Sports analytics in the NFL: classifying the winner of the superbowl.

Sport teams' managers, coaches and players are always looking for new ways to win and stay competitive. The sports analytics field can help teams in gaining a competitive advantage by analyzing historical data and formulating strategies and making data driven decisions regarding game plans, play selection and player recruitment. This work focuses on the application of sports analytics in the National Football League.

Classifying highly imbalanced ICU data.

Highly imbalanced data sets are those where the class of interest is rare. In this paper, we compare the performance of several common data mining methods, logistic regression, discriminant analysis, Classification and Regression Tree (CART) models, C5, and Support Vector Machines (SVM) in predicting the discharge status (alive or deceased, with "deceased" being the class of interest) of patients from an Intensive Care Unit (ICU). Using a variety of misclassification cost ratio (MCR) values and using specificity, recall, precision, the F-measure, and confusion entropy (CEN) as criteria for evaluating each method's performance, C5 and SVM performed better than the other methods.

Central nervous system medication use and incident mobility limitation in community elders: the Health, Aging, and Body Composition study.

Purpose: To evaluate whether CNS medication use in older adults was associated with a higher risk of future incident mobility limitation.

Methods: This 5-year longitudinal cohort study included 3055 participants from the health, aging and body composition (Health ABC) study who were well-functioning at baseline. CNS medication use (benzodiazepine and opioid receptor agonists, antipsychotics, and antidepressants) was determined yearly (except year 4) during in-home or in-clinic interviews.

Provider management of and satisfaction with laboratory testing in the nursing home setting: results of a national internet-based survey.

Objectives: To describe the management of and satisfaction with laboratory testing, and desirability of laboratory health information technology in the nursing home setting.

Design: Cross-sectional study using an Internet-based survey.

Participants And Setting: National sample of 426 nurse practitioners and 308 physicians who practice in the nursing home setting.

Effect of central nervous system medication use on decline in cognition in community-dwelling older adults: findings from the Health, Aging And Body Composition Study.

Objectives: To evaluate whether combined use of multiple central nervous system (CNS) medications over time is associated with cognitive change.

Design: Longitudinal cohort study.

Setting: Pittsburgh, Pennsylvania, and Memphis, Tennessee.

Number and dosage of central nervous system medications on recurrent falls in community elders: the Health, Aging and Body Composition study.

Background: Few studies have examined the risk of multiple or high doses of combined central nervous system (CNS) medication use for recurrent falls in the elderly. The study objective was to evaluate whether multiple- or high-dose CNS medication use in older adults was associated with a higher risk of recurrent (>or=2) falls.

Methods: This longitudinal cohort study included 3,055 participants from the Health, Aging and Body Composition study who were well functioning at baseline.

Assessing the performance characteristics of signals used by a clinical event monitor to detect adverse drug reactions in the nursing home.

Adverse drug reactions (ADRs) are a common cause of morbidity and mortality in the nursing home (NH) setting. Traditional non-automated mechanisms for ADR detection are time-consuming, costly, and fail to detect the majority of ADRs. We describe the implementation and pharmacist evaluation of a clinical event monitor using signals previously developed by our research team to detect potential ADRs in the NH.

Consensus list of signals to detect potential adverse drug reactions in nursing homes.

Objectives: To develop a consensus list of agreed-upon laboratory, pharmacy, and Minimum Data Set signals that a computer system can use in the nursing home to detect potential adverse drug reactions (ADRs).

Design: Literature search for potential ADR signals, followed by an internet-based, a two-round, modified Delphi survey.

Setting: A nationally representative survey of experts in geriatrics.

Improvement in usual gait speed predicts better survival in older adults.

Objectives: To estimate the relationship between 1-year improvement in measures of health and physical function and 8-year survival.

Design: Prospective cohort study.

Setting: Medicare health maintenance organization and Veterans Affairs primary care programs.