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Total 32 results found since Jan 2013.

What is machine learning?
The term machine learning (ML) is emerging more often in the medical literature. There are successful clinical applications of ML with the specialties of ophthalmology and radiology leading the way. For example, in ophthalmology the diagnosis of diabetic retinopathy and retinopathy of prematurity,1 and in radiology the diagnosis of stroke or cancers from digital images is promising.2 This success is expected to expand into other medical disciplines including general paediatrics and its subspecialties. Therefore, healthcare practitioners and researchers are most likely to benefit from getting familiar with ML terminology in...
Source: Archives of Disease in Childhood - Education and Practice - September 19, 2022 Category: Pediatrics Authors: Baloglu, O., Latifi, S. Q., Nazha, A. Tags: Research in practice Source Type: research

Extreme Heat Makes It Hard for Kids To Be Active. But Exercise Is Crucial In a Warming World
Getting kids to be active in a modern world is a tough sell. It can be hard to compete with indoor comforts like video games, television, and air conditioning. Sweltering weather is another formidable barrier to kids getting enough physical activity, finds a new scientific review published in the journal Temperature that analyzed more than 150 studies. Children today are about 30% less aerobically fit than their parents were at their same age, leaving them less prepared to acclimate to a hotter, more extreme climate as they age, the study concluded. “The outside world is becoming more of an extreme environment for hu...
Source: TIME: Health - August 5, 2022 Category: Consumer Health News Authors: Tara Law Tags: Uncategorized Exercise & Fitness healthscienceclimate Source Type: news

Late effects of childhood cancer recorded at a single outpatient clinic over the course of one year: implications for the follow-up care
Neoplasma. 2022 Jul 13:220531N584. doi: 10.4149/neo_2022_220531N584. Online ahead of print.ABSTRACTSystematic registration and analysis of detailed treatment data and data on late effects in survivors of childhood cancer are important both for building the evidence base for future assessment of current innovative therapies in pediatric oncology and for personalization of preventive care for survivors of childhood cancer. The paper provides a descriptive analysis of medical data (diagnosis, treatment, late effects, and health status) and selected patient-reported outcomes (mental health and psychosocial well-being) from a s...
Source: Neoplasma - July 12, 2022 Category: Cancer & Oncology Authors: Tomas Kepak Hana Hrstkova Vitezslav Dusek Marta Holikova Lucie Strublova Katerina Kepakova Source Type: research