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Effects of data transformation and model selection on feature importance in microbiome classification data.
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Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Background: Accurate classification of host phenotypes from microbiome data is crucial for advancing microbiome-based therapies, with machine learning offering effective solutions. However, the complexity of the gut microbiome, data sparsity, compositionality, and population-specificity present significant challenges. Microbiome data transformations can alleviate some of the aforementioned challenges, but their usage in machine learning tasks has largely been unexplored.
View Article and Find Full Text PDFIntegration of physical and mental health services for children and young people with eating disorders and functional symptom disorders: discrete choice experiment.
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Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK.
Background: Given the increasing recognition of the value of greater integration of physical and mental health services for children and young people, we aimed to evaluate preferences among parents for the characteristics associated with integrated health service provision for two conditions (eating disorders, functional symptom disorders).
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Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology.
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Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
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View Article and Find Full Text PDFFrom classroom to workforce: a discrete choice analysis of Iranian nursing students' job preferences.
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Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Aims: This study evaluates both financial and non-financial preferences of nursing students to choose a hospital for work in future.
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Practices and attitudes of adult psychiatrists regarding methamphetamine-associated psychotic disorder: an internet based survey conducted in Turkey.
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Department of Psychiatry, Faculty of Medicine, Recep Tayyip Erdogan University, Rize, Turkey.
Background: Many variables may affect approaches of psychiatrists to methamphetamine-associated psychotic disorder (MAP) treatment. This study was aimed to reach adult psychiatrists actively practicing in Turkey through an internet-based survey and to determine their practices and attitudes to MAP treatment.
Methods: In this internet-based study, participants were divided into three groups based on their answers: Those who do not follow-up any MAP patient were group 1 (n = 78), partially involved in the treatment process of at least one patient diagnosed with MAP were group 2 (n = 128), completely involved in the treatment process of at least one patient diagnosed with MAP were group 3 (n = 202).
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