Machine learning for stress prediction

Machine learning for stress prediction

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliographic Details
Main Authors:	Salehin, Sherajus, Mahmood, Syeda Tanjima, Ayon, Muhtasim Fuad, Rahman, Nafiur
Other Authors:	Rasel, Mr. Annajiat Alim
Format:	Thesis
Language:	English
Published:	Brac University 2023
Subjects:	Machine learning Prediction Decision tree Linear regression Analysis Mental Stress Anxiety Depression Strains and stresses.
Online Access:	http://hdl.handle.net/10361/19386

Similar Items

Prediction of anxiety and depression among the transgender in Bangladesh
by: Easha, Ishrat Jahan, et al.
Published: (2023)

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

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

Overcoming anxiety at work /
by: Miskell, Vincent
Published: (1994)

Automated fabric color prediction
by: Muhtashima, Fawzia, et al.
Published: (2024)

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

Predicting depression in Bangladeshi undergraduates using machine learning
by: Choudhury, Ahnaf Atef, et al.
Published: (2019)

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

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

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

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

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

Machine learning as an indicator for breast cancer prediction
by: Shadman, Tahsin Mohammed, et al.
Published: (2019)

A counseling system to predict the study path for freshmen
by: Usha, Rowshni Tasneem, et al.
Published: (2019)

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

Stress in life and at work /
by: Agrawal, Rita
Published: (2001)

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

Polycystic ovary syndrome detection using neural network.
by: Istiyaq, Tahsin, et al.
Published: (2024)

Predicting climate induced floods using machine learning
by: Saleh, Chowdhury Nafis, et al.
Published: (2022)

Predicting depression in Bangladeshi undergraduates using machine learning
by: Choudhury, Ahnaf Atef, et al.
Published: (2019)

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

Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
by: Hasan, Raad, et al.
Published: (2021)

Stress factors identification and comparative study of stress levels among undergraduate students
by: Khan, Samiha, et al.
Published: (2021)

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

Flood prediction using ensemble machine learning models
by: Rahman, Tanvir
Published: (2024)

Detecting online recruitment fraud by using machine learning
by: Ghosh, Gitanjali, et al.
Published: (2021)

Coping with stress at work /
by: Atkinson, Jacqueline M.
Published: (1988)

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

Fighting depression: psychological approaches among Bangladeshi university students
by: Sen, Sanjib Kumar, et al.
Published: (2022)

Impacts of Psychosocial stress on Physiology and Psychology substantially based on effort reward imbalance model: A comprehensive review
by: Jahan, M. An. Nayem
Published: (2021)

Cardiovascular disease prediction model using Machine Learning Algorithm
by: Arefin Mirdha, MD Shamsul
Published: (2023)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
by: Islam, Zahedul, et al.
Published: (2023)

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

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

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

An analysis on the effects of parenting style on offspring’s behavior using machine learning
by: Akter, Nasrin
Published: (2023)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
by: Toufique, S.M, et al.
Published: (2024)

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

Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
by: Amin, M.M. Shahriar, et al.
Published: (2021)

Flood prediction using machine learning models
by: Syeed, Miah Mohammad Asif, et al.
Published: (2022)