Tavpritesh Sethi

About Tavpritesh Sethi

Tavpritesh Sethi, With an exceptional h-index of 19 and a recent h-index of 18 (since 2020), a distinguished researcher at Indraprastha Institute of Information Technology, specializes in the field of AI/ML for Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling the impact of social determinants of health and public health interventions

Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study

A Graph Embedding Approach for Deciphering the Longitudinal Associations of Global Mobility and COVID-19 Cases

Bias Amplification in Intersectional Subpopulations for Clinical Phenotyping by Large Language Models

Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States

B. Tech project in entrepreneurship track in web3 domain atom DAO

RealWorld clinical data synthesis using generative AI

A call for citizen science in pandemic preparedness and response: beyond data collection

Tavpritesh Sethi Information

University

Position

Assistant Professor in Computational Biology

Citations(all)

1891

Citations(since 2020)

1291

Cited By

981

hIndex(all)

19

hIndex(since 2020)

18

i10Index(all)

34

i10Index(since 2020)

29

Email

University Profile Page

Indraprastha Institute of Information Technology

Google Scholar

View Google Scholar Profile

Tavpritesh Sethi Skills & Research Interests

AI/ML for Healthcare

Top articles of Tavpritesh Sethi

Title

Journal

Author(s)

Publication Date

Modeling the impact of social determinants of health and public health interventions

Phillip Ma

Yijun Shao

Yan Cheng

Youxuan Ling

Qing Zeng-Treitler

...

2022/6/11

Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study

JMIR infodemiology

Harshita Chopra

Aniket Vashishtha

Ridam Pal

Ashima Ashima

Ananya Tyagi

...

2023/5/2

A Graph Embedding Approach for Deciphering the Longitudinal Associations of Global Mobility and COVID-19 Cases

medRxiv

Raghav Awasthi

Meet Modi

Hardik Dudeja

Tanav Bajaj

Shruti Rastogi

...

2023/4/3

Bias Amplification in Intersectional Subpopulations for Clinical Phenotyping by Large Language Models

medRxiv

Ridam Pal

Hardik Garg

Shashwat Patel

Tavpritesh Sethi

2023/3/25

Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States

arXiv preprint arXiv:2306.13954

Ridam Pal

Deepak Mahto

Kriti Agrawal

Gopal Mengi

Sargun Nagpal

...

2023/6/24

B. Tech project in entrepreneurship track in web3 domain atom DAO

Tanishk Goyal

Shivam Agrawal

Tavpritesh Sethi

2022

RealWorld clinical data synthesis using generative AI

Raghav Bhalla

Ritesh Panwar

Tavpritesh Sethi

2022

A call for citizen science in pandemic preparedness and response: beyond data collection

Yi-Roe Tan

Anurag Agrawal

Malebona Precious Matsoso

Rebecca Katz

Sara LM Davis

...

2022/6/1

Serial visualization of Glucose-insulin metabolism in thin young Indians with prediabetes reveals early failure of beta cell secretion in relation to decreasing insulin sensitivity

medRxiv

Pradeep Tiwari

Sanat Phatak

Souvik Bandopadhyay

Tavpritesh Sethi

Caroline HD Fall

...

2022/10/15

Single-cell multiomics revealed the dynamics of antigen presentation, immune response and T cell activation in the COVID-19 positive and recovered individuals

Frontiers in Immunology

Partha Chattopadhyay

Kriti Khare

Manish Kumar

Pallavi Mishra

Alok Anand

...

2022/12/2

Applications of language models and their biasness in clinical datasets

Hardik Garg

Tavpritesh Sethi

2022

Resource allocation using reinforcement learning

Shriya Srinivasan

Vaibhav Girish

Tavpritesh Sethi

2022

Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning. Front. Genet. 13: 858252. doi: 10.3389/fgene. 2022.858252

Frontiers in Genetics| www. frontiersin. org

S Nagpal

R Pal

Tyagi A Ashima

S Tripathi

A Nagori

...

2022/4/8

Early prediction of hypothermia in pediatric intensive care units using machine learning

Frontiers in Physiology

Pradeep Singh

Aditya Nagori

Rakesh Lodha

Tavpritesh Sethi

2022/9/2

Heart Rate Assessment in a Pediatric ICU with Non-Contact Infrared Thermography and Machine Learning

medRxiv

Amandeep Kaur

Samyak Prajapati

Pradeep Singh

Aditya Nagori

Rakesh Lodha

...

2022/11/18

Decentralized federated learning in wireless networks

Pooja Kumari

Ranjitha Prasad

2022

Remedium-a platform to connect doctors, insurance and patients

Utkarsh Sharma

Tavpritesh Sethi

2022

COVID-19 Risk Stratification and Mortality Prediction in Hospitalized Indian Patients: Harnessing clinical data for public health benefits

PLoS One

Shanmukh Alle

Akshay Kanakan

Samreen Siddiqui

Akshit Garg

Akshaya Karthikeyan

...

2022/3/17

Heart rate variability during head‐up tilt shows inter‐individual differences among healthy individuals of extreme Prakriti types

Physiological Reports

Ritu Rani

Prathiban Rengarajan

Tavpritesh Sethi

Bharat Krushna Khuntia

Arvind Kumar

...

2022/9

Predicting emerging themes in rapidly expanding COVID-19 literature with unsupervised word embeddings and machine learning: evidence-based study

Journal of medical Internet research

Ridam Pal

Harshita Chopra

Raghav Awasthi

Harsh Bandhey

Aditya Nagori

...

2022/11/2

See List of Professors in Tavpritesh Sethi University(Indraprastha Institute of Information Technology)