Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

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Showing 2248-2268 of 6,181 articles
Adaptive multinomial regression with overlapping groups for multi-class classification of lung cancer.

Multi-class classification has attracted much attention in cancer diagnosis and treatment and many m...

2.5-Dimensional Parylene C micropore array with a large area and a high porosity for high-throughput particle and cell separation.

Large-area micropore arrays with a high porosity are in high demand because of their promising poten...

Machine-learning in grading of gliomas based on multi-parametric magnetic resonance imaging at 3T.

OBJECTIVE: The objective of this study was to assess the contribution of multi-parametric (mp) magne...

Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network.

In magnetic resonance imaging (MRI), the acquired images are usually not of high enough resolution d...

Predicting human protein function with multi-task deep neural networks.

Machine learning methods for protein function prediction are urgently needed, especially now that a ...

Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks.

Environmental sustainability research is dependent on accurate land cover information. Even with the...

Characterizing the SEMG patterns with myofascial pain using a multi-scale wavelet model through machine learning approaches.

In this paper, we introduce a newly developed multi-scale wavelet model for the interpretation of su...

Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension,...

Classification of Sputum Sounds Using Artificial Neural Network and Wavelet Transform.

Sputum sounds are biological signals used to evaluate the condition of sputum deposition in a respir...

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic re...

Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification.

This paper proposes a novel methodology for automatic detection and localization of gastrointestinal...

Machine Learning for Outcome Prediction in Electroencephalograph (EEG)-Monitored Children in the Intensive Care Unit.

The aim of this study was to evaluate the performance of models predicting in-hospital mortality in ...

Ultra-protective mechanical ventilation without extra-corporeal carbon dioxide removal for acute respiratory distress syndrome.

BACKGROUND: Tidal hyperinflation can still occur with mechanical ventilation using low tidal volume ...

Multi-target drug repositioning by bipartite block-wise sparse multi-task learning.

BACKGROUND: Finding potential drug targets is a crucial step in drug discovery and development. Rece...

Replicating human expertise of mechanical ventilation waveform analysis in detecting patient-ventilator cycling asynchrony using machine learning.

BACKGROUND: - Acute respiratory failure is one of the most common problems encountered in intensive ...

Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.

Increasing learning ability from massive medical data and building learning methods robust to data q...

Creating Clinical Fuzzy Automata with Fuzzy Arden Syntax.

Formal constructs for fuzzy sets and fuzzy logic are incorporated into Arden Syntax version 2.9 (Fuz...

Prediction and early detection of delirium in the intensive care unit by using heart rate variability and machine learning.

OBJECTIVE: Delirium is an important syndrome found in patients in the intensive care unit (ICU), how...

Healthcare-associated ventriculitis and meningitis in a neuro-ICU: Incidence and risk factors selected by machine learning approach.

PURPOSE: To define the incidence of healthcare-associated ventriculitis and meningitis (HAVM) in the...

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