Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection.

Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection.

BACKGROUND:Dengue, chikungunya, and Zika are arboviruses of major global health concern. Decisions regarding the clinical management of suspected arboviral infection are challenging in resource-limited settings, particularly when deciding on patient hospitalization. The objective of this study was t...

Full description

Saved in:
Bibliographic Details
Main Authors: Rachel Sippy (Author), Daniel F Farrell (Author), Daniel A Lichtenstein (Author), Ryan Nightingale (Author), Megan A Harris (Author), Joseph Toth (Author), Paris Hantztidiamantis (Author), Nicholas Usher (Author), Cinthya Cueva Aponte (Author), Julio Barzallo Aguilar (Author), Anthony Puthumana (Author), Christina D Lupone (Author), Timothy Endy (Author), Sadie J Ryan (Author), Anna M Stewart Ibarra (Author)
Format: Book
Published: Public Library of Science (PLoS), 2020-02-01T00:00:00Z.
Subjects:
article
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

Connect to this object online.

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available

Similar Items