Intensivists

Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms.

BACKGROUND: Since early antimicrobial therapy is mandatory in septic patients, immediate diagnosis a...

Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome.

When training a machine learning algorithm for a supervised-learning task in some clinical applicati...

Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.

Accurate segmentation of perivascular spaces (PVSs) is an important step for quantitative study of P...

Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier.

Electronic health records (EHRs) contain critical information useful for clinical studies. Early ass...

Salient object detection based on multi-scale contrast.

Due to the development of deep learning networks, a salient object detection based on deep learning ...

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.

OBJECTIVES: We validate a machine learning-based sepsis-prediction algorithm () for the detection an...

Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the de...

Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework.

Most robot navigation systems perform place recognition using a single-sensor modality and one, or a...

Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.

BACKGROUND AND OBJECTIVE: In the biomedical field, digital multi-focal images are very important for...

Multi-label Deep Learning for Gene Function Annotation in Cancer Pathways.

The war on cancer is progressing globally but slowly as researchers around the world continue to see...

Multi-neuron intracellular recording in vivo via interacting autopatching robots.

The activities of groups of neurons in a circuit or brain region are important for neuronal computat...

Pharmacokinetics of dexmedetomidine during analgosedation in ICU patients.

Dexmedetomidine (DEX) is a fairly new alfa-agonist which has been increasingly used in recent years ...

Rapid screening and multi-toxin profile confirmation of tetrodotoxins and analogues in human body fluids derived from a puffer fish poisoning incident in New Caledonia.

In August 2014, a puffer fish poisoning incidence resulting in one fatality was reported in New Cale...

R-100 improves pulmonary function and systemic fluid balance in sheep with combined smoke-inhalation injury and Pseudomonas aeruginosa sepsis.

BACKGROUND: Septic shock is a major cause of death in intensive care units around the world . The ai...

What's new in ICU in 2050: big data and machine learning.

B-Type Natriuretic Peptide: A Predictor for Mortality, Intensive Care Unit Length of Stay, and Hospital Length of Stay in Patients With Resolving Sepsis.

BACKGROUND: B-type natriuretic peptide (BNP) is a hormone secreted by cardiomyocytes in response to ...

Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study.

Machine learning is a powerful tool that has previously been used to classify schizophrenia (SZ) pat...

Apolipoprotein A-I: A favorable prognostic marker in infective endocarditis.

BACKGROUND: Decreased apolipoprotein A-I (apoA-I) and high-density lipoprotein cholesterol (HDL-C) a...

Association Between Genotypes and Risk of Cardiovascular Disease in MESA (Multi-Ethnic Study of Atherosclerosis).

BACKGROUND: genetic variants confer an increased risk for kidney disease. Their associations with c...

A Large-Scale Multi-Hop Localization Algorithm Based on Regularized Extreme Learning for Wireless Networks.

A novel large-scale multi-hop localization algorithm based on regularized extreme learning is propos...

Vector representations of multi-word terms for semantic relatedness.

This paper presents a comparison between several multi-word term aggregation methods of distribution...