Sepsis, a critical condition marked by systemic inflammation, profoundly impacts both innate
and adaptive immunity, often resulting in lymphopenia. This immune alteration can spare …

Aim Artificial intelligence (AI) and machine learning (ML) are important areas of computer
science that have recently attracted attention for their application to medicine. However, as …

Sepsis, defined as the life-threatening dysregulated host response to an infection leading to
organ dysfunction, is considered as one of the leading causes of mortality worldwide …

Sepsis and trauma were the primary inciting events. With tremendous the advances in care
over the ensuing four decades, the epidemiology of MOF evolved from a fulminant …

Abstract The use of Artificial Intelligence (AI) within pathology and healthcare has advanced
extensively. We have accordingly witnessed increased adoption of various AI tools which …

Background Phenotypic classification is a method of grou** patients with similar
phenotypes. Aim We aimed to use phenotype classification based on a clustering process …

The clustering of categorical data is a common and important task in computer science,
offering profound implications across a spectrum of applications. Unlike purely numerical …

Background It is unknown whether new daily persistent headache (NDPH) is a single
disorder or heterogenous group of disorders, and whether it is a unique disorder from …

Objective Phenotypes are important for patient classification, disease prognostication, and
treatment customization. We aimed to identify distinct clinical phenotypes of children and …

Cardiovascular and renal conditions have both shared and distinct determinants. In this
study, we applied unsupervised clustering to multiple rounds of the National Health and …