A decision algorithm to promote outpatient antimicrobial stewardship for uncomplicated urinary tract infection-Reference-Cited by-同舟云学术

A decision algorithm to promote outpatient antimicrobial stewardship for uncomplicated urinary tract infection

Author:

Kanjilal Sanjat¹²^ORCID,Oberst Michael³^ORCID,Boominathan Sooraj³^ORCID,Zhou Helen⁴^ORCID,Hooper David C.⁵,Sontag David³^ORCID

Affiliation:

1. Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, MA 02215, USA.

2. Division of Infectious Diseases, Brigham and Women’s Hospital, Boston, MA 02115, USA.

3. Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

4. Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

5. Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA 02114, USA.

Abstract

Machine learning models for predicting antibiotic resistance could reduce the use of broad-spectrum antibiotics in urinary tract infection.

Funder

MGH-MIT Grand Challenges Award

KL2-CMeRIT

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Reference32 articles.

1. Ambulatory medical care utilization estimates for 2007;Schappert S. M.;Vital Health Stat.,2011

2. National hospital ambulatory medical care survey: 2007 emergency department summary;Niska R.;Natl. Health Stat. Rep.,2010

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