Member Profile
Membership type: full
Nitisha Aggarwal
Country of origin: India Currently in: India, Delhi General field of specialization: Computing and Information Technology-
Degrees
2013 Master Computing and Information Technology -
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 StudySenior Research Fellow
Workshop and Conference Attended
2022 Ballari, Karnataka IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE-2022)Presentation given
2022Predictive analysis based on feature relevance estimation for survival rate post heart failure using ensemble learnersBallari, KarnatakaEvent: IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE-2022)
