Hospital-Based Medicine

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

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Showing 2941-2961 of 6,181 articles
Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Multimodal classification methods using different modalities of imaging and non-imaging data have re...

Level of adrenomedullin in cases with adrenal defficiency and its relation to mortality in patients with sepsis.

INTRODUCTION: The aim of this study was to determine the prognostic value of adrenomedullin, after e...

An asynchronous multi-view learning approach for activity recognition using wearables.

In this paper, we introduce an Asynchronous Multiview Learning (AML) approach to allow accurate tran...

Day-to-day variability in hybrid, passive brain-computer interfaces: comparing two studies assessing cognitive workload.

As hybrid, passive brain-computer interface systems become more advanced, it is important to grow ou...

EEG classification for motor imagery and resting state in BCI applications using multi-class Adaboost extreme learning machine.

Brain-computer interface (BCI) systems provide an alternative communication and control approach for...

[The influence of the sedation based on remifentanil analgesia on the occurrence of delirium in critically ill patients].

OBJECTIVE: To investigate the influence of the midazolam sedation based on remifentanil analgesia on...

[Reproduction of a model of "two-hit" sepsis model with complication of pneumonia in rat].

OBJECTIVE: To reproduce a clinically relevant "two-hit" model of sepsis complicated by pneumonia and...

[The value of passive leg raising test in predicting fluid responsiveness in patients with sepsis-induced cardiac dysfunction].

OBJECTIVE: To assess the value of passive leg raising (PLR) test in predicting fluid responsiveness ...

[Research on Early Identification of Bipolar Disorder Based on Multi-layer Perceptron Neural Network].

Multi-layer perceptron (MLP) neural network belongs to multi-layer feedforward neural network, and h...

[The blind source separation method based on self-organizing map neural network and convolution kernel compensation for multi-channel sEMG signals].

A new method based on convolution kernel compensation (CKC) for decomposing multi-channel surface el...

Dynamic partial reconfiguration implementation of the SVM/KNN multi-classifier on FPGA for bioinformatics application.

Bioinformatics data tend to be highly dimensional in nature thus impose significant computational de...

Multiple ocular diseases detection based on joint sparse multi-task learning.

In this paper, we present a multiple ocular diseases detection scheme based on joint sparse multi-ta...

A robo-pigeon based on an innovative multi-mode telestimulation system.

In this paper, we describe a new multi-mode telestimulation system for brain-microstimulation for th...

A label distance maximum-based classifier for multi-label learning.

Multi-label classification is useful in many bioinformatics tasks such as gene function prediction a...

Patient-specific early classification of multivariate observations.

Early classification of time series has been receiving a lot of attention recently. In this paper we...

A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.

Bipolar Disorder (BD) is a chronic and disabling disease that usually appears around 20 to 30 years ...

Multi-scale Convolutional Neural Networks for Lung Nodule Classification.

We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomograp...

Bodypart Recognition Using Multi-stage Deep Learning.

Automatic medical image analysis systems often start from identifying the human body part contained ...

Human Activity Recognition from Smart-Phone Sensor Data using a Multi-Class Ensemble Learning in Home Monitoring.

Home monitoring of chronically ill or elderly patient can reduce frequent hospitalisations and hence...

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