Practice Management

Staffing & Scheduling

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

6,130 articles
Stay Ahead - Weekly Staffing & Scheduling research updates
Subscribe
Browse Specialties
Showing 631-651 of 6,130 articles
Low-carbohydrate diet score and chronic obstructive pulmonary disease: a machine learning analysis of NHANES data.

BACKGROUND: Recent research has identified the Low-Carbohydrate Diet (LCD) score as a novel biomarke...

Training machine learning models to detect rare inborn errors of metabolism (IEMs) based on GC-MS urinary metabolomics for diseases screening.

BACKGROUND: Gas chromatography-mass spectrometry (GC-MS) has been shown to be a potentially efficien...

Identification of autism spectrum disorder using electroencephalography and machine learning: a review.

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by communication barr...

Analysis of HIV infection among voluntary blood donors based on HIV ELISA and nucleic acid detection.

OBJECTIVE: To analyze the epidemiological characteristics of human immunodeficiency virus (HIV) infe...

How to enhance employee engagement in the AI era: An fsQCA-based study.

BackgroundThe ongoing fourth industrial revolution, characterized by the integration of intelligent ...

Utilizing InVEST ecosystem services model combined with deep learning and fallback bargaining for effective sediment retention in Northern Iran.

This study aimed to integrate game theory and deep learning algorithms with the InVEST Ecosystem Ser...

Optimizing load scheduling and data distribution in heterogeneous cloud environments using fuzzy-logic based two-level framework.

Cloud environment handles heterogeneous services, data, and users collaborating on different technol...

Effectiveness of robot-assisted training in adults with Parkinson's disease: a systematic review and meta-analysis.

AIM: This work aimed to update and summarize the existing evidence on the effectiveness of robot-ass...

Imaging-guided bioresorbable acoustic hydrogel microrobots.

Micro- and nanorobots excel in navigating the intricate and often inaccessible areas of the human bo...

Diagnosis of infections using artificial intelligence techniques versus standard microscopy in a reference laboratory.

Diagnosing malaria using standard techniques is time-consuming. With limited staffing in many labora...

Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training.

Biomedical relation extraction aims to identify underlying relationships among entities, such as gen...

Artificial Intelligence as a Discriminator of Competence in Urological Training: Are We There?

PURPOSE: Assessments in medical education play a central role in evaluating trainees' progress and e...

Integration of AI-Assisted in Digital Cervical Cytology Training: A Comparative Study.

OBJECTIVE: This study aimed to investigate the supporting role of artificial intelligence (AI) in di...

Estimation of fatty acid composition in mammary adipose tissue using deep neural network with unsupervised training.

PURPOSE: To develop a deep learning-based method for robust and rapid estimation of the fatty acid c...

Browse Specialties