Predicting depression in Bangladeshi undergraduates using machine learning
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
Egile Nagusiak: | Choudhury, Ahnaf Atef, Khan, Md Rezwan Hassan, Nahim, Nabuat Zaman, Tulon, Sadid Rafsun |
---|---|
Beste egile batzuk: | Chakrabarty, Amitabha |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
BRAC University
2019
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/11470 |
Antzeko izenburuak
-
Predicting depression in Bangladeshi undergraduates using machine learning
nork: Choudhury, Ahnaf Atef, et al.
Argitaratua: (2019) -
A machine learning approach to detect depression and anxiety using supervised learning
nork: Ullas, Md Tahmidur Rahman, et al.
Argitaratua: (2019) -
Prediction of anxiety and depression among the transgender in Bangladesh
nork: Easha, Ishrat Jahan, et al.
Argitaratua: (2023) -
Determination of severity of postpartum depression in Bangladeshi women
nork: Islam, Shanta
Argitaratua: (2018) -
BMI perception of undergraduate students on caffeine intake, smoking and physical exercise
nork: Shorna, Fatema
Argitaratua: (2021)