AI-enabled solutions, explainability and ethical concerns for predicting sepsis in ICUs: a systematic review
Artificial Intelligence (AI) advances are pushing the boundaries across research domains
with AI-driven solutions in healthcare claiming a significant share. A key objective of these …
with AI-driven solutions in healthcare claiming a significant share. A key objective of these …
Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study
U Aguirre, E Urrechaga - Clinical Chemistry and Laboratory …, 2023 - degruyter.com
Objectives To compare the artificial intelligence algorithms as powerful machine learning
methods for evaluating patients with suspected sepsis using data from routinely available …
methods for evaluating patients with suspected sepsis using data from routinely available …
[PDF][PDF] AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview
Artificial intelligence (AI) is increasingly applied in a wide range of healthcare and Intensive
Care Unit (ICU) areas to serve—among others—as a tool for disease detection and …
Care Unit (ICU) areas to serve—among others—as a tool for disease detection and …
Absorption of echo signal for underwater acoustic signal target system using hybrid of ensemble empirical mode with machine learning techniques
Underwater acoustic sensor signal processing relies on sound absorption of underwater
acoustic energy. Echo absorption of underwater acoustic waves is a challenging area …
acoustic energy. Echo absorption of underwater acoustic waves is a challenging area …