Hospital-Based Medicine

Intensivists

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

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Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning.

OBJECTIVE: To demonstrate the incremental benefit of using free text data in addition to vital sign ...

Cellular computational generalized neuron network for frequency situational intelligence in a multi-machine power system.

To prevent large interconnected power system from a cascading failure, brownout or even blackout, gr...

Online Classification of Contaminants Based on Multi-Classification Support Vector Machine Using Conventional Water Quality Sensors.

Water quality early warning system is mainly used to detect deliberate or accidental water pollution...

Hybrid parameter identification of a multi-modal underwater soft robot.

We introduce an octopus-inspired, underwater, soft-bodied robot capable of performing waterborne pul...

Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications.

Manual Chart Review (MCR) is an important but labor-intensive task for clinical research and quality...

Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion.

In blood transfusion studies, plasma transfusion (PPT) and bleeding are known to be associated with ...

Interpretable Deep Models for ICU Outcome Prediction.

Exponential surge in health care data, such as longitudinal data from electronic health records (EHR...

Multi-Instance Metric Transfer Learning for Genome-Wide Protein Function Prediction.

Multi-Instance (MI) learning has been proven to be effective for the genome-wide protein function pr...

Disorder recognition in clinical texts using multi-label structured SVM.

BACKGROUND: Information extraction in clinical texts enables medical workers to find out problems of...

Diagnostic value of sTREM-1 and procalcitonin levels in the early diagnosis of sepsis.

OBJECTIVE: Sepsis is still major cause of morbidity and mortality, despite improvements in diagnosis...

Multi-Robot Coalitions Formation with Deadlines: Complexity Analysis and Solutions.

Multi-robot task allocation is one of the main problems to address in order to design a multi-robot ...

Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data.

Selected gene mutations are routinely used to guide the selection of cancer drugs for a given patie...

Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns.

BACKGROUND AND OBJECTIVE: Critical care patient events like sepsis or septic shock in intensive care...

Intravenous Chlorothiazide Versus Enteral Metolazone to Augment Loop Diuretic Therapy in the Intensive Care Unit.

BACKGROUND: In cases of loop diuretic resistance in the intensive care unit (ICU), recommendations f...

A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series.

Physiological variables, such as heart rate (HR), blood pressure (BP) and respiration (RESP), are ti...

Multi-atlas and unsupervised learning approach to perirectal space segmentation in CT images.

Perirectal space segmentation in computed tomography images aids in quantifying radiation dose recei...

Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data.

Disease diagnosis is one of the major data mining questions by the clinicians. The current diagnosis...

In Silico Testing of an Artificial-Intelligence-Based Artificial Pancreas Designed for Use in the Intensive Care Unit Setting.

BACKGROUND: Effective glucose control in the intensive care unit (ICU) setting has the potential to ...

Investigation of Multi-Input Multi-Output Robust Control Methods to Handle Parametric Uncertainties in Autopilot Design.

Some level of uncertainty is unavoidable in acquiring the mass, geometry parameters and stability de...

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.

High-grade glioma is the most aggressive and severe brain tumor that leads to death of almost 50% pa...

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