AIMC Topic: Hospitals, Maternity

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An interpretation algorithm for molecular diagnosis of bacterial vaginosis in a maternity hospital using machine learning: proof-of-concept study.

Diagnostic microbiology and infectious disease Nov 27, 2019
Allplex Bacterial vaginosis assay (Seegene, South Korea) is a molecular test for bacterial vaginosis (BV). A machine learning algorithm was devised on 200 samples (BV = 23, non-BV = 177) converting 7 identified bacterial strains polymerase chain reac...
Humans Machine Learning Algorithms Female Reproducibility of Results Sensitivity and Specificity Molecular Diagnostic Techniques Hospitals, Maternity Cross Infection Polymerase Chain Reaction Proof of Concept Study Vaginosis, Bacterial
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Quality of working life from the perspective of different groups of professionals working in a maternity hospital.

Ciencia & saude coletiva Jun 7, 2019
The relationship between people and work has a direct impact on quality of life and health. The objective of this article is to compare perceived levels of Quality of Working Life (QWL) across three different groups of professionals. Cross-sectional ...
Humans Pregnancy Female Cross-Sectional Studies Male Quality of Life Hospitals, Maternity Personnel, Hospital Workplace
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Machine learning to anticipate delivery room activity?

Journal of gynecology obstetrics and human reproduction Dec 1, 2018
Humans Machine Learning Pregnancy Female Infant, Newborn Prenatal Care Labor, Induced Workload Workflow Hospitals, Maternity France Personnel Staffing and Scheduling Delivery Rooms Perinatal Care
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