Sepsis and acute respiratory failure in patients with cancer: how can we improve care and outcomes even further?

PG Lyons, CA McEvoy… - Current Opinion in Critical …, 2023 - journals.lww.com
Sepsis and acute respiratory failure in patients with cancer... : Current Opinion in Critical Care
Sepsis and acute respiratory failure in patients with cancer: how can we improve care and …

Advanced biomarker clustering analysis reveals mortality predictors in burn patients with sepsis

J Yoon, D Kym, YS Cho, J Hur, D Yoon - Scientific Reports, 2024 - nature.com
This study addresses the challenge of predicting mortality in sepsis among burn patients.
Given the heterogeneity of sepsis, especially in the context of burn injuries, this study aims to …

Exploring long-term breast cancer survivors' care trajectories using dynamic time war**-based unsupervised clustering

A Giannoula, M Comas, X Castells… - Journal of the …, 2024 - academic.oup.com
Objectives Long-term breast cancer survivors (BCS) constitute a complex group of patients,
whose number is estimated to continue rising, such that, a dedicated long-term clinical …

The Precision Resuscitation With Crystalloids in Sepsis (PRECISE) Trial: A Trial Protocol

SV Bhavani, A Holder, D Miltz… - JAMA Network …, 2024 - jamanetwork.com
Importance Intravenous fluids are an essential part of treatment in sepsis, but there remains
clinical equipoise on which type of crystalloid fluids to use in sepsis. A previously reported …

Novel cortisol trajectory sub-phenotypes in sepsis

F Leng, Z Gu, S Pan, S Lin, X Wang, M Zhong, J Song - Critical Care, 2024 - Springer
Background Sepsis is a heterogeneous syndrome. This study aimed to identify new sepsis
sub-phenotypes using plasma cortisol trajectory. Methods This retrospective study included …

[HTML][HTML] Clinical Subtype Trajectories in Sepsis Patients Admitted to the ICU: A Secondary Analysis of an Observational Study

MA Slim, RBE van Amstel, MCA Müller… - Critical Care …, 2024 - journals.lww.com
OBJECTIVES: Sepsis is an evolving process and proposed subtypes may change over time.
We hypothesized that previously established sepsis subtypes are dynamic, prognostic of …

Time Series Overlap** Clustering Based on Link Community Detection

Y Ghahremani, B Amiri - IEEE Access, 2024 - ieeexplore.ieee.org
Given the nature of time series and their vast applications, it is essential to find clustering
algorithms that depict their real-life properties. Among the features that can hugely effect the …

Deciphering Clinical Narratives-Augmented Intelligence for Decision Making in Healthcare Sector

L Dey, S Jana, T Dasgupta… - 2023 18th Conference on …, 2023 - ieeexplore.ieee.org
Clinical notes that describe details about diseases, symptoms, treatments, and observed
reactions of patients to them, are valuable resources to generate insights about the …

Machine Learning Based Acute Kidney Injury Sub-Phenoty** with Time Series Serum Creatinine Data

HY Chan, A Yu, M Liu - 2024 IEEE 12th International …, 2024 - ieeexplore.ieee.org
Acute Kidney injury (AKI) is a life-threatening clinical syndrome prevalent in hospitalized
patients and is associated with increased mortality and poor patient outcomes. The …

Informing ICU Digital Twins: Dynamic Assessment of Cardiorespiratory Failure Trajectories in Patients with Sepsis

GY Hou, A Lal, PJ Schulte, Y Dong, O Kilickaya… - Shock, 2023 - journals.lww.com
Understanding clinical trajectories of sepsis patients is crucial for prognostication, resource
planning, and to inform digital twin models of critical illness. This study aims to identify …