Critical Care

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

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Subcategories: Sepsis
Showing 3151-3171 of 7,460 articles
Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network.

Automatic tumor segmentation from medical images is an important step for computer-aided cancer diag...

A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features.

UNLABELLED: Cough is a protective reflex conveying information on the state of the respiratory syste...

Accuracy of B-natriuretic peptide for the diagnosis of decompensated heart failure in muscular dystrophies patients with chronic respiratory failure.

Heart failure and restrictive respiratory insufficiency are complications in muscular dystrophies. W...

Machine vision analysis on abnormal respiratory conditions of mice inhaling particles containing cadmium.

Inhalable environmental toxicants can induce pulmonary malfunction resulting abnormal respiratory co...

Serum Procalcitonin and Presepsin Levels in Patients with Generalized Pustular Psoriasis.

Patients with generalized pustular psoriasis (GPP) often present with symptoms that must be differen...

Drug discovery and drug marketing with the critical roles of modern administration.

Drug research and development is a long-term and complicated process with the involvement of multidi...

Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks.

Sleep apnea is one of the most common sleep disorders and the consequences of undiagnosed sleep apne...

A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.

PURPOSE: Sepsis is a life-threatening condition with high mortality rates and expensive treatment co...

Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits.

Multi-trait and multi-environment data are common in animal and plant breeding programs. However, wh...

Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine.

At present, the study of gene expression data provides a reference for tumor diagnosis at the molecu...

Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data.

IMPORTANCE: Accurate prediction of outcomes among patients in intensive care units (ICUs) is importa...

Association Between Early Intravenous Fluids Provided by Paramedics and Subsequent In-Hospital Mortality Among Patients With Sepsis.

IMPORTANCE: Early administration of intravenous fluids is recommended for all patients with sepsis, ...

Automatic seizure detection using three-dimensional CNN based on multi-channel EEG.

BACKGROUND: Automated seizure detection from clinical EEG data can reduce the diagnosis time and fac...

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma.

We introduce the CDRP (Concatenated Diagnostic-Relapse Prognostic) architecture for multi-task deep ...

Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes.

Substance abuse carries many negative health consequences. Detailed information about patients' subs...

Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.

Sepsis is the leading cause of mortality in the ICU. It is challenging to manage because individual ...

An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units.

Most existing studies used logistic regression to establish scoring systems to predict intensive car...

A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.

Acute Respiratory Distress Syndrome (ARDS) is a syndrome of respiratory failure that may be identifi...

An Improved DSA-Based Approach for Multi-AUV Cooperative Search.

Multi-AUV cooperative target search problem in unknown 3D underwater environment is not only a resea...

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