Critical Care

Critical Care

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

5,089 articles

Subcategories: Sepsis

Showing 1408-1428 of 5,089 articles

Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study.

OBJECTIVES: To compare the artificial intelligence algorithms as powerful machine learning methods f...

Nov 2022 36351434

The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms.

In recent years, the machine learning research community has benefited tremendously from the availab...

Nov 2022 36369205

Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation.

Accurate medical image segmentation of brain tumors is necessary for the diagnosing, monitoring, and...

Nov 2022 34478389

Natural Language Processing Model for Identifying Critical Findings-A Multi-Institutional Study.

Improving detection and follow-up of recommendations made in radiology reports is a critical unmet n...

Nov 2022 36344632

ognitive utcomes in the ragmatic nvestigation of optimaxygen argets (CO-PILOT) trial: protocol and statistical analysis plan.

INTRODUCTION: Long-term cognitive impairment is one of the most common complications of critical ill...

Nov 2022 36319061

Detection of arrhythmia in 12-lead varied-length ECG using multi-branch signal fusion network.

Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a critical role in early pr...

Oct 2022 35705072

Prediction of drug-target interactions through multi-task learning.

Identifying the binding between the target proteins and molecules is essential in drug discovery. Th...

Oct 2022 36316405

Classifier for the functional state of the respiratory system via descriptors determined by using multimodal technology.

Currently, intelligent systems built on a multimodal basis are used to study the functional state of...

Oct 2022 36305552

Predicting risk of sepsis, comparison between machine learning methods: a case study of a Virginia hospital.

Sepsis is an inflammation caused by the body's systemic response to an infection. The infection coul...

Oct 2022 36307887

Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.

BACKGROUND: Hepatic steatosis (HS) identified on CT may provide an integrated cardiometabolic and CO...

Oct 2022 36309007

Dynamic prediction of life-threatening events for patients in intensive care unit.

BACKGROUND: Early prediction of patients' deterioration is helpful in early intervention for patient...

Oct 2022 36273130

Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis.

BACKGROUND: In this work, we developed many machine learning classifiers to assist in diagnosing res...

Oct 2022 36266674

Clinical applicability of deep learning-based respiratory signal prediction models for four-dimensional radiation therapy.

For accurate respiration gated radiation therapy, compensation for the beam latency of the beam cont...

Oct 2022 36256632

DeepMPM: a mortality risk prediction model using longitudinal EHR data.

BACKGROUND: Accurate precision approaches have far not been developed for modeling mortality risk in...

Oct 2022 36241976

An efficient and low complex model for optimal RBM features with weighted score-based ensemble multi-disease prediction.

Multi-disease prediction is regarded as the capacity to simultaneously identify various diseases tha...

Oct 2022 36218238

Early prediction of hemodialysis complications employing ensemble techniques.

BACKGROUND AND OBJECTIVES: Hemodialysis complications remain a critical threat among dialysis patien...

Oct 2022 36221077

Energy Expenditure Estimation in Children, Adolescents and Adults by Using a Respiratory Magnetometer Plethysmography System and a Deep Learning Model.

PURPOSE: Energy expenditure is a key parameter in quantifying physical activity. Traditional methods...

Oct 2022 36235842

Biodegradable Smart Face Masks for Machine Learning-Assisted Chronic Respiratory Disease Diagnosis.

Utilizing smart face masks to monitor and analyze respiratory signals is a convenient and effective ...

Oct 2022 36196484

Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost.

The recent investigation has started for evaluating the human respiratory sounds, like voice recorde...

Oct 2022 36228465

Application of Visual Recognition Based on BP Neural Network in Architectural Design Optimization.

In order to establish the mapping relationship between architectural design parameters and building ...

Sep 2022 36211004

Predicting respiratory motion using a novel patient specific dual deep recurrent neural networks.

Real-time tracking of a target volume is a promising solution for reducing the planning margins and ...

Sep 2022 36130525

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