Menu

You are here

Member Profile

Membership type: full

Nitisha Aggarwal

Country of origin: India Currently in: India, Delhi General field of specialization: Computing and Information Technology
Academic Background

Degrees

2013 Master Computing and Information Technology
Research and Profession

Current Research Activities

Computing and Information Technology

Recently, working on health data to design an intelligent system to predict health conditions.


Publications resulting from Research: 


1. N. Aggarwal, U. Shukla, G. J. Saxena, M. Kumar, A. S. Bafila, S. Singh and A. Pundir, "An improved technique for risk prediction of Polycystic Ovary Syndrome (PCOS) using feature selection and machine learning," presented at the InCITe- 2022, Noida, Uttar Pradesh, India, March 3-4, 2022.
2. K. Sharma, R. Chawla, U. Shukla, N. Aggarwal, A. S. Bafila, S. Singh, A. Pundir and G. J. Saxena, "Predictive analysis based on feature relevance estimation for survival rate post heart failure using ensemble learners," presented at the ICDCECE, Ballari, Karnataka, India, April 23-24, 2022.
3. N. Aggarwal, I. Pundir, U. Shukla, and S. Singh “Spatiotemporal Prediction of Chickenpox Cases using Graph Attention Network ” selected at the INDICON 2022 IEEE 19th India Council International Conference.



Current profession

Current professional activities type: 
Higher Education Study
Senior Research Fellow

Workshop and Conference Attended

2022 Ballari, Karnataka IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE-2022)

Presentation given

2022
Predictive analysis based on feature relevance estimation for survival rate post heart failure using ensemble learners
Ballari, Karnataka
Event: IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE-2022)

Search form