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.

Manylion Llyfryddiaeth
Prif Awduron:	Istiyaq, Tahsin, Jahan, Nusrat, Diptho, Rakib Ahmmed, Anika, Fairuz, Sadakin, Sifat-E
Awduron Eraill:	Hossain, Muhammad Iqbal
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2024
Pynciau:	Machine learning KNN algorithm Linear regression analysis Regression analysis Polycystic ovary syndrome
Mynediad Ar-lein:	http://hdl.handle.net/10361/22861

Eitemau Tebyg

Prevalence and associated risk factors of polycystic ovary syndrome in Asian countries
gan: Eathan, Bodron Nesa, et al.
Cyhoeddwyd: (2024)

An update on Polycystic Ovary Syndrome (PCOS): diagnosis, risks, etiology, and treatment options revisited
gan: Islam, Hiya, et al.
Cyhoeddwyd: (2021)

A machine learning approach to detect depression and anxiety using supervised learning
gan: Ullas, Md Tahmidur Rahman, et al.
Cyhoeddwyd: (2019)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
gan: Bhattacharjee, Ruposri, et al.
Cyhoeddwyd: (2024)

Weather forecasting using Deep Learning
gan: Fahad, Sheikh Abdul, et al.
Cyhoeddwyd: (2023)

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

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

Performance analysis of machine learning algorithms in resume recommendation systems
gan: Hasan, Ibteaz, et al.
Cyhoeddwyd: (2018)

Supervising vehicle using pattern recognition
gan: Lushan, Mihodi Hasan, et al.
Cyhoeddwyd: (2018)

Application of CNN based architectures in detection of distracted drivers
gan: Arafin, Irfana, et al.
Cyhoeddwyd: (2023)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
gan: Farabe, Abdullah Al, et al.
Cyhoeddwyd: (2021)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
gan: Alam, Auninda, et al.
Cyhoeddwyd: (2021)

Flood prediction using ensemble machine learning models
gan: Rahman, Tanvir
Cyhoeddwyd: (2024)

Heart disease prediction using techniques of classification in machine learning
gan: Afrose, Sadia, et al.
Cyhoeddwyd: (2021)

Machine learning for stress prediction
gan: Salehin, Sherajus, et al.
Cyhoeddwyd: (2023)

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

Predicting stock market trend from twitter feed and building a framework for Bangladesh
gan: Karim, Shabab, et al.
Cyhoeddwyd: (2018)

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

Estimating flood susceptibility of Bangladesh in the future year using machine learning
gan: Alim, Sakib Bin, et al.
Cyhoeddwyd: (2021)

Early grade prediction using profile data
gan: Iqbal, Sumaiya, et al.
Cyhoeddwyd: (2021)

Predicting a T20 cricket match result while the match is in progress
gan: Munir, Fahad, et al.
Cyhoeddwyd: (2015)

Finding ideal geographical location for businesses using machine learning technique
gan: Mahmud, Mir Ibtid, et al.
Cyhoeddwyd: (2022)

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

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

Travel time prediction using machine learning and weather impact on traffic conditions
gan: Deb, Bilash, et al.
Cyhoeddwyd: (2018)

Identification of fake news using machine learning in distributed system
gan: Saif, Mehruz, et al.
Cyhoeddwyd: (2021)

Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning
gan: Ahmed, Shuvro, et al.
Cyhoeddwyd: (2023)

A feature selection approach to determine obesity using machine learning method
gan: Antor, Shahidul Alam, et al.
Cyhoeddwyd: (2021)

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

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
gan: Rahee, Arnob, et al.
Cyhoeddwyd: (2021)

Application of machine learning techniques on the context of livestock analysis
gan: Islam, Md. Shajedul, et al.
Cyhoeddwyd: (2018)

Intelligent assisted living in pregnancy
gan: Zaman, S. M. Tanveer, et al.
Cyhoeddwyd: (2022)

Automated fabric color prediction
gan: Muhtashima, Fawzia, et al.
Cyhoeddwyd: (2024)

Prediction of bipolar disorder from mental episodes using machine learning approach
gan: Tasmeem, Sumaiya, et al.
Cyhoeddwyd: (2023)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
gan: Turjo, Aquib Abtahi, et al.
Cyhoeddwyd: (2021)

Data analysis on the Bangladesh share market using Machine-Learning
gan: Sadman, Syed Hassan, et al.
Cyhoeddwyd: (2021)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
gan: Boateng, Albert, et al.
Cyhoeddwyd: (2024)

Forecasting stock market prices using advanced tools of machine learning
gan: Anwar, Md. Tawhid, et al.
Cyhoeddwyd: (2019)

Detecting tweet sentiment and sarcasm on online learning during covid-19
gan: Das, Shishir Kumar, et al.
Cyhoeddwyd: (2024)

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