Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review
Introduction Since the beginning of the COVID-19 pandemic, numerous machine and deep
learning (MDL) methods have been proposed in the literature to analyze patient …
learning (MDL) methods have been proposed in the literature to analyze patient …
Cross-domain visual prompting with spatial proximity knowledge distillation for histological image classification
Objective: Histological classification is a challenging task due to the diverse appearances,
unpredictable variations, and blurry edges of histological tissues. Recently, many …
unpredictable variations, and blurry edges of histological tissues. Recently, many …
Uncertainty-aware trustworthy weather-driven failure risk predictor for overhead contact lines
Overhead contact lines (OCLs) are electric transmission lines that power railways, which are
constantly threatened by external weather and environmental factors due to their outdoor …
constantly threatened by external weather and environmental factors due to their outdoor …
Mechanical ventilation intervention based on machine learning from vital signs monitoring: a scoping review
MR Baidillah, P Busono, R Riyanto - Measurement Science and …, 2023 - iopscience.iop.org
Asynchronous breathing (AB) during mechanical ventilation (MV) may lead to a detrimental
effect on the patient's condition. Due to the massive amount of data displayed in a large ICU …
effect on the patient's condition. Due to the massive amount of data displayed in a large ICU …
[HTML][HTML] A simulation model for predicting hospital occupancy for Covid-19 using archetype analysis
COVID-19 pandemic has sent millions of people to hospitals worldwide, exhausting on
many occasions the capacity of healthcare systems to provide care patients required to …
many occasions the capacity of healthcare systems to provide care patients required to …
Predicting multiple sclerosis severity with multimodal deep neural networks
Multiple Sclerosis (MS) is a chronic disease developed in the human brain and spinal cord,
which can cause permanent damage or deterioration of the nerves. The severity of MS …
which can cause permanent damage or deterioration of the nerves. The severity of MS …
Artificial neural network based prediction of the lung tissue involvement as an independent in‐hospital mortality and mechanical ventilation risk factor in COVID‐19
M Parczewski, J Kufel, B Aksak‐Wąs… - Journal of Medical …, 2023 - Wiley Online Library
Introduction During COVID‐19 pandemic, artificial neural network (ANN) systems have been
providing aid for clinical decisions. However, to achieve optimal results, these models …
providing aid for clinical decisions. However, to achieve optimal results, these models …
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
The accurate segmentation of clustered microcalcifications in mammography is crucial for
the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy …
the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy …
Machine learning algorithm for ventilator mode selection, pressure and volume control
Mechanical ventilation techniques are vital for preserving individuals with a serious
condition lives in the prolonged hospitalization unit. Nevertheless, an imbalance amid the …
condition lives in the prolonged hospitalization unit. Nevertheless, an imbalance amid the …
[HTML][HTML] Predicting Severe Respiratory Failure in Patients with COVID-19: A Machine Learning Approach
B Ceylan, O Olmuşçelik, B Karaalioğlu… - Journal of Clinical …, 2024 - mdpi.com
Background/Objectives: Studies attempting to predict the development of severe respiratory
failure in patients with a COVID-19 infection using machine learning algorithms have yielded …
failure in patients with a COVID-19 infection using machine learning algorithms have yielded …