JOURNAL OF PEDIATRIC AND ADOLESCENT GYNECOLOGY: AT WHAT AGE SHOULD A VIRGINAL ADOLESCENT HAVE HER FIRST PELVIC EXAMINATION?doi:10.1016/S1083-3188(96)71316-5An abstract is unavailable.Grace, EsterannPokorny, Susan F.Brown, Robert T.Hilard, Paula...
Data quality: The adage “garbage in, garbage out” applies to machine learning—the quality of data is critical, during both the training phase and in production. High-quality data can lead to more accurate results delivered in a timely, efficient manner; low-quality data can create inaccurac...
An example of linear regression is seen in pediatric care, where different data points can predict a child’s height and weight based on historical data. Similarly, BMI is linear regression that attempts to correlate height and weight to overall body fat. Because the algorithm uses a simple ...
Pediatricians regularly gauge the vital signs of their patients for indications that something might be wrong. As a child ages from neonatal age to adolescence, the definition changes for what are considered normal pediatric vital signs. For a toddler, many physicians agree that a waking heart rate...
This is consistent with other BiB research projects given the wide range of multiple languages spoken in the city and therefore need for multiple translations, the challenge of accurately translating questions to retain their original intent and meaning and the limited research capacity to translate ...
For children 5 years of age and older, the PedsQL (Pediatric Quality of Life Inventory) 4.0 Generic Core Scales were used to measure health-related qual- ity of life (HRQOL)23 in the four core health dimensions out- lined by the World Health Organization (physical, emotional, social, and...
the true values will be within the indicated range with 68% probability. The predictor is intended to be used with Greulich-Pyle (GP) bone age determined by BoneXpert; however, it can also be used with manual GP bone age, but the uncertainties of the predictions are then considerably larger...
Distinct genetic risk factors were associated with early onset compared to typical onset, including a potentially causal correlation between younger age at menarche and early onset, and associations between typical age of onset and a range of anthropometric traits [81]. No explicit research exists on...
Data quality: The adage “garbage in, garbage out” applies to machine learning—the quality of data is critical, during both the training phase and in production. High-quality data can lead to more accurate results delivered in a timely, efficient manner; low-quality data can create inaccurac...
The evidence can range from randomized controlled trial (RCT) or systematic review, to case-control study, case series, a consensus of old professors, individual cases (anecdotes), or something “a friend (or grandma) once told me.” Obviously, not all evidence is created equal. In assessing...