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Charisse R. Madlock-Brown
Researcher at University of Tennessee Health Science Center
Publications - 26
Citations - 314
Charisse R. Madlock-Brown is an academic researcher from University of Tennessee Health Science Center. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 5, co-authored 10 publications receiving 73 citations. Previous affiliations of Charisse R. Madlock-Brown include University of Tennessee & University of Iowa.
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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.
Journal ArticleDOI
The (lack of) Impact of Retraction on Citation Networks
TL;DR: An analysis of recent retraction patterns, with a unique emphasis on the role author self-cites play, to assist the scientific community in creating counter-strategies is presented.
Journal ArticleDOI
Generalisable long COVID subtypes: Findings from the NIH N3C and RECOVER programmes
J. Reese,Hannah Blau,Elena Casiraghi,Timothy Bergquist,Johanna Loomba,Tiffany J. Callahan,Bryan Laraway,Corneliu C. Antonescu,B. Coleman,Michael A. Gargano,Kenneth J. Wilkins,Luca Cappelletti,Tommaso Fontana,Nariman Ammar,Blessy Antony,T. M. Murali,J. Harry Caufield,Guy Karlebach,Julie A. McMurry,Andrew E. Williams,Richard A. Moffitt,Jineta Banerjee,Anthony Solomonides,Hannah Davis,Kristin Kostka,Giorgio Valentini,David Sahner,Christopher G. Chute,Charisse R. Madlock-Brown,Melissa A. Haendel,Peter N. Robinson,Heidi Spratt,Shyam Visweswaran,Joseph E. Flack,Yung Jae Yoo,Davera Gabriel,G. Caleb Alexander,Hemalkumar B. Mehta,Feifan Liu,Robert T. Miller,R. Wong,Elaine Hill,Lorna E. Thorpe,Jasmin Divers +43 more
TL;DR: In this article , a nonlinear similarity function is defined to map from a feature space of phenotypic abnormalities to a matrix of pairwise patient similarity that can be clustered using unsupervised machine learning.
Journal ArticleDOI
Coding Long COVID: Characterizing a new disease through an ICD-10 lens
Emily R. Pfaff,Charisse R. Madlock-Brown,John M. Baratta,Abhishek Bhatia,Hannah Davis,Andrew T. Girvin,Elaine Hill,Liz Kelly,Kristin Kostka,Johanna Loomba,Julie A. McMurry,R. Wong,Tellen D. Bennett,Richard A. Moffitt,Christopher G. Chute,Melissa A. Haendel +15 more
TL;DR: In this article , the authors leverage the largest publicly available HIPAA-limited dataset about patients with COVID-19 in the US to examine the heterogeneity of adoption and use of U09.9.
Journal ArticleDOI
Coding long COVID: characterizing a new disease through an ICD-10 lens
Emily R. Pfaff,Charisse R. Madlock-Brown,John M. Baratta,Abhishek Bhatia,Hannah Davis,Andrew T. Girvin,Elaine Hill,Elizabeth Kelly,Kristin Kostka,Johanna Loomba,Julie A. McMurry,R. Wong,Tellen D. Bennett,Richard A. Moffitt,Christopher G. Chute,Melissa A. Haendel +15 more
TL;DR: In this article , the authors leverage the largest publicly available HIPAA-limited dataset about patients with COVID-19 in the US to examine the heterogeneity of adoption and use of U09.9.