Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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[The gender features of disorders of composition of lipids of blood serum in patients with chronic pathology of kidneys.].

The purpose of the study was to investigate gender features of abnormalities of blood serum lipid co...

SPICODYN: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal Recordings.

We implemented an automated and efficient open-source software for the analysis of multi-site neuron...

Procalcitonin in inflammatory bowel disease: Drawbacks and opportunities.

The measurement of procalcitonin has recently become a mainstay for the diagnosis and therapeutic ma...

[Construction and identification of nanobody phage display library targeting Middle East respiratory syndrome coronavirus].

Objective To construct a phage display library of specific nano-antibodies against the Middle East r...

Serum 25-hydroxyvitamin D levels in patients with Granulomatosis with Polyangiitis: association with respiratory infection.

OBJECTIVES: To determine the possible association of serum 25-hydroxyvitamin D (25OHD) levels with d...

The Influence of Intraoperative Autotransfusion on Postoperative Hematocrit after Cardiac Surgery: A Cross-Sectional Study.

Utilization of intraoperative autotransfusion (IAT) during cardiac surgery with cardiopulmonary bypa...

Diet, Lung Function, and Asthma Exacerbations in Puerto Rican Children.

Changes in dietary patterns may partly explain the epidemic of asthma in industrialized countries. T...

[A Case Report of Maintaining Continuous Ambulatory Peritoneal Dialysis after Total Gastrectomy for Perforated Gastric Cancer with ESD].

A 73-year-old man, receiving maintenance continuous ambulatory peritoneal dialysis(CAPD)was admitted...

Restrictive ventilatory impairment is associated with poor outcome in patients with cT1aN0M0 peripheral squamous cell carcinoma of the lung.

BACKGROUND: Patients with squamous cell carcinoma (SqCC) of the lung sometimes have a comorbid pulmo...

Person Re-identification by Multi-hypergraph Fusion.

Matching people across nonoverlapping cameras, also known as person re-identification, is an importa...

Identifying Distinct Subgroups of ICU Patients: A Machine Learning Approach.

OBJECTIVES: Identifying subgroups of ICU patients with similar clinical needs and trajectories may p...

HPSLPred: An Ensemble Multi-Label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source.

Predicting the subcellular localization of proteins is an important and challenging problem. Traditi...

iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines.

Protein phosphorylation plays a potential role in regulating protein conformation and functions. As ...

Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.

Current machine learning techniques provide the opportunity to develop noninvasive and automated gli...

Localizing neuronal somata from Multi-Electrode Array in-vivo recordings using deep learning.

With the latest development in the design and fabrication of high-density Multi-Electrode Arrays (ME...

Patient-Specific Classification of ICU Sedation Levels From Heart Rate Variability.

OBJECTIVE: To develop a personalizable algorithm to discriminate between sedation levels in ICU pati...

Discriminating sample groups with multi-way data.

High-dimensional linear classifiers, such as distance weighted discrimination (DWD) and versions of ...

Reliable bearing fault diagnosis using Bayesian inference-based multi-class support vector machines.

This letter presents a multi-fault diagnosis scheme for bearings using hybrid features extracted fro...

Automated Classification of Multi-Labeled Patient Safety Reports: A Shift from Quantity to Quality Measure.

Over the past two decades, there have seen an ever-increasing amount of patient safety reports yet t...

Automating the Identification of Patient Safety Incident Reports Using Multi-Label Classification.

Automated identification provides an efficient way to categorize patient safety incidents. Previous ...

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