Practice Management

Staffing & Scheduling

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

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Showing 3193-3213 of 6,196 articles
In vitro prebiotic effects and quantitative analysis of Bulnesia sarmienti extract.

Prebiotics are used to influence the growth, colonization, survival, and activity of probiotics, and...

Dense Annotation of Free-Text Critical Care Discharge Summaries from an Indian Hospital and Associated Performance of a Clinical NLP Annotator.

Electronic Health Record (EHR) use in India is generally poor, and structured clinical information i...

Neural network training as a dissipative process.

This paper analyzes the practical issues and reports some results on a theory in which learning is m...

Decision-Making Model for Adaptive Impedance Control of Teleoperation Systems.

This paper presents a haptic assistance strategy for teleoperation that makes a task and situation-s...

Lung Cancer Detection Using Fuzzy Auto-Seed Cluster Means Morphological Segmentation and SVM Classifier.

An effective fuzzy auto-seed cluster means morphological algorithm developed in this work to segment...

A novel robot for imposing perturbations during overground walking: mechanism, control and normative stepping responses.

BACKGROUND: The most common approach to studying dynamic balance during walking is by applying pertu...

Statistical Performance Analysis of Data-Driven Neural Models.

Data-driven model-based analysis of electrophysiological data is an emerging technique for understan...

Adaptive Shape Kernel-Based Mean Shift Tracker in Robot Vision System.

This paper proposes an adaptive shape kernel-based mean shift tracker using a single static camera f...

Powered robotic exoskeletons in post-stroke rehabilitation of gait: a scoping review.

Powered robotic exoskeletons are a potential intervention for gait rehabilitation in stroke to enabl...

Task-specific ankle robotics gait training after stroke: a randomized pilot study.

BACKGROUND: An unsettled question in the use of robotics for post-stroke gait rehabilitation is whet...

Evaluation of tactical training in team handball by means of artificial neural networks.

While tactical performance in competition has been analysed extensively, the assessment of training ...

Predicting pupylation sites in prokaryotic proteins using semi-supervised self-training support vector machine algorithm.

As one important post-translational modification of prokaryotic proteins, pupylation plays a key rol...

Estimation of design space for an extrusion-spheronization process using response surface methodology and artificial neural network modelling.

The application of the Quality by Design principles is one of the key issues of the recent pharmaceu...

Learning statistical models of phenotypes using noisy labeled training data.

OBJECTIVE: Traditionally, patient groups with a phenotype are selected through rule-based definition...

Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels.

Classification algorithms based on different forms of support vector machines (SVMs) for dealing wit...

Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department.

OBJECTIVE: (1) To develop an automated algorithm to predict a patient's response (ie, if the patient...

A Hyper-Heuristic Ensemble Method for Static Job-Shop Scheduling.

We describe a new hyper-heuristic method NELLI-GP for solving job-shop scheduling problems (JSSP) th...

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