Polycystic ovary syndrome detection using neural network.
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
Autori principali: | Istiyaq, Tahsin, Jahan, Nusrat, Diptho, Rakib Ahmmed, Anika, Fairuz, Sadakin, Sifat-E |
---|---|
Altri autori: | Hossain, Muhammad Iqbal |
Natura: | Tesi |
Lingua: | English |
Pubblicazione: |
Brac University
2024
|
Soggetti: | |
Accesso online: | http://hdl.handle.net/10361/22861 |
Documenti analoghi
-
Prevalence and associated risk factors of polycystic ovary syndrome in Asian countries
di: Eathan, Bodron Nesa, et al.
Pubblicazione: (2024) -
An update on Polycystic Ovary Syndrome (PCOS): diagnosis, risks, etiology, and treatment options revisited
di: Islam, Hiya, et al.
Pubblicazione: (2021) -
A machine learning approach to detect depression and anxiety using supervised learning
di: Ullas, Md Tahmidur Rahman, et al.
Pubblicazione: (2019) -
Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
di: Bhattacharjee, Ruposri, et al.
Pubblicazione: (2024) -
Weather forecasting using Deep Learning
di: Fahad, Sheikh Abdul, et al.
Pubblicazione: (2023)