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

Abraham Bautista-Castillo

University of Houston

ORCID: 0000-0001-7661-3522
MedicineComputer 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 4 papers. Top paper: “AI-MET: A Deep Learning-based Clinical Decision Support System for Distinguishing Multisystem Inflammatory Syndrome in Children from Endemic Typhus”.

AI-MET: A Deep Learning-based Clinical Decision Support System for Distinguishing Multisystem Inflammatory Syndrome in Children from Endemic Typhus

medRxiv(2023)10.1101/2023.06.15.23291453
N/A
0DataRank · unranked
1 citations

Angela Chun, Tiphanie P. Vogel, Ioannis A. Kakadiaris, Abraham Bautista-Castillo

AI-HEAT: A Clinical Decision Support System for Pediatrics Febrile Conditions

(2024)10.1109/bhi62660.2024.10913763
N/A
0DataRank · unranked
0 citations

Rocio A. Padilla-Medina, Jessica Nguyen, Chisato Shimizu, Adriana H. Tremoulet, Jane C. Burns +4 more

AI-MET: A deep learning-based clinical decision support system for distinguishing multisystem inflammatory syndrome in children from endemic typhus

Computers in Biology and Medicine(2025)10.1016/j.compbiomed.2025.109815
N/A
0DataRank · unranked
2 citations

Angela Chun, Tiphanie P. Vogel, Ioannis A. Kakadiaris, Abraham Bautista-Castillo

Distinguishing Multisystem Inflammatory Syndrome in Children From Typhus Using Artificial Intelligence: MIS-C Versus Endemic Typhus (AI-MET)

The Journal of Infectious Diseases(2025)10.1093/infdis/jiaf004
N/A
0DataRank · unranked
0 citations

Abraham Bautista-Castillo, Isabella Osuna, Kristiana Nasto, Flor M. Muñoz, Gordon E. Schutze +7 more