Critical Care

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

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Knowledge Translation Interventions to Improve the Timing of Dialysis Initiation: Protocol for a Cluster Randomized Trial.

BACKGROUND: Early initiation of chronic dialysis (starting dialysis with higher vs lower kidney func...

A Robotic Coach Architecture for Elder Care (ROCARE) Based on Multi-User Engagement Models.

The aging population with its concomitant medical conditions, physical and cognitive impairments, at...

The LET Procedure for Prosthetic Myocontrol: Towards Multi-DOF Control Using Single-DOF Activations.

Simultaneous and proportional myocontrol of dexterous hand prostheses is to a large extent still an ...

hMuLab: A Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression.

Many biomedical classification problems are multi-label by nature, e.g., a gene involved in a variet...

Assessment of the pharmacokinetics, removal rate of hemodialysis, and safety of lactulose in hemodialysis patients.

Lactulose is often used to treat hepatic encephalopathy or constipation, and also exhibits benefits ...

Prediction of Ventricular Tachycardia One Hour before Occurrence Using Artificial Neural Networks.

Ventricular tachycardia (VT) is a potentially fatal tachyarrhythmia, which causes a rapid heartbeat ...

Using the Generalized Index of Dissimilarity to Detect Gene-Gene Interactions in Multi-Class Phenotypes.

To find genetic association between complex diseases and phenotypic traits, one important procedure ...

A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents.

Many environmental incidents affect large areas, often in rough terrain constrained by natural obsta...

Reducing false alarms in the ICU by quantifying self-similarity of multimodal biosignals.

False arrhythmia alarms pose a major threat to the quality of care in today's ICU. Thus, the PhysioN...

Suppression of false arrhythmia alarms in the ICU: a machine learning approach.

This paper presents a novel approach for false alarm suppression using machine learning tools. It pr...

Does assisted driving behavior lead to safety-critical encounters with unequipped vehicles' drivers?

With Intelligent Transport Systems (e.g., traffic light assistance systems) assisted drivers are abl...

Neural networks within multi-core optic fibers.

Hardware implementation of artificial neural networks facilitates real-time parallel processing of m...

Functional Assessment of a Myoelectric Postural Controller and Multi-Functional Prosthetic Hand by Persons With Trans-Radial Limb Loss.

The functional assessment of myoelectric control algorithms by persons with amputation promotes the ...

Discrimination of systolic and diastolic dysfunctions using multi-layer perceptron in heart rate variability analysis.

In this study, the heart rate variability (HRV) analysis is used to distinguish patients with systol...

Dense Annotation of Free-Text Critical Care Discharge Summaries from an Indian Hospital and Associated Performance of a Clinical NLP Annotator.

Electronic Health Record (EHR) use in India is generally poor, and structured clinical information i...

Design and Construction of a Microcontroller-Based Ventilator Synchronized with Pulse Oximeter.

This study aims to introduce a novel device with which mechanical ventilator and pulse oximeter work...

Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative Complications.

OBJECTIVE: To compare performance of risk prediction models for forecasting postoperative sepsis and...

Adaptive contrast weighted learning for multi-stage multi-treatment decision-making.

Dynamic treatment regimes (DTRs) are sequential decision rules that focus simultaneously on treatmen...

Serum Thiamine Values in End-Stage Renal Disease Patients under Maintenance Hemodialysis.

OBJECTIVE: Hemodialysis patients are prone to malnutrition because of diet or many uremic complicati...

Inverse treatment planning for spinal robotic radiosurgery: an international multi-institutional benchmark trial.

Stereotactic radiosurgery (SRS) is the accurate, conformal delivery of high-dose radiation to well-d...

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