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...
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...
Bone age is a measure of the degree of skeletal maturity of a child, i.e. how far the child has advanced in its development of the skeleton.
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...
For the element of “multi-variable analysis with non-radiomics features”, AI can mine subtle information that may reflect heterogeneities of the lesions, but the commonly used clinical characteristics (e.g., PSA, age, family history, and routine habits) also contain information relevant to the...
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...
In contrast, the main reasons for non-disclosure within a family included a desire to protect family members from troubling information, a sense of guilt or anxiety, avoidance of negative implications, youth/immaturity or, conversely, the family member’s advanced age. These could have been the ...
Municipalities committed to being barrier-free and age-friendly should keep in mind the benefits of PAEB use, and support necessary changes to the built environment, as well as policies and infrastructure. There are several policy implications of the work presented in this paper. First, it is ...
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...
Little is known about the genetic risk factors underlying ED onset at different ages. A recent GWAS examined genetic etiology of AN age-of-onset, and compared early onset (defined as <13 years of age) to typical-onset AN [81]. Distinct genetic risk factors were associated with early onset...