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.

Bibliografiset tiedot
Päätekijät:	Istiyaq, Tahsin, Jahan, Nusrat, Diptho, Rakib Ahmmed, Anika, Fairuz, Sadakin, Sifat-E
Muut tekijät:	Hossain, Muhammad Iqbal
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Machine learning KNN algorithm Linear regression analysis Regression analysis Polycystic ovary syndrome
Linkit:	http://hdl.handle.net/10361/22861

Samankaltaisia teoksia

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

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

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

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

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

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

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

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

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

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

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

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

Flood prediction using ensemble machine learning models
Tekijä: Rahman, Tanvir
Julkaistu: (2024)

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

Machine learning for stress prediction
Tekijä: Salehin, Sherajus, et al.
Julkaistu: (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Automated fabric color prediction
Tekijä: Muhtashima, Fawzia, et al.
Julkaistu: (2024)

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

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

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

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

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

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

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