Fighting depression: psychological approaches among Bangladeshi university students

Fighting depression: psychological approaches among Bangladeshi university students

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliographische Detailangaben
Hauptverfasser:	Sen, Sanjib Kumar, Apurba, Md. Shifatul Ahsan
Weitere Verfasser:	Anwar, Md. Tawhid
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2022
Schlagworte:	Depression Mental health Prediction Random forest Gaussian Naive Bayes Deep learning Neural networks Decision tree Support Vector Machine Machine learning Cognitive learning theory (Deep learning) Neural networks (Computer science)
Online Zugang:	http://hdl.handle.net/10361/17137

Ähnliche Einträge

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

A hybrid rumor detection model derived from a comparative study of supervised approaches
von: Aothoi, Mehzabin Sadat, et al.
Veröffentlicht: (2023)

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

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

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
von: Al Amin, Istiak, et al.
Veröffentlicht: (2022)

A machine learning approach to predict young voter enthusiasm based on non-political factors
von: Rahman, Md. Nowroz Junaed, et al.
Veröffentlicht: (2021)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
von: Islam, Roman, et al.
Veröffentlicht: (2024)

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

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

Parking data analysis
von: Ahamed, Kasfi, et al.
Veröffentlicht: (2023)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
von: Sarker, Md Wafi, et al.
Veröffentlicht: (2023)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
von: Tasnim, Anika, et al.
Veröffentlicht: (2022)

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

Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
von: Al Taawab, Abdullah, et al.
Veröffentlicht: (2022)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
von: Sarkar, Ripa, et al.
Veröffentlicht: (2024)

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

A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
von: Mahmud, Shakib Izaz, et al.
Veröffentlicht: (2022)

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

Sentiment analysis to determine employee job satisfaction using machine learning techniques
von: Mouli, Nazifa, et al.
Veröffentlicht: (2023)

An effective machine learning approach for sentiment analysis of restaurant reviews
von: Karim, Rabita
Veröffentlicht: (2018)

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

An efficient deep learning approach to detect skin Cancer
von: Islam, Ashfaqul, et al.
Veröffentlicht: (2022)

An efficient deep learning approach to classify white blood cells
von: Turja, Afif Ibna Kadir Khan, et al.
Veröffentlicht: (2024)

Corn leaf disease detection using deep convolution neural network
von: Rabbi, Rawhatur, et al.
Veröffentlicht: (2023)

An efficient ML approach to detect brain tumor using MRI images
von: Muktadir, MD. Arafat, et al.
Veröffentlicht: (2024)

Visual object classification from fMRI data
von: Newaz, Syed Mishar, et al.
Veröffentlicht: (2022)

Aspect based opinion mining on restaurant reviews
von: Tonmoy, Sazid Hasan, et al.
Veröffentlicht: (2024)

Performance analysis of machine learning classi ers for detecting PE malware
von: Azmee, ABM.Adnan, et al.
Veröffentlicht: (2020)

An implementation and analysis of deep learning models for the detection of wheat diseases
von: Zubair, Ahmad, et al.
Veröffentlicht: (2024)

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

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
von: Ahmed, Istiak, et al.
Veröffentlicht: (2023)

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

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
von: Saad-Ul-Kabir, Syed, et al.
Veröffentlicht: (2021)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
von: Datta, Nirjhor, et al.
Veröffentlicht: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
von: Ifty, Md. Hasin Sarwar, et al.
Veröffentlicht: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
von: Sakir, Adnan, et al.
Veröffentlicht: (2023)

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

Credit card fraud detection using machine learning techniques
von: Kabir, Tasmia, et al.
Veröffentlicht: (2021)

Multimodal fake news detection using text and image
von: Biswas, Trisha, et al.
Veröffentlicht: (2024)

Hybrid recommendation system of intelligent captioning using deep learning networks
von: Wasi, Ahamed Al, et al.
Veröffentlicht: (2024)