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.
Hlavní autoři: | Istiyaq, Tahsin, Jahan, Nusrat, Diptho, Rakib Ahmmed, Anika, Fairuz, Sadakin, Sifat-E |
---|---|
Další autoři: | Hossain, Muhammad Iqbal |
Médium: | Diplomová práce |
Jazyk: | English |
Vydáno: |
Brac University
2024
|
Témata: | |
On-line přístup: | http://hdl.handle.net/10361/22861 |
Podobné jednotky
-
Prevalence and associated risk factors of polycystic ovary syndrome in Asian countries
Autor: Eathan, Bodron Nesa, a další
Vydáno: (2024) -
An update on Polycystic Ovary Syndrome (PCOS): diagnosis, risks, etiology, and treatment options revisited
Autor: Islam, Hiya, a další
Vydáno: (2021) -
A machine learning approach to detect depression and anxiety using supervised learning
Autor: Ullas, Md Tahmidur Rahman, a další
Vydáno: (2019) -
Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
Autor: Bhattacharjee, Ruposri, a další
Vydáno: (2024) -
Weather forecasting using Deep Learning
Autor: Fahad, Sheikh Abdul, a další
Vydáno: (2023)