Polycystic ovary syndrome detection using neural network.

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.

Détails bibliographiques
Auteurs principaux:	Istiyaq, Tahsin, Jahan, Nusrat, Diptho, Rakib Ahmmed, Anika, Fairuz, Sadakin, Sifat-E
Autres auteurs:	Hossain, Muhammad Iqbal
Format:	Thèse
Langue:	English
Publié:	Brac University 2024
Sujets:	Machine learning KNN algorithm Linear regression analysis Regression analysis Polycystic ovary syndrome
Accès en ligne:	http://hdl.handle.net/10361/22861

Documents similaires

Prevalence and associated risk factors of polycystic ovary syndrome in Asian countries
par: Eathan, Bodron Nesa, et autres
Publié: (2024)

An update on Polycystic Ovary Syndrome (PCOS): diagnosis, risks, etiology, and treatment options revisited
par: Islam, Hiya, et autres
Publié: (2021)

A machine learning approach to detect depression and anxiety using supervised learning
par: Ullas, Md Tahmidur Rahman, et autres
Publié: (2019)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
par: Bhattacharjee, Ruposri, et autres
Publié: (2024)

Weather forecasting using Deep Learning
par: Fahad, Sheikh Abdul, et autres
Publié: (2023)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
par: Imam, Saif
Publié: (2021)

A review of herbal medicines used in the treatment of PCOS: A breakthrough in modern era
par: Poly, Taslima Sultana
Publié: (2023)

Performance analysis of machine learning algorithms in resume recommendation systems
par: Hasan, Ibteaz, et autres
Publié: (2018)

Supervising vehicle using pattern recognition
par: Lushan, Mihodi Hasan, et autres
Publié: (2018)

Application of CNN based architectures in detection of distracted drivers
par: Arafin, Irfana, et autres
Publié: (2023)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
par: Farabe, Abdullah Al, et autres
Publié: (2021)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
par: Alam, Auninda, et autres
Publié: (2021)

Flood prediction using ensemble machine learning models
par: Rahman, Tanvir
Publié: (2024)

Heart disease prediction using techniques of classification in machine learning
par: Afrose, Sadia, et autres
Publié: (2021)

Machine learning for stress prediction
par: Salehin, Sherajus, et autres
Publié: (2023)

A thesis on utilizing machine learning models to predict material hardship
par: Das, Tirtha
Publié: (2024)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
par: Karim, Shabab, et autres
Publié: (2018)

Analyzing area-wise air pollution level using machine learning for a better future
par: Sihan, Sk. Atik Tajwar, et autres
Publié: (2021)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
par: Alim, Sakib Bin, et autres
Publié: (2021)

Early grade prediction using profile data
par: Iqbal, Sumaiya, et autres
Publié: (2021)

Predicting a T20 cricket match result while the match is in progress
par: Munir, Fahad, et autres
Publié: (2015)

Finding ideal geographical location for businesses using machine learning technique
par: Mahmud, Mir Ibtid, et autres
Publié: (2022)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
par: Alif, Omar Farhad, et autres
Publié: (2023)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
par: Biswas, Sunanda, et autres
Publié: (2022)

Travel time prediction using machine learning and weather impact on traffic conditions
par: Deb, Bilash, et autres
Publié: (2018)

Identification of fake news using machine learning in distributed system
par: Saif, Mehruz, et autres
Publié: (2021)

Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning
par: Ahmed, Shuvro, et autres
Publié: (2023)

A feature selection approach to determine obesity using machine learning method
par: Antor, Shahidul Alam, et autres
Publié: (2021)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
par: Shihab, Ibne Farabi, et autres
Publié: (2018)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
par: Rahee, Arnob, et autres
Publié: (2021)

Application of machine learning techniques on the context of livestock analysis
par: Islam, Md. Shajedul, et autres
Publié: (2018)

Intelligent assisted living in pregnancy
par: Zaman, S. M. Tanveer, et autres
Publié: (2022)

Automated fabric color prediction
par: Muhtashima, Fawzia, et autres
Publié: (2024)

Prediction of bipolar disorder from mental episodes using machine learning approach
par: Tasmeem, Sumaiya, et autres
Publié: (2023)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
par: Turjo, Aquib Abtahi, et autres
Publié: (2021)

Data analysis on the Bangladesh share market using Machine-Learning
par: Sadman, Syed Hassan, et autres
Publié: (2021)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
par: Boateng, Albert, et autres
Publié: (2024)

Forecasting stock market prices using advanced tools of machine learning
par: Anwar, Md. Tawhid, et autres
Publié: (2019)

Detecting tweet sentiment and sarcasm on online learning during covid-19
par: Das, Shishir Kumar, et autres
Publié: (2024)

Early detection of breast cancer using machine learning
par: Fuad, Wasi Mohammad
Publié: (2019)