This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1147) Clinical Information and Decision Making (1340) Intensive Care Unit (ICU) (102)

Published on in Vol 8, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18352, first published .
Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology

Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology

Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology

Authors of this article:

Nazmus Sakib1 Author Orcid Image ;   Sheikh Iqbal Ahamed1 Author Orcid Image ;   Rumi Ahmed Khan2 Author Orcid Image ;   Paul M Griffin3 Author Orcid Image ;   Md Munirul Haque4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Nazmus Sakib   1 , MSc ;   Sheikh Iqbal Ahamed   1 , PhD ;   Rumi Ahmed Khan   2 , MD ;   Paul M Griffin   3 , PhD ;   Md Munirul Haque   4 , PhD

1 Ubicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, United States

2 College of Medicine, University of Central Florida, Orlando, FL, United States

3 Regenstrief Center for Healthcare Engineering, Purdue University, West Lafayette, IN, United States

4 RB Annis School of Engineering, University of Indianapolis, Indianapolis, IN, United States

Corresponding Author:

  • Nazmus Sakib, MSc
  • Ubicomp Lab
  • Department of Computer Science
  • Marquette University
  • 1313 W Wisconsin Ave
  • Milwaukee, WI, 53233
  • United States
  • Phone: 1 4147975981
  • Email: nazmus.sakib@marquette.edu