Bayesian feature selection for radiomics using reliability metrics.

Imaging of tumors is a standard step in diagnosing cancer and making subsequent treatment decisions. The field of radiomics aims to develop imaging based biomarkers using methods rooted in artificial intelligence applied to medical imaging. However, a challenging aspect of developing predictive models for clinical use is that many quantitative features derived from image data exhibit instability or lack of reproducibility across different imaging systems or image-processing pipelines.

Hierarchical Normalized Completely Random Measures for Robust Graphical Modeling.

Gaussian graphical models are useful tools for exploring network structures in multivariate normal data. In this paper we are interested in situations where data show departures from Gaussianity, therefore requiring alternative modeling distributions. The multivariate -distribution, obtained by dividing each component of the data vector by a gamma random variable, is a straightforward generalization to accommodate deviations from normality such as heavy tails.

Themes Depicted in Top-grossing Rated-R Films Released from 2012 to 2017.

Introduction: Films continue to be a popular form of entertainment amongst children and adolescents. The objective of this study was to determine the most common themes depicted in a select number of rated-R films released 2012-2017.

Methods: A total of 25 films were independently viewed and analyzed by five reviewers.

The impact of patient-physician alliance on trust following an adverse event.

Objective: Adverse events in maternity care have a negative impact on the patient-physician relationship. This study assesses the effects of healthcare institutions, communication, and patient involvement on patient trust following adverse events.

Methods: Surveys were distributed online to women across the US who had given birth.

Tree-based Methods for Characterizing Tumor Density Heterogeneity.

Solid lesions emerge within diverse tissue environments making their characterization and diagnosis a challenge. With the advent of cancer radiomics, a variety of techniques have been developed to transform images into quantifiable feature sets producing summary statistics that describe the morphology and texture of solid masses. Relying on empirical distribution summaries as well as grey-level co-occurrence statistics, several approaches have been devised to characterize tissue density heterogeneity.

Childhood asthma and extreme values of body mass index: the Harlem Children's Zone Asthma Initiative.

To examine the association between body mass index (BMI) percentile and asthma in children 2-11 years of age, we performed a cross-sectional analysis of 853 Black and Hispanic children from a community-based sample of 2- to 11-year olds with measured heights and weights screened for asthma by the Harlem Children's Zone Asthma Initiative. Current asthma was defined as parent/guardian-reported diagnosis of asthma and asthma-related symptoms or emergency care in the previous 12 months. Among girls, asthma prevalence increased approximately linearly with increasing body mass index (BMI) percentile, from a low of 12.

Addressing the childhood asthma crisis in Harlem: the Harlem Children's Zone Asthma Initiative.

Objectives: We determined the prevalence of asthma and estimated baseline asthma symptoms and asthma management strategies among children aged 0-12 years in Central Harlem.

Methods: The Harlem Children's Zone Asthma Initiative is a longitudinal, community-based intervention designed for poor children with asthma. Children aged 0-12 years who live or go to school in the Harlem Children's Zone Project or who participate in any Harlem Children's Zone, Inc, program were screened for asthma.