Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

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Showing 2227-2247 of 6,181 articles
Critically Ill Recipients of Weight-Based Fluconazole Meeting Drug-Induced Liver Injury Network Criteria.

Fluconazole-associated liver injury is estimated to occur in <10% of patients; however, effect of w...

Multi-dimensional proprio-proximus machine learning for assessment of myocardial infarction.

This work presents a novel analysis methodology that utilises high-resolution, multi-dimensional inf...

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification.

Effective utilization of multi-center data for autism spectrum disorder (ASD) diagnosis recently has...

Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps.

We present a novel multi-task convolutional neural network called Multi-task SonoEyeNet () that lear...

Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data.

Age estimation from radiologic data is an important topic both in clinical medicine as well as in fo...

Creation of a Robust and Generalizable Machine Learning Classifier for Patient Ventilator Asynchrony.

BACKGROUND: As healthcare increasingly digitizes, streaming waveform data is being made available fr...

A machine learning-based model for 1-year mortality prediction in patients admitted to an Intensive Care Unit with a diagnosis of sepsis.

INTRODUCTION: Sepsis is associated to a high mortality rate, and its severity must be evaluated quic...

Cost-sensitive multi-label learning with positive and negative label pairwise correlations.

Multi-label learning is the problem where each instance is associated with multiple labels simultane...

A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications.

Multi-modal bio-sensing has recently been used as effective research tools in affective computing, a...

Exponential consensus of discrete-time non-linear multi-agent systems via relative state-dependent impulsive protocols.

In this paper, we discuss the exponential consensus problem of discrete-time multi-agent systems wit...

Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.

Gene ontology (GO) provides a representation of terms and categories used to describe genes and thei...

Big data and machine learning in critical care: Opportunities for collaborative research.

The introduction of clinical information systems (CIS) in Intensive Care Units (ICUs) offers the pos...

Improved multi-view privileged support vector machine.

Multi-view learning (MVL) concentrates on the problem of learning from the data represented by multi...

[Expert systems-urgently needed for early diagnosis of sepsis : Results of retrospective clinical validation of the expert system FLORIDA].

The expert system FLORIDA (Fuzzy Logic Orientated Rule Interpreter for Diagnostic Applications) is e...

Minimally Invasive Surgical Approach for Posterior Tracheopexy to Treat Severe Tracheomalacia: Lessons Learned from Initial Case Series.

Posterior tracheopexy directly addresses membranous tracheal intrusion in severe tracheomalacia (TM...

Multi-Domain Networks Association for Biological Data Using Block Signed Graph Clustering.

Multi-domain biological network association and clustering have attracted a lot of attention in biol...

Distributed zero-sum differential game for multi-agent systems in strict-feedback form with input saturation and output constraint.

This paper investigates the distributed differential game tracking problem for nonlinear multi-agent...

Multi-Factored Gene-Gene Proximity Measures Exploiting Biological Knowledge Extracted from Gene Ontology: Application in Gene Clustering.

To describe the cellular functions of proteins and genes, a potential dynamic vocabulary is Gene Ont...

Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm.

Route optimization of hazardous materials transportation is one of the basic steps in ensuring the s...

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