An Ontological Framework to Improve Surveillance of Adverse Childhood Experiences (ACEs).

Adverse Childhood Experiences (ACEs) have been proven to be linked to increased risks of a multitude of negative health outcomes and conditions when children reach adulthood and beyond. To better understand the relationship between ACEs and the associated health outcomes and eventually to pan and implement preventive interventions, access to an integrated coherent actionable data set is crucial. In this paper, we introduce a formal reusable ontological framework to capture the knowledge in the domain of Adverse Childhood Experiences to improve ACEs surveillance and response.

Association of Maternal Social Relationships With Cognitive Development in Early Childhood.

Importance: This study examines how different types of social network structures are associated with early cognitive development in children.

Objectives: To assess how social relationships and structures are associated with early cognitive development and to elucidate whether variations in the mother's social networks alter a child's early cognitive development patterns.

Design, Setting, And Participants: This cohort study used data from 1082 mother-child pairs in the University of Tennessee Health Science Center-Conditions Affecting Neurocognitive Development and Learning and Early Childhood project to examine the association between networks of different levels of complexity (triad, family, and neighborhood) and child cognitive performance after adjustment for the mother's IQ, birth weight, and age, and the father's educational level.

Geo-Distinctive Comorbidity Networks of Pediatric Asthma.

Most pediatric asthma cases occur in complex interdependencies, exhibiting complex manifestation of multiple symptoms. Studying asthma comorbidities can help to better understand the etiology pathway of the disease. Albeit such relations of co-expressed symptoms and their interactions have been highlighted recently, empirical investigation has not been rigorously applied to pediatric asthma cases.

A novel risk classification system for 30-day mortality in children undergoing surgery.

A simple, objective and accurate way of grouping children undergoing surgery into clinically relevant risk groups is needed. The purpose of this study, is to develop and validate a preoperative risk classification system for postsurgical 30-day mortality for children undergoing a wide variety of operations. The National Surgical Quality Improvement Project-Pediatric participant use file data for calendar years 2012-2014 was analyzed to determine preoperative variables most associated with death within 30 days of operation (D30).

PopHR: a knowledge-based platform to support integration, analysis, and visualization of population health data.

Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of population health. Consequentially, these systems can provide only basic support for decision makers.