Hospital-Based Medicine

Intensivists

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

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Multi-modal vertebrae recognition using Transformed Deep Convolution Network.

Automatic vertebra recognition, including the identification of vertebra locations and naming in mul...

An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation.

This paper proposes a new formulation for the multi-objective optimal power flow (MOOPF) problem for...

Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition.

This paper proposes a hierarchical clustering multi-task learning (HC-MTL) method for joint human ac...

Natural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICU.

OBJECTIVES: Discharging patients from the Neonatal Intensive Care Unit (NICU) can be delayed for non...

A multi-layer network approach to MEG connectivity analysis.

Recent years have shown the critical importance of inter-regional neural network connectivity in sup...

Enhancement of finger motion range with compliant anthropomorphic joint design.

Robotic researchers have been greatly inspired by the human hand in the search to design and build a...

Multi-instance multi-label distance metric learning for genome-wide protein function prediction.

Multi-instance multi-label (MIML) learning has been proven to be effective for the genome-wide prote...

Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

OBJECTIVES: Predictive analytics in emergency care has mostly been limited to the use of clinical de...

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.

In general image recognition problems, discriminative information often lies in local image patches....

Biomechanical and Physiological Evaluation of Multi-Joint Assistance With Soft Exosuits.

To understand the effects of soft exosuits on human loaded walking, we developed a reconfigurable mu...

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.

As shown in the literature, methods based on multiple templates usually achieve better performance, ...

Heat shock protein A12B protects against sepsis-induced impairment in vascular endothelial permeability.

BACKGROUND: As a common and life-threatening infectious syndrome, sepsis contributes significantly t...

Neural Network Prediction of ICU Length of Stay Following Cardiac Surgery Based on Pre-Incision Variables.

BACKGROUND: Advanced predictive analytical techniques are being increasingly applied to clinical ris...

Endemicity of Acinetobacter calcoaceticus-baumannii Complex in an Intensive Care Unit in Malaysia.

Introduction. Acinetobacter calcoaceticus-baumannii complex (ACB complex) is a leading opportunistic...

Multi-view L2-SVM and its multi-view core vector machine.

In this paper, a novel L2-SVM based classifier Multi-view L2-SVM is proposed to address multi-view c...

Serial change of C1 inhibitor in patients with sepsis--a preliminary report.

OBJECTIVE: C1 inhibitor (C1INH) regulates not only the complement system but also the plasma kallikr...

Herpes simplex virus in bronchoalveolar lavage fluid of medical intensive care unit patients: Association with lung injury and outcome.

PURPOSE: In intensive care unit (ICU) patients in whom bronchoalveolar lavage fluid (BALF) was analy...

Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

Multi-marker approaches have received a lot of attention recently in genome wide association studies...

Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System.

In healthcare organizations, clinical workflows are executed by interdisciplinary healthcare teams (...

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