Critical Care

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

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Practice innovation: the need for nimble data platforms to implement precision oncology care.

Given the drive toward personalized, value-based, and coordinated cancer care delivery, modern knowl...

A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.

Bipolar Disorder (BD) is a chronic and disabling disease that usually appears around 20 to 30 years ...

Multi-scale Convolutional Neural Networks for Lung Nodule Classification.

We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomograp...

Bodypart Recognition Using Multi-stage Deep Learning.

Automatic medical image analysis systems often start from identifying the human body part contained ...

Human Activity Recognition from Smart-Phone Sensor Data using a Multi-Class Ensemble Learning in Home Monitoring.

Home monitoring of chronically ill or elderly patient can reduce frequent hospitalisations and hence...

Role of moving average analysis for development of multi-target (Q)SAR models.

In modern drug discovery era, multi target- quantitative structure activity relationship [mt- (Q)SAR...

An alternative respiratory sounds classification system utilizing artificial neural networks.

BACKGROUND: Computerized lung sound analysis involves recording lung sound via an electronic device,...

Prompting physicians to address a daily checklist for antibiotics: do we need a co-pilot in the ICU?

PURPOSE OF REVIEW: Failed opportunities to reduce morbidity and mortality occur when evidence-based ...

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