نتایج جستجو برای: age prediction

تعداد نتایج: 996073  

Journal: :Journal of animal science 2008
C R Raines M E Dikeman J A Unruh M C Hunt R C Knock

This research explores the relationship between generally accepted and alternative cattle age-prediction methods and chronological age. Cattle (n = 386) of documented ages ranging from 370 to 1,115 d of age were used. Dentition (DEN), USDA maturity score (MS), lens weight (LW), and lens total N (LN) content were used as possible predictors of age. Correlations with age were determined: LW (r = ...

2015
pantElis thEodoros nikolaidis Johnny padulo hamdi chtourou gEma torrEs-luquE José afonso Jan hEllEr

Purpose. Although maximal heart rate (HRmax) is used widely to assess exercise intensity in training, there are limited data with regards to the validity of age-based prediction equations of HRmax in volleyball players. Therefore, the aim of the present study was to compare the measured-HRmax of two prediction equations (Fox-HRmax = 220 − age and Tanaka-HRmax = 208 − 0.7 × age) in young female ...

2011
Dong Nguyen Noah A. Smith Carolyn Penstein Rosé

While the study of the connection between discourse patterns and personal identification is decades old, the study of these patterns using language technologies is relatively recent. In that more recent tradition we frame author age prediction from text as a regression problem. We explore the same task using three very different genres of data simultaneously: blogs, telephone conversations, and...

Journal: :Research in Computing Science 2016
Seifeddine Mechti Maher Jaoua Rim Faiz Heni Bouhamed Lamia Hadrich Belguith

In this study, we present a new method for profiling the author of an anonymous English text. The aim of author profiling is to determine demographic (age, gender, region, education level) and psychological (personality, mental health) properties of the authors of a text, especially authors of user generated content in social media. To obtain the best classification, authors resort to machine l...

Journal: :CoRR 2018
Hongming Li Theodore D. Satterthwaite Yong Fan

Brain age prediction based on neuroimaging data could help characterize both the typical brain development and neuropsychiatric disorders. Pattern recognition models built upon functional connectivity (FC) measures derived from resting state fMRI (rsfMRI) data have been successfully used to predict the brain age. However, most existing studies focus on coarse-grained FC measures between brain r...

Journal: :Adapted physical activity quarterly : APAQ 2011
Stamatis Agiovlasitis Kenneth H Pitetti Myriam Guerra Bo Fernhall

This study examined whether 20-m shuttle-run performance, sex, body mass index (BMI), age, height, and weight are associated with peak oxygen uptake (VO2peak) in youth with Down syndrome (DS; n = 53; 25 women, age 8-20 years) and whether these variables can be used to develop an equation to predict VO2peak. BMI, 20-m shuttle-run performance, and sex were significantly associated with VO2peak in...

Journal: :The British journal of nutrition 1991
P Deurenberg J A Weststrate J C Seidell

In 1229 subjects, 521 males and 708 females, with a wide range in body mass index (BMI; 13.9-40.9 kg/m2), and an age range of 7-83 years, body composition was determined by densitometry and anthropometry. The relationship between densitometrically-determined body fat percentage (BF%) and BMI, taking age and sex (males = 1, females = 0) into account, was analysed. For children aged 15 years and ...

Journal: :Forensic science international 2015
Sara Tangmose Patrick Thevissen Niels Lynnerup Guy Willems Jesper Boldsen

A radiographic assessment of third molar development is essential for differentiating between juveniles and adolescents in forensic age estimations. As the developmental stages of third molars are highly correlated, age estimates based on a combination of a full set of third molar scores are statistically complicated. Transition analysis (TA) is a statistical method developed for estimating age...

2014
Linus B. Grabenhenrich Andreas Reich Felix Fischer Fred Zepp Johannes Forster Antje Schuster Carl-Peter Bauer Renate L. Bergmann Karl E. Bergmann Ulrich Wahn Thomas Keil Susanne Lau

BACKGROUND A novel non-invasive asthma prediction tool from the Leicester Cohort, UK, forecasts asthma at age 8 years based on 10 predictors assessed in early childhood, including current respiratory symptoms, eczema, and parental history of asthma. OBJECTIVE We aimed to externally validate the proposed asthma prediction method in a German birth cohort. METHODS The MAS-90 study (Multicentre...

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