Of Rising ScholarsFall 2022
Krishnaveni will be presenting at The Symposium of Rising Scholars on Saturday, September 24th! To attend the event and see Krishnaveni's presentation,Register here!
BASIS Independent Silicon ValleyClass of 2024Santa Clara, California
- "How could AI assist in the prediction and search for risk factors of anorexia nervosa?" with mentor Shaan (Working project)
How could AI assist in the prediction and search for risk factors of anorexia nervosa?
Started Feb. 1, 2022
Abstract or project description
Krishnaveni's project will focus on using machine learning to predict eating disorder status using the AddHealth Dataset. The variable of interest for prediction will be the H3GH8 question - “Have you ever been told by a doctor that you have an eating disorder, such as anorexia nervosa or bulimia?”. The training features will include all other survey questions responded to by subjects that answered the above question. The project will use principal component analysis and recursive feature elimination as feature reduction methods, and will use Support Vector Machine and XGBoost models as the models of choice. The hypothesis is that features such as adoption status, gender, and abuse will be the strongest predictors of eating disorder status and that the model will have high predictive value for eating disorder status.