PURPOSE This study investigates whether data available at the time of residency application can be used to predict more accurately future problems of performance, both during and after residency. METHOD The authors identified all residents with reported problematic behavior across 20 years (1987-2007) at a single residency program and created a set of matched controls. Problems were further d...

Key models relating personality and health predict that personality in childhood is indicative of later health and longevity. Longevity predictions are tested using data derived from the 7-decade longitudinal study initiated by L. M. Terman 1921 (L. M. Terman & M. H. Oden, 1947). Variables representing major dimensions of personality are used in statistical survival analyses of longevity in 1,1...

BACKGROUND Bronchial thermoplasty (BT) is an emerging bronchoscopic intervention for the treatment of severe asthma. The predictive factors for clinical response to BT are unknown. We examined the relationship between the number of radiofrequency activations applied and the treatment response observed. METHODS Data were collected from 24 consecutive cases treated at three Australian centres f...

In the current study we show that non-verbal food-evoked emotion scores significantly improve food choice prediction over merely liking scores. Previous research has shown that liking measures correlate with choice. However, liking is no strong predictor for food choice in real life environments. Therefore, the focus within recent studies shifted towards using emotion-profiling methods that suc...

“We are able to predict what a player in a game will do based on his or her previous behavior, with up to 80 percent accuracy,” says Brent Harrison, a Ph.D. student at NC State and co-author of a paper describing the research. The research team developed the data-driven predictive method by analyzing the behavior of 14,000 players in the massively multiplayer online role-playing game (MMORPG) W...

OBJECTIVE To describe risk factors associated with microalbuminuria (MA) in subjects with diabetes, investigate the predictive value of MA as a marker of risk for diabetic nephropathy (DN), and define risk factors associated with the development and progression of MA. RESEARCH DESIGN AND METHODS We conducted a prospective longitudinal study of 23 diabetic subjects with persistent MA and 209 d...

Baseline glucocorticoid (cort) levels are increasingly employed as physiological indices of the relative condition or health of individuals and populations. Often, high cort levels are assumed to indicate an individual or population in poor condition and with low relative fitness (the Cort-Fitness Hypothesis). We review empirical support for this assumption, and find that variation in levels of...

Obtain greater throughput, reduced variability, and increased profitability by using DeltaVTM Predict and DeltaVTM PredictPro to implement multivariable model predictive control strategies. DeltaV Predict and PredictPro use the power of dynamic matrix control to easily address process interaction and difficult dynamics. Since DeltaV Predict and PredictPro are fully embedded in the DeltaV system...

STUDY OBJECTIVE To evaluate psychological distress as a predictor of disability due to common chronic disorders. STUDY POPULATION AND METHODS A 10-year follow-up study was carried out among a representative cohort (N = 8655) of 18-64 year old Finnish farmers, who had participated in a health survey in 1979 and were able to work at baseline. A record linkage with the nationwide register of the...

How well do classification images characterize human observers' strategies in perceptual tasks? We show mathematically that from the classification image of a noisy linear observer, it is possible to recover the observer's absolute efficiency. If we could similarly predict human observers' performance from their classification images, this would suggest that the linear model that underlies use ...