Application Concept Design for Gastroesophageal Reflux Disease

  • Eser Sahibi Tevfik Aşgın
  • Tez Danışmanı Sıla Övgü Korkut Uysal
  • Tür Diğer
  • Yayın Tarihi 2024
  • Yayıncı İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü
  • Tek Biçim Adres https://hdl.handle.net/11469/3955
  • Konu Başlıkları LangChain
    ChatGPT-4

This text discusses a project for a concept design that aims to help doctors better diagnose and treat Gastroesophageal Reflux Disease (GERD) using the latest methods in artificial intelligence (AI), specifically LangChain and ChatGPT-4 from OpenAI. The project includes creating a system for GERD, using AI to work with medical data, testing the system with some patient cases, and seeing how well it helps in treating GERD. The project seeks to explore the feasibility of implementing a system that enhances the diagnosis and treatment through the application. 50 cases were generated for evaluation, with a ChatGPT response for each case. Of these, 36 cases were accurately evaluated with correct references, while 14 cases received satisfactory evaluations but included references not originally provided to ChatGPT. Overall, the recommendations made by ChatGPT were deemed satisfactory, showcasing the model's capability to offer preliminary advice and insights

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Detaylı Görünüm
Eser Adı
(dc.title)
Natural Language Processing and Machine Learning-Based Medical Decision Support Application Concept Design for Gastroesophageal Reflux Disease
Eser Sahibi
(dc.contributor.author)
Tevfik Aşgın
Tez Danışmanı
(dc.contributor.advisor)
Sıla Övgü Korkut Uysal
Yayıncı
(dc.publisher)
İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü
Tür
(dc.type)
Diğer
Özet
(dc.description.abstract)
This text discusses a project for a concept design that aims to help doctors better diagnose and treat Gastroesophageal Reflux Disease (GERD) using the latest methods in artificial intelligence (AI), specifically LangChain and ChatGPT-4 from OpenAI. The project includes creating a system for GERD, using AI to work with medical data, testing the system with some patient cases, and seeing how well it helps in treating GERD. The project seeks to explore the feasibility of implementing a system that enhances the diagnosis and treatment through the application. 50 cases were generated for evaluation, with a ChatGPT response for each case. Of these, 36 cases were accurately evaluated with correct references, while 14 cases received satisfactory evaluations but included references not originally provided to ChatGPT. Overall, the recommendations made by ChatGPT were deemed satisfactory, showcasing the model's capability to offer preliminary advice and insights
Kayıt Giriş Tarihi
(dc.date.accessioned)
2024-03-13
Açık Erişim Tarihi
(dc.date.available)
2024-03-13
Yayın Tarihi
(dc.date.issued)
2024
Tek Biçim Adres
(dc.identifier.uri)
https://hdl.handle.net/11469/3955
Yayın Dili
(dc.language.iso)
eng
Konu Başlıkları
(dc.subject)
LangChain
Konu Başlıkları
(dc.subject)
ChatGPT-4
Haklar
(dc.rights)
Open access
Analizler
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