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Discriminant analysis of the metabolic effects of a new combined contraceptive vaginal ring containing Nestorone/EE vs. a second-generation oral contraceptive containing levonorgestrel/EE.

BACKGROUND: Discriminant analysis (DA) was performed on data of two combined hormonal contraceptives (CHC) differing in estrogen ratio to explore whether a combination of variables rather than a single variable distinguishes CHCs better. STUDY DESIGN: Data were used of a parallel study in premenopausal women treated for three cycles (21 days on, 7 days off) with a contraceptive vaginal ring delivering Nestorone and ethinyl estradiol (EE) or an oral contraceptive containing levonorgestrel and EE. DA was performed on the change from baseline (CFB) and the end-of-treatment values at 3 months for…

Discriminant function analysis as decision support system for the diagnosis of acute leukemia with a minimal four color screening panel and multiparameter flow cytometry immunophenotyping.

Despite several recommendations for standardization of multiparameter flow cytometry (MFC) the number, specificity and combinations of reagents used by diagnostic laboratories for the diagnosis and classification of acute leukemias (AL) are still very diverse. Furthermore, the current diagnostic interpretation of flow cytometry readouts is influenced arbitrarily by individual experience and knowledge. We determined the potential value of a minimal four-color combination panel of 13 monoclonal antibodies (mAbs) with a CD45/sideward light scatter-gating strategy for a standardized MFC immunophen

A Latent Profile Analysis of Latino Adolescents' Cultural Wealth, Ethnic-Racial Discrimination, and Academic Adjustment.

Drawing from the model of community cultural wealth, which suggests that youth from minoritized populations can draw on their cultural knowledge, networks, and skills to successfully navigate their academic contexts, the current study examined whether latent profiles of cultural capital emerged among a sample of Latino adolescents using various indicators of cultural wealth. The sample included 627 Latino adolescents (95% U.S.-born; 57% girls; 33% 9th graders, 27% 10th graders, 23% 11th graders, 18% 12th graders). Specifically, configurations of cultural wealth were analyzed based on the follo

Gut microbiome signatures discriminate deep vein thrombosis through machine learning and metabolic analysis.

Deep vein thrombosis (DVT) remains difficult to distinguish because of its often silent presentation and the limited specificity of current … yed to evaluate the discriminative value of the models in an independent test set. Following linear discriminant analysis (LDA) effect size (LEfSe) screening, 95 candidate microbial features were entered into a random forest framework. Features were reduced using mutual information filtering and embedded selection to retain the final 10 for DVT vs. non-DVT classificati …

Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications.

INTRODUCTION: Alopecia areata (AA) is an autoimmune disorder characterized by non-scarring hair loss due to immune dysregulation. Despite advances, its precise molecular mechanisms remain unclear. This study investigates plasma microRNA (miRNA) expression profiles in patients with AA to identify biological pathways influenced by miRNAs and potential therapeutic targets. METHODS: A total of 50 patients with AA were categorized as severe or mild on the basis of Severity of Alopecia Tool (SALT) scores. Plasma miRNA levels were compared with those of healthy controls and individuals with other im

Trust in healthcare and perceived discrimination in Sweden: a fixed effects analysis of individual heterogeneity and discriminatory accuracy.

INTRODUCTION: Trust in healthcare is central to the delivery of care and unequally distributed between groups in society. Experiences of perceived discrimination have been associated with lack of such trust. Although the importance of trust in healthcare has been highlighted in recent years, studies in this area are relatively scarce. MATERIALS AND METHODS: We investigated the risk of low trust in healthcare in Sweden, using data from 11 consecutive National Public Health Surveys conducted in 2004-2014 (n = 83,135). Applying an analysis of individual heterogeneity and discriminatory accuracy

Machine learning methods to discriminate posttraumatic stress disorder: A protocol of systematic review and meta-analysis.

INTRODUCTION: Recent years have witnessed a persistent threat to public mental health, especially during and after the COVID-19 pandemic. Posttraumatic stress disorder (PTSD) has emerged as a pivotal concern amidst this backdrop. Concurrently, machine learning (ML) techniques have progressively applied in the realm of mental health. Therefore, our present undertaking seeks to provide a comprehensive assessment of studies employing ML methods that use diverse data modalities on the classification of people with PTSD. METHODS AND ANALYSIS: In pursuit of pertinent studies, we will search both En

The Association of Racism and Discrimination in Disparities of Hypertensive Disorders of Pregnancy in the United States: An Analysis of PRAMS Data.

BACKGROUND: Hypertensive disorders of pregnancy are a leading cause of maternal mortality. Racial disparities in maternal outcomes such as maternal mortality in the United States (US) are well-documented, but the relationship of racism and/or discrimination with one's risk of developing a hypertension during pregnancy (HDP) is not well-studied. METHODS: Data from 17 sites that asked questions regarding experiences with racism and/or discrimination during pregnancy via the Pregnancy Risk Assessment Monitoring System (PRAMS) Phase 8 (2016-2020) was used. Logistic regression models were used com

Nonlinear Dynamic Analysis and Perturbation Measurement Used for Discriminating Pathological Voices and Their Correlations With Perceptual Evaluation.

OBJECTIVE: 1. To investigate the discriminatory and diagnostic power of nonlinear dynamic analysis measures concerning voices from normal, benign, and malignant voice disorders. 2. To study the correlations of nonlinear dynamic analysis measures with perceptual ratings to evaluate the reliability of the objective acoustic analysis in predicting severity of voice. METHOD: The perturbation analysis metrics used were Jitter%, Shimmer%, and signal-to-noise ratio. The nonlinear dynamic analysis metrics used were spectrum convergence ratio (SCR), nonlinear energy difference ratio (NEDR), and rate o

Diagnostic Accuracy of Neurocognitive and Executive Functions to Discriminate Women With and Without Fibromyalgia Syndrome: A Secondary Analysis.

Objective: The aim of the current study was to determine the capability of neurocognitive variables and executive functions to differentiate women with and without fibromyalgia syndrome (FMS). Methods: A secondary diagnostic accuracy analysis was conducted. A battery of neurocognitive and executive function tests (the D2 Attention test, the Rey-Osterrieth Complex Figure for visual perception, "Digits D/R/I" tests of the WAIS-IV battery for working memory, the 5-Digit test for mental inhibition, the Symbol Search for processing speed, and the Zoo Test for planning/decision-making) were collecte

Применение методов извлечения дискриминирующих и глубоких элементов для полного анализа слайдов: обследование.

Цифровые патологические технологии, включая целые слайды, значительно улучшили современные клинические методы, облегчая хранение, просмотр, обработку и совместное цифровое сканирование стеклянных слайдов. Исследователи предложили различные решения в области искусственного интеллекта (АИ) для применения в цифровой патологии, такие, как автоматизированный анализ изображений, для извлечения диагностической информации из WSI в целях повышения производительности, точности и воспроизводимости патологии. Методы экстракции особей играют решающую роль в преобразовании первичных данных об образе в значи

Совпадение в полном тексте источника
… .: SVM: Support Vector Machine; LDA/QDA: Linear/Quadratic Discriminant Analysis; KNN: K-Nearest Neighbors; MLP: Multilayer Perceptron; GNN: Graph Neural Network; RBF: Radial Basis Function. …

Systematic review and quantitative and qualitative comparative analysis of interventions to address HIV-related stigma and discrimination.

A strong global commitment exists to eliminate HIV-related stigma and discrimination, and multiple strategies to reduce or eliminate stigma and discrimination have been tried. Using a PICOTS framework and applying the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria, we undertook a systematic review to determine the success of interventions aiming to address internalized stigma, stigma and discrimination in healthcare, and at the legal or policy level, and to identify their critical success factors. Random effects meta-analyses summarized results wherever po

Discrimination of the Cognitive Function of Community Subjects Using the Arterial Pulse Spectrum and Machine-Learning Analysis.

Early identification of cognitive impairment would allow affected patients to receive care at earlier stage. Changes in the arterial stiffness have been identified as a prominent pathological feature of dementia. This study aimed to verify if applying machine-learning analysis to spectral indices of the arterial pulse waveform can be used to discriminate different cognitive conditions of community subjects. 3-min Radial arterial blood pressure waveform (BPW) signals were measured noninvasively in 123 subjects. Eight machine-learning algorithms were used to evaluate the following 4 pulse indice

ICT based water-soluble fluorescent probe for discriminating mono and dicarbonyl species and analysis in foods.

A unique and highly water-soluble ICT-based fluorescent probe is developed for efficient detection and discrimination of reactive monocarbonyl formaldehyde (FA) from dicarbonyl methylglyoxal (MGO)/glyoxal (GO) by modulating the ICT process, which was confirmed by photophysical and TD-DFT analysis. The probe is applied in cellular imaging and quantifying FA in preserved food and MGO in manuka honey.

Effective discrimination of Yersinia pestis and Yersinia pseudotuberculosis by MALDI-TOF MS using multivariate analysis.

Separating Yersinia pseudotuberculosis and Yersinia pestis is an important issue in plague diagnosis but can be extremely difficult because … fect separation between Y. pseudotuberculosis and Y. pestis (AUC = 0.999) using a supervised linear discriminant analysis (LDA) model. This is significantly better than the conventionally applied unsupervised spectral similarity comparison methods, such as hierarchical clustering analysis (HCA), which gave a separation accuracy of 75.0%. This new computing method paves …

Gender discrimination in health-care expenditure: An analysis across the age-groups with special focus on the elderly.

This study aims to understand how much of the gender gap in hospitalization expenditure is explained by different socio-economic, demographic and health-care related factors across the age-groups with a particular focus on the elderly. The unexplained part of the gap (the coefficient effect) is assumed to arise purely due to gender bias. Gender inequality in health-care expenses has been well-documented particularly in case of developing countries and also for India separately. The current study contributes to the existing knowledge by analyzing the gender gap across the age-groups and by brin

The Role of Nurses as Allies Against Racism and Discrimination: An Analysis of Key Resistance Movements of Our Time.

The remnants of colonialism manifesting as structural violence, racism, and oppression continue to plague our society as evidenced by the persistence of health inequities, particularly for minority populations in the United States. As a profession bound by moral and ethical mandates, nursing must resist and deconstruct oppression in all its forms. Nurses, informed by critical race theory, intersectionality, and historical trauma, can become formidable allies with marginalized populations in the fight for social justice and health equity.

Discriminating chorea-acanthocytosis from Huntington's disease with single-case voxel-based morphometry analysis.

BACKGROUND AND PURPOSE: Chorea-acanthocytosis is clinically difficult to distinguish from Huntington's disease because these disorders have similar symptoms and MR imaging findings. We evaluated the usefulness of single-case voxel-based morphometry (VBM) analysis for differentiating the two diseases as well as VBM analysis. MATERIALS AND METHODS: We examined five genetically proven chorea-acanthocytosis patients and 11 Huntington's disease patients to detect differences in the gray and white matter atrophic pattern by using single-case VBM analysis in each patient and their clinical findings.

Is There Gender Discrimination in Acute Renal Colic Pain Management? A Retrospective Analysis in an Emergency Department Setting.

BACKGROUND: Pain is a widespread problem, affecting both men and women; studies have found that women in the emergency department receive analgesic medication and opioids less often compared with men. AIMS: The aim of this study was to examine the administration and management of analgesics by the medical/paramedical staff in relation to the patients' gender, and thereby to examine the extent of gender discrimination in treating pain. DESIGN: This is a single-center retrospective cohort study that included 824 patients. SETTINGS: Emergency department of tertiary hospital in Israel. PARTICI

Discrimination of diesel fuels marketed in Morocco using FTIR, GC-MS analysis and chemometrics methods.

The purpose of this study was to perform a discrimination and classification of diesel samples from the four major suppliers of petroleum products in Morocco using Fourier Transform Infrared Spectroscopy (FTIR), Gas Chromatography coupled with Mass Spectrometry (GC-MS) and chemometrics tools. Eighty diesel samples were collected from different gas stations owned by the four biggest brands in the Moroccan market. Principal Component Analysis (PCA) was performed to depict the similarities between the samples and check the presence of outliers. Partial Least Squares Discriminant Analysis (PLS-DA)…