R
Ramakanth Kavuluru
Researcher at University of Kentucky
Publications - 92
Citations - 2229
Ramakanth Kavuluru is an academic researcher from University of Kentucky. The author has contributed to research in topics: Relationship extraction & Named-entity recognition. The author has an hindex of 23, co-authored 92 publications receiving 1517 citations. Previous affiliations of Ramakanth Kavuluru include National Institutes of Health & Wright State University.
Papers
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Proceedings ArticleDOI
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces.
Anthony Rios,Ramakanth Kavuluru +1 more
TL;DR: This paper develops few- and zero-shot methods for multi-label text classification when there is a known structure over the label space, and evaluates them on two publicly available medical text datasets: MIMIC II and MIMic III.
Proceedings ArticleDOI
Convolutional neural networks for biomedical text classification: application in indexing biomedical articles
Anthony Rios,Ramakanth Kavuluru +1 more
TL;DR: This paper uses convolutional neural networks to build binary text classifiers and achieves an absolute improvement of over 3% in macro F-score over a set of selected hard-to-classify MeSH terms when compared with the best prior results on a public dataset.
Journal ArticleDOI
An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records
TL;DR: It is shown that datasets at different scale (size of the EMRs, number of distinct codes) and with different characteristics warrant different learning approaches, and that the binary relevance approach with learning-to-rank based code reranking offers the best performance.
Journal ArticleDOI
On the popularity of the USB flash drive-shaped electronic cigarette Juul.
TL;DR: Initial observations of recent Juul-related messages on two different social networks (Twitter and Reddit) and traditional media are described to describe initial observations of the e-cigarette device's popularity and its impact on traditional media.
Journal ArticleDOI
Characterizing Long COVID: Deep Phenotype of a Complex Condition
Rachel R Deer,Madeline A Rock,Nicole Vasilevsky,Leigh C. Carmody,Halie M. Rando,Alfred J. Anzalone,Marc D. Basson,Tellen D. Bennett,Timothy Bergquist,Eilis A. Boudreau,Carolyn T. Bramante,James Brian Byrd,Tiffany J. Callahan,Lauren E Chan,Haitao Chu,Christopher G. Chute,Ben Coleman,Hannah E. Davis,Joel J. Gagnier,Casey S. Greene,William B. Hillegass,Ramakanth Kavuluru,Wesley Kimble,Farrukh M. Koraishy,Sebastian Köhler,Chen Liang,Feifan Liu,Hongfang Liu,Vithal Madhira,Charisse R. Madlock-Brown,Nicolas Matentzoglu,Diego R. Mazzotti,Julie A. McMurry,Douglas S McNair,Richard A. Moffitt,Teshamae S. Monteith,Ann M. Parker,Mallory A Perry,Emily R. Pfaff,Justin T. Reese,Joel H. Saltz,Robert A Schuff,Anthony Solomonides,Julian Solway,Heidi Spratt,Gary S. Stein,Anupam A Sule,Umit Topaloglu,George D. Vavougios,Liwei Wang,Melissa Haendel,Peter N. Robinson +51 more
TL;DR: In this article, the authors identified 303 articles published before April 29, 2021, curated 59 relevant manuscripts that described clinical manifestations in 81 cohorts three weeks or more following acute COVID-19, and mapped 287 unique clinical findings to HPO terms.