The pathogenesis of sepsis
DJ Stearns-Kurosawa, MF Osuchowski… - Annual review of …, 2011 - annualreviews.org
Sepsis is a serious clinical condition that represents a patient's response to a severe
infection and has a very high mortality rate. Normal immune and physiologic responses …
infection and has a very high mortality rate. Normal immune and physiologic responses …
[HTML][HTML] Clinical applications of artificial intelligence in sepsis: a narrative review
M Schinkel, K Paranjape, RSN Panday… - Computers in biology …, 2019 - Elsevier
Many studies have been published on a variety of clinical applications of artificial
intelligence (AI) for sepsis, while there is no overview of the literature. The aim of this review …
intelligence (AI) for sepsis, while there is no overview of the literature. The aim of this review …
What is machine learning? A primer for the epidemiologist
Q Bi, KE Goodman, J Kaminsky… - American journal of …, 2019 - academic.oup.com
Abstract Machine learning is a branch of computer science that has the potential to transform
epidemiologic sciences. Amid a growing focus on “Big Data,” it offers epidemiologists new …
epidemiologic sciences. Amid a growing focus on “Big Data,” it offers epidemiologists new …
[HTML][HTML] State of the art of machine learning–enabled clinical decision support in intensive care units: literature review
N Hong, C Liu, J Gao, L Han, F Chang… - JMIR medical …, 2022 - medinform.jmir.org
Background Modern clinical care in intensive care units is full of rich data, and machine
learning has great potential to support clinical decision-making. The development of …
learning has great potential to support clinical decision-making. The development of …
Artificial intelligence in emergency medicine: a scoping review
Introduction Despite the growing investment in and adoption of artificial intelligence (AI) in
medicine, the applications of AI in an emergency setting remain unclear. This scoping …
medicine, the applications of AI in an emergency setting remain unclear. This scoping …
The association of sepsis syndrome and organ dysfunction with mortality in emergency department patients with suspected infection
STUDY OBJECTIVE: The critical care community has used standard criteria for defining the
sepsis syndromes and organ dysfunction for more than 15 years; however, these criteria are …
sepsis syndromes and organ dysfunction for more than 15 years; however, these criteria are …
Prediction of emergency department hospital admission based on natural language processing and neural networks
Objective: To describe and compare logistic regression and neural network modeling
strategies to predict hospital admission or transfer following initial presentation to …
strategies to predict hospital admission or transfer following initial presentation to …
A comparison of intensive care unit mortality prediction models through the use of data mining techniques
Objectives The intensive care environment generates a wealth of critical care data suited to
developing a well-calibrated prediction tool. This study was done to develop an intensive …
developing a well-calibrated prediction tool. This study was done to develop an intensive …
Shock index as a predictor of mortality among the Covid-19 patients
2.1. Study design This retrospective observational study was conducted with patients who
presented to the ED of a tertiary hospital between April 1, 2020 and May 31, 2020 and were …
presented to the ED of a tertiary hospital between April 1, 2020 and May 31, 2020 and were …
Machine learning techniques to examine large patient databases
G Meyfroidt, F Güiza, J Ramon… - Best Practice & Research …, 2009 - Elsevier
Computerization in healthcare in general, and in the operating room (OR) and intensive care
unit (ICU) in particular, is on the rise. This leads to large patient databases, with specific …
unit (ICU) in particular, is on the rise. This leads to large patient databases, with specific …