Authors - Alena Rodicheva, Svetlana S. Bodrunova, Zaeem Yasin, Ivan S. Blekanov, Nikita Tarasov Abstract - Polycystic ovary syndrome (PCOS) is a complex of symptoms that affects many women and is estimated to affect 6 to 12% of women of childbearing age. This commonality makes it hard for healthcare professionals to give an accurate diagnosis of PCOS and thereby received adequate treatment. We created a computer system that converses with users and guides their understanding of PCOS. This system uses a language model called Ollama, which is similar to the LLaMA model. We also added a vast detailed database about PCOS categorized into 12 sections. It analyzes user questions to ensure that the responses are relevant and correct. The system was trialed with positive performance. It accurately detected PCOS related queries and formulated appropriate responses. Well, the system is very smart and can go through a huge amount of data to find for each question three most relevant answers. The most common application is augmenting LLM with scraping & performing other programming operations over the LLM to give more accurate answers than just a language model. We developed a computer program that can help PCOS patients without compromising their privacy. This system even has benefits for healthcare providers as it provides information that aids them in such treatments for women with PCOS. This project is a great example of using computer programs to help humans with PCOS and other similar things.
Open Zoom