J Mark Ansermino
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Explore the profile of J Mark Ansermino including associated specialties, affiliations and a list of published articles.
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210
Citations
1972
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Recent Articles
1.
Ansermino J, Pillay Y, Tagoola A, Zhang C, Dunsmuir D, Kamau S, et al.
PLOS Digit Health
. 2025 Mar;
4(3):e0000466.
PMID: 40063663
Sepsis occurs predominantly in low-middle-income countries. Sub-optimal triage contributes to poor early case recognition and outcomes from sepsis. Improved recognition and quality of care can lead to improved outcomes. We...
2.
Tennant R, Graham J, Kern J, Mercer K, Ansermino J, Burns C
NPJ Digit Med
. 2024 Dec;
7(1):353.
PMID: 39633080
This scoping review evaluates recent advancements in data-driven technologies for predicting non-neonatal pediatric sepsis, including artificial intelligence, machine learning, and other methodologies. Of the 27 included studies, 23 (85%) were...
3.
Hwang B, Trawin J, Dzelamunyuy S, Wiens M, Tagoola A, Businge S, et al.
Pediatr Emerg Care
. 2024 Nov;
41(2):94-103.
PMID: 39499115
Objectives: Each year, 5.3 million children under 5 years of age die in low-resource settings, often due to delayed recognition of disease severity, inadequate treatment, or a lack of supplies....
4.
Pillay Y, Ngonzi J, Nguyen V, Payne B, Komugisha C, Twinomujuni A, et al.
PLOS Glob Public Health
. 2024 Aug;
4(8):e0003458.
PMID: 39110697
Sub-Saharan Africa accounts for two-thirds of the global burden of maternal and newborn deaths. Adverse outcomes among postpartum women and newborns occurring in the first six weeks of life are...
5.
Kamau S, Kigo J, Mwaniki P, Dunsmuir D, Pillay Y, Zhang C, et al.
PLOS Digit Health
. 2024 Aug;
3(8):e0000408.
PMID: 39088404
Several triage systems have been developed, but little is known about their performance in low-resource settings. Evaluating and comparing novel triage systems to existing triage scales provides essential information about...
6.
Zhang C, Wiens M, Dunsmuir D, Pillay Y, Huxford C, Kimutai D, et al.
PLOS Digit Health
. 2024 Jul;
3(7):e0000311.
PMID: 38949998
Infectious diseases in neonates account for half of the under-five mortality in low- and middle-income countries. Data-driven algorithms such as clinical prediction models can be used to efficiently detect critically...
7.
Kigo J, Kamau S, Mawji A, Mwaniki P, Dunsmuir D, Pillay Y, et al.
PLOS Digit Health
. 2024 Jun;
3(6):e0000293.
PMID: 38905166
Models for digital triage of sick children at emergency departments of hospitals in resource poor settings have been developed. However, prior to their adoption, external validation should be performed to...
8.
Huxford C, Rafiei A, Nguyen V, Wiens M, Ansermino J, Kissoon N, et al.
Pediatr Crit Care Med
. 2024 Jun;
25(11):1047-1050.
PMID: 38904442
The aim of this "Technical Note" is to inform the pediatric critical care data research community about the "2024 Pediatric Sepsis Data Challenge." This competition aims to facilitate the development...
9.
Wiens M, Nguyen V, Bone J, Kumbakumba E, Businge S, Tagoola A, et al.
PLOS Glob Public Health
. 2024 Apr;
4(4):e0003050.
PMID: 38683787
In many low-income countries, over five percent of hospitalized children die following hospital discharge. The lack of available tools to identify those at risk of post-discharge mortality has limited the...
10.
Wiens M, Trawin J, Pillay Y, Nguyen V, Komugisha C, Kenya-Mugisha N, et al.
Front Epidemiol
. 2024 Mar;
3:1233323.
PMID: 38455948
Introduction: In low-income country settings, the first six weeks after birth remain a critical period of vulnerability for both mother and newborn. Despite recommendations for routine follow-up after delivery and...