Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities.

In this paper, the protocol-based remote state estimation problem is considered for a kind of delaye...

Jul 2020 32659593
Controller synthesis and clinical exploration of wearable gyroscopic actuators to support human balance.

Gyroscopic actuators are appealing for wearable applications due to their ability to provide overgro...

Jun 2020 32591577
Memory-Aware Active Learning in Mobile Sensing Systems.

We propose a novel active learning framework for activity recognition using wearable sensors. Our wo...

Jun 2020 34970086
A Multi-Objective Approach for Optimal Energy Management in Smart Home Using the Reinforcement Learning.

Maintaining a fair use of energy consumption in smart homes with many household appliances requires ...

Jun 2020 32570915
Uncertainty-aware domain alignment for anatomical structure segmentation.

Automatic and accurate segmentation of anatomical structures on medical images is crucial for detect...

Jun 2020 32580058
Pediatric Acute-Onset Neuropsychiatric Syndrome: A Data Mining Approach to a Very Specific Constellation of Clinical Variables.

Pediatric acute onset neuropsychiatric syndrome (PANS) is a clinically heterogeneous disorder prese...

May 2020 32460516
Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration.

Accurate estimation of reference evapotranspiration (ET) is profoundly crucial in crop modeling, sus...

May 2020 32445152
Retip: Retention Time Prediction for Compound Annotation in Untargeted Metabolomics.

Unidentified peaks remain a major problem in untargeted metabolomics by LC-MS/MS. Confidence in peak...

May 2020 32390414
Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses.

Spiking neural networks (SNN) are computational models inspired by the brain's ability to naturally ...

May 2020 32415108
Deep learning-based classification of rectal fecal retention and analysis of fecal properties using ultrasound images in older adult patients.

AIM: The present study aimed to analyze the use of machine learning in ultrasound (US)-based fecal r...

May 2020 32394621
Generalization error analysis for deep convolutional neural network with transfer learning in breast cancer diagnosis.

Deep convolutional neural network (DCNN), now popularly called artificial intelligence (AI), has sho...

May 2020 32208369
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study.

Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with ...

May 2020 33007638
Probing the degradation of pharmaceuticals in urine using MFC and studying their removal efficiency by UPLC-MS/MS.

Nutrient recovery from source-separated human urine has attracted interest as it is rich in nitrogen...

Apr 2020 34277120
Matching patients to clinical trials using semantically enriched document representation.

Recruiting eligible patients for clinical trials is crucial for reliably answering specific question...

Mar 2020 32169670
Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial.

Clinical trials often fail to recruit an adequate number of appropriate patients. Identifying eligib...

Mar 2020 32149659
One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis.

Determining the number of factors is one of the most crucial decisions a researcher has to face when...

Mar 2020 32134315
A pilot trial of Convolution Neural Network for automatic retention-monitoring of capsule endoscopes in the stomach and duodenal bulb.

The retention of a capsule endoscope (CE) in the stomach and the duodenal bulb during the examinatio...

Mar 2020 32139758
Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?

In recent years, protein-ligand interaction scoring functions derived through machine-learning are r...

Mar 2020 32085675
DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images.

Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuab...

Mar 2020 32124225
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