Critical Care

A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis.

Chronic Kidney Disease (CKD) anemia is one of the main common comorbidities in patients undergoing E...

An adaptive Hidden Markov model for activity recognition based on a wearable multi-sensor device.

Human activity recognition is important in the study of personal health, wellness and lifestyle. In ...

An open-label, in-use study assessing the warming sensation accompanying IFF Flavour 316282 and the acceptability and local tolerability of a syrup containing paracetamol and pseudoephedrine for the short-term treatment of symptoms of an upper respiratory tract infection.

OBJECTIVE: The primary objective was to assess the warming sensation caused by IFF Flavour 316282 in...

[Robot-assisted surgery in visceral and thoracic surgery gynaecology, urology--importantanaesthetic considerations].

Robot-assisted surgery, as a development of laparoscopic surgery, has an increasing field of applica...

L1-norm locally linear representation regularization multi-source adaptation learning.

In most supervised domain adaptation learning (DAL) tasks, one has access only to a small number of ...

Multi-motion robots control based on bioelectric signals from single-channel dry electrode.

This article presents a multi-motion control system to help severe disabled people operate an auxili...

A new class of multi-stable neural networks: stability analysis and learning process.

Recently, multi-stable Neural Networks (NN) with exponential number of attractors have been presente...

A bioinspired multi-modal flying and walking robot.

With the aim to extend the versatility and adaptability of robots in complex environments, a novel m...

Development of system using beam's eye view images to measure respiratory motion tracking errors in image-guided robotic radiosurgery system.

The accuracy of the CyberKnife Synchrony Respiratory Tracking System (SRTS) is considered to be pati...

Predicting equilibrium vapour pressure isotope effects by using artificial neural networks or multi-linear regression - A quantitative structure property relationship approach.

We aim at predicting the effect of structure and isotopic substitutions on the equilibrium vapour pr...

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.

The segmentation of infant brain tissue images into white matter (WM), gray matter (GM), and cerebro...

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. M...

Mortality prediction in ICU: a methodological advance.

Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high-content imaging, machine learning, and morphological binning.

Understanding the processes of mitochondrial dynamics (fission, fusion, biogenesis, and mitophagy) h...

A robust method for online heart sound localization in respiratory sound based on temporal fuzzy c-means.

This work presents a detailed framework to detect the location of heart sound within the respiratory...

Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imaging.

The detection of MRI abnormalities that can be associated to seizures in the study of temporal lobe ...

Procalcitonin Strip Test as an Independent Predictor in Acute Pancreatitis.

Plasma procalcitonin (PCT) is a highly specific marker for the diagnosis of bacterial infection and ...

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation.

Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...

Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation.

Polyp segmentation is critical in medical image analysis. Traditional methods, while capable of prod...

Generative deep learning model assisted multi-objective optimization for wastewater nitrogen to protein conversion by photosynthetic bacteria.

For decades, the photosynthetic bacteria (PSB)-based nitrogen treatment and valorization from wastew...

Multi-view graph clustering with Dually Enhanced Tensor Rank Minimization and Diverse Separation of Inconsistent Information.

Multi-view graph clustering is a powerful machine-learning technique for data analysis. However, mos...