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The Journal of Pediatrics, 1971
An analysis of serial skeletal ages assessed by the methods of Greulich and Pyle and Tanner and Whitehouse has shown that the errors of prediction are less for the Greulich-Pyle method than for that of Tanner and Whitehouse. Furthermore, when predictions are made by rectilinear extrapolation from serial skeletal ages, the errors are larger than those ...
A F, Roche, S L, Eyman, G H, Davila
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An analysis of serial skeletal ages assessed by the methods of Greulich and Pyle and Tanner and Whitehouse has shown that the errors of prediction are less for the Greulich-Pyle method than for that of Tanner and Whitehouse. Furthermore, when predictions are made by rectilinear extrapolation from serial skeletal ages, the errors are larger than those ...
A F, Roche, S L, Eyman, G H, Davila
openaire +3 more sources
Maturitas, 1996
This article reviews methodologic and clinical aspects of predicting age at menopause. Lifetable methods or logistic models applied to a perimenopausal population represent the most feasible and the least biased methods for estimating the probability of menopause by age. Information is emerging about risk factors besides age which influence risk for an
D W, Cramer, H, Xu
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This article reviews methodologic and clinical aspects of predicting age at menopause. Lifetable methods or logistic models applied to a perimenopausal population represent the most feasible and the least biased methods for estimating the probability of menopause by age. Information is emerging about risk factors besides age which influence risk for an
D W, Cramer, H, Xu
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Predictive Walking-Age Health Analyzer
IEEE Journal of Biomedical and Health Informatics, 2018A simple, low-power and wearable health analyzer for early identification and management of some diseases is presented. To achieve this goal, we propose a walking pattern analysis system that uses features, such as speed, energy, turn ratio, and bipedal behavior to characterize and classify individuals in distinct walking-ages.
Priyanka Mandal +4 more
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2023
The power of the ever-increasing tools and algorithms for prediction and their paradoxical effects on risk. The Age of Prediction is about two powerful, and symbiotic, trends: the rapid development and use of artificial intelligence and big data to enhance prediction, as well as the often paradoxical effects of these better predictions ...
Igor Tulchinsky, Christopher E. Mason
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The power of the ever-increasing tools and algorithms for prediction and their paradoxical effects on risk. The Age of Prediction is about two powerful, and symbiotic, trends: the rapid development and use of artificial intelligence and big data to enhance prediction, as well as the often paradoxical effects of these better predictions ...
Igor Tulchinsky, Christopher E. Mason
openaire +1 more source
Epigenetic aging: Biological age prediction and informing a mechanistic theory of aging
Journal of Internal Medicine, 2022AbstractNumerous studies have shown that epigenetic age—an individual's degree of aging based on patterns of DNA methylation—can be computed and is associated with an array of factors including diet, lifestyle, genetics, and disease. One can expect that still further associations will emerge with additional aging research, but to what end?
Adam Li, Zane Koch, Trey Ideker
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Age prediction using resting-state functional MRI
Neuroinformatics, 2023ABSTRACTThe increasing lifespan and large individual differences in cognitive capability highlight the importance of comprehending the aging process of the brain. Contrary to visible signs of bodily ageing, like greying of hair and loss of muscle mass, the internal changes that occur within our brains remain less apparent until they impair function ...
Jose Ramon Chang +3 more
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