NT Liu, J Salinas - Shock, 2017 - journals.lww.com
To date, there are no reviews on machine learning (ML) for predicting outcomes in trauma. Consequently, it remains unclear as to how ML-based prediction models compare in the …
A Kareem, H Liu, P Sant - Human-Centric Intelligent Systems, 2022 - Springer
This paper surveys and examines how computer-aided techniques can be deployed in detecting pneumonia. It also suggests a hybrid model that can effectively detect pneumonia …
V Schetinin, L Jakaite, W Krzanowski - International journal of medical …, 2018 - Elsevier
Introduction For making reliable decisions, practitioners need to estimate uncertainties that exist in data and decision models. In this paper we analyse uncertainties of predicting …
Alert systems detect critical events which can happen in the short term. Uncertainties in data and in the models used for detection cause alert errors. In the case of air traffic control …
D Baur, T Gehlen, J Scherer, DA Back… - Frontiers in …, 2022 - frontiersin.org
Introduction Treating severely injured patients requires numerous critical decisions within short intervals in a highly complex situation. The coordination of a trauma team in this setting …
Nowadays, emergency department services are confronted to an increasing demand. This situation causes emergency department overcrowding which often increases the length of …
Q Li, Y Wang, Z Du, Q Li, W Zhang, F Zhong… - Expert Systems with …, 2024 - Elsevier
Accurate survival prediction is crucial for doctors to choose appropriate treatment options and make prognoses for gastric cancer patients. While machine learning algorithms have …
There are still problems in applications of Machine Learning for face recognition. Such factors as lighting conditions, head rotations, emotions, and view angles affect the …
Preoperative evaluation of the liver with hydatid cyst and surrounding tissue structures is extremely important for planning the course of surgery. The first experience of treating a …