🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Tanvi Banerjee

Wright State University

ORCID: 0000-0002-9794-3755
MedicineSocial SciencesComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “Using Machine Learning to Train a Wearable Device for Measuring Students’ Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use”.

Using Machine Learning to Train a Wearable Device for Measuring Students’ Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use

Sensors(2020)10.3390/s20174833
N/A
0DataRank · unranked
60 citations

Noah L. Schroeder, Josephine Graft, Fan Yang, Reza Sadeghi, Mahdieh Zabihimayvan +3 more

Predicting Early Indicators of Cognitive Decline from Verbal Utterances

Journal of Bioresource Management(2020)10.1109/bibm49941.2020.9313106
N/A
0DataRank · unranked
0 citations

Anurag Illendula, Megan Sadler, Valerie L. Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan +2 more

Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease

PLoS Computational Biology(2021)10.1371/journal.pcbi.1008542
N/A
0DataRank · unranked
13 citations

Daniel M. Abrams, Fan Yang, Tanvi Banerjee, Nirmish Shah, Mark J. Panaggio

Improving Pain Assessment Using Vital Signs and Pain Medication for Patients With Sickle Cell Disease: Retrospective Study

JMIR Formative Research(2022)10.2196/36998
N/A
0DataRank · unranked
5 citations

Gary K. Nave, Tanvi Banerjee, Daniel M. Abrams, Nirmish Shah, Swati Padhee

Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization

arXiv (Cornell University)(2022)10.48550/arxiv.2204.00797
N/A
0DataRank · unranked
2 citations

Tanvi Banerjee, Krishnaprasad Thirunarayan, Mia Cajita, Amanuel Alambo

Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure

arXiv (Cornell University)(2022)10.25417/uic.21707306.v1
N/A
0DataRank · unranked
0 citations

Krishnaprasad Thirunarayan, William L. Romine, Amanuel Alambo, Mia Cajita, Tanvi Banerjee +1 more

Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure

arXiv (Cornell University)(2023)10.48550/arxiv.2305.19373
N/A
0DataRank · unranked
0 citations

Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita +1 more

Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction

arXiv (Cornell University)(2023)10.48550/arxiv.2310.06075
N/A
0DataRank · unranked
0 citations

Tanvi Banerjee, Daniel M. Abrams, Nirmish Shah, Swati Padhee

Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications

arXiv (Cornell University)(2024)10.48550/arxiv.2411.10544
N/A
0DataRank · unranked
0 citations

Tanvi Banerjee, William L. Romine, Mia Cajita, Ankita Agarwal