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.
Κύριοι συγγραφείς: | Istiyaq, Tahsin, Jahan, Nusrat, Diptho, Rakib Ahmmed, Anika, Fairuz, Sadakin, Sifat-E |
---|---|
Άλλοι συγγραφείς: | Hossain, Muhammad Iqbal |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
Brac University
2024
|
Θέματα: | |
Διαθέσιμο Online: | http://hdl.handle.net/10361/22861 |
Παρόμοια τεκμήρια
-
Prevalence and associated risk factors of polycystic ovary syndrome in Asian countries
ανά: Eathan, Bodron Nesa, κ.ά.
Έκδοση: (2024) -
An update on Polycystic Ovary Syndrome (PCOS): diagnosis, risks, etiology, and treatment options revisited
ανά: Islam, Hiya, κ.ά.
Έκδοση: (2021) -
A machine learning approach to detect depression and anxiety using supervised learning
ανά: Ullas, Md Tahmidur Rahman, κ.ά.
Έκδοση: (2019) -
Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
ανά: Bhattacharjee, Ruposri, κ.ά.
Έκδοση: (2024) -
Weather forecasting using Deep Learning
ανά: Fahad, Sheikh Abdul, κ.ά.
Έκδοση: (2023)