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1.  Factors contributing to anxious driving behavior: The role of stress history and accident severity 
Journal of anxiety disorders  2011;25(4):592-598.
Although fear and travel avoidance among anxious drivers are well documented, relatively little is known about the behavior of anxious individuals who continue to drive. Previous research has identified three broad domains of anxious driving behavior: exaggerated safety/caution behaviors, anxiety-based performance deficits, and hostile/aggressive driving behaviors. In an effort to explicate factors associated with the development of anxious driving behaviors, associations with objective accident severity, accident-related distress, and life stress history were explored among individuals reporting accident involvement (N = 317). Interactive effects of accident distress and self-reported stress history were noted across all three domains of anxious driving behavior. Examination of these effects indicates unique associations between accident distress and anxious behavior only in those reporting more severe life stress. Consistent with contemporary models of anxiety, these data suggest stress history may serve as a general vulnerability factor for development of anxious driving behavior following accident involvement.
doi:10.1016/j.janxdis.2011.01.008
PMCID: PMC3075497  PMID: 21377829
driving anxiety; driving behavior; life stress; motor vehicle accidents
2.  Using Ensemble Models to Classify the Sentiment Expressed in Suicide Notes 
Biomedical Informatics Insights  2012;5(Suppl. 1):77-85.
In 2007, suicide was the tenth leading cause of death in the U.S. Given the significance of this problem, suicide was the focus of the 2011 Informatics for Integrating Biology and the Bedside (i2b2) Natural Language Processing (NLP) shared task competition (track two). Specifically, the challenge concentrated on sentiment analysis, predicting the presence or absence of 15 emotions (labels) simultaneously in a collection of suicide notes spanning over 70 years. Our team explored multiple approaches combining regular expression-based rules, statistical text mining (STM), and an approach that applies weights to text while accounting for multiple labels. Our best submission used an ensemble of both rules and STM models to achieve a micro-averaged F1 score of 0.5023, slightly above the mean from the 26 teams that competed (0.4875).
doi:10.4137/BII.S8931
PMCID: PMC3409473  PMID: 22879763
sentiment analysis; machine learning; text analysis; i2b2 competition
3.  Women with PTSD have lower basal salivary cortisol levels later in the day than do men with PTSD: A preliminary study 
Physiology & behavior  2009;99(2):234-236.
Acute stress responses of women are typically more reactive than that of men. Women, compared to men, may be more vulnerable to posttraumatic stress disorder (PTSD). Whether there are differences between women and men with PTSD in levels of the stress hormone, cortisol, was investigated in a pilot study.
Methods
women (n=6) and men (n=3) motor vehicle accident (MVA) survivors, with PTSD, had saliva collected at 1400 h, 1800 h, and 2200 h. Cortisol levels in saliva were measured by radioimmunoassay. An interaction between gender and time of sample collection was observed due to women’s cortisol levels being lower and decreasing over time, whereas men’s levels were higher and increased across time of day of collection. Results of this pilot study suggest a difference in the pattern of disruption of glucocorticoid secretion among women and men with PTSD. Women had greater suppression of their basal cortisol levels than did men; however, the diurnal pattern for cortisol levels to decline throughout the day was observed among the women but not the men.
doi:10.1016/j.physbeh.2009.06.002
PMCID: PMC3233759  PMID: 19524600
Cortisol; Glucocorticoid; PTSD; Motor vehicle accident; MVA; Gender

Results 1-3 (3)