Tavpritesh Sethi

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Silver Nanoparticles

Machine Learning

Coronavirus Disease

Top Venues

JMIR infodemiology

Journal of medical Internet research

Scientific reports

JMIR mental health

Indraprastha Institute of Information Technology

Institute of Genomics and Integrative Biology CSIR (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Indraprastha Institute of Information Technology Aug 01 2016

India

Assistant Professor :: Computational Biology

Institute of Genomics and Integrative Biology CSIR Aug 13 2013 - Jul 31 2015

India

Scientist Fellow

Education History

Institute of Genomics and Integrative Biology CSIR Sep 09 2005 - Jul 07 2013

India

PHD

Publications

Harshita Chopra, Aniket Vashishtha, Ridam Pal, null null, Ananya Tyagi, Tavpritesh Sethi
Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study. JMIR infodemiology 3 (2023)
Harshita Chopra, Aniket Vashishtha, Ridam Pal, null null, Ananya Tyagi, Tavpritesh Sethi
Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study. JMIR infodemiology 3 (2023)
Ridam Pal, Harshita Chopra, Raghav Awasthi, Harsh Bandhey, Aditya Nagori, Tavpritesh Sethi
Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study. Journal of medical Internet research 24 (11) (2022)
Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, Nitisha Shrivastava, Richa Virmani, Tavpritesh Sethi
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19. Pathogens (Basel, Switzerland) 10 (8) (2021)
Indra Prakash Jha, Raghav Awasthi, Ajit Kumar, Vibhor Kumar, Tavpritesh Sethi
Learning the Mental Health Impact of COVID-19 in the United States With Explainable Artificial Intelligence: Observational Study. JMIR mental health 8 (4) (2021)
Aditya Nagori, Lovedeep Singh Dhingra, Ambika Bhatnagar, Rakesh Lodha, Tavpritesh Sethi
Predicting Hemodynamic Shock from Thermal Images using Machine Learning. Scientific reports 9 (1) (2019)