A review of machine learning in obesity
Rich sources of obesity‐related data arising from sensors, smartphone apps, electronic
medical health records and insurance data can bring new insights for understanding …
medical health records and insurance data can bring new insights for understanding …
Childhood obesity: how long should we wait to predict weight?
Obesity is highly prevalent in children under the age of 5 years, although its identification in
infants under 2 years remains difficult. Several clinical prediction models have been …
infants under 2 years remains difficult. Several clinical prediction models have been …
Machine learning-based method for obesity risk evaluation using single-nucleotide polymorphisms derived from next-generation sequencing
Obesity is a major risk factor for many metabolic diseases. To understand the genetic
characteristics of obese individuals, single-nucleotide polymorphisms (SNPs) derived from …
characteristics of obese individuals, single-nucleotide polymorphisms (SNPs) derived from …
Machine learning for the classification of obesity from dietary and physical activity patterns
AS Selya, D Anshutz - Advanced Data Analytics in Health, 2018 - Springer
Conventional epidemiological analyses in health-related research have been successful in
identifying individual risk factors for adverse health outcomes, eg cigarettes' effect on lung …
identifying individual risk factors for adverse health outcomes, eg cigarettes' effect on lung …
[PDF][PDF] A Data-analytical System to Predict Therapy Success for Obese Children
Childhood obesity is an increasingly pervasive problem. Traditional therapy programs are
time-and cost-intensive. Furthermore, success of therapy is often not guaranteed. Typically …
time-and cost-intensive. Furthermore, success of therapy is often not guaranteed. Typically …
[PDF][PDF] Uso de Aprendizaje de Máquinas para el Estudio de la Obesidad en Chile
MBA JEREZ - 2018 - cimt.uchile.cl
“Uso de Aprendizaje de Máquinas para el Estudio de la Obesidad en Chile” MARCELA
BETSABETH AGUIRRE JEREZ Page 1 1 UNIVERSIDAD DE CHILE FACULTAD DE …
BETSABETH AGUIRRE JEREZ Page 1 1 UNIVERSIDAD DE CHILE FACULTAD DE …
[PDF][PDF] Novel pharmacometric techniques to quantify the pharmacodynamics of
SC Goulooze - AAPS journal, 2018 - scholarlypublications …
12.1 Achtergrond Ons gebrek aan kwantitatieve kennis van de farmacodynamiek van
pijnstillers verhinderd ons om de beste farmacotherapeutische behandeling te voorspellen …
pijnstillers verhinderd ons om de beste farmacotherapeutische behandeling te voorspellen …
[引用][C] Adapting an evidence-based diagnostic model for predicting recurrence risk factors of oral cancer
CS Cheng, PW Shueng, CC Chang… - Journal of Universal …, 2018 - ir.csmu.edu.tw
Although the relationship between prognosis and oral cancer has been extensively
investigated, its impact on recurrence and surgical margin has not been well studied …
investigated, its impact on recurrence and surgical margin has not been well studied …
[引用][C] Food and Nutrition Public Policy in Australia: A diversity of views amongst stakeholders
T Stanley - 2018 - espace.library.uq.edu.au
Advancing food and nutrition public policy in Australia is essential to halt the increasing
prevalence of obesity and associated non-communicable diseases. Developing policy in …
prevalence of obesity and associated non-communicable diseases. Developing policy in …