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The `1-regularized maximum likelihood estimation problem has recently become a topic of great interest within the machine learning, statistics, and optimization communities as a method for producing sparse inverse covariance estimators. In this paper, a proximal gradient method (G-ISTA) for performing `1-regularized covariance matrix estimation is(More)
Automatic detection and classification of arrhythmia in electrocardiograms (ECG) provides a framework for efficient diagnosis and broader outreach to patients at risk for cardiac diseases. While prevalent types of arrhythmia include premature ventricular contractions (PVC) and atrial fibrillation, the majority of existing literature focuses on automatic(More)
AIM To discover the attitudes of mothers of young children towards community pharmacists, and mothers' use of community pharmacies for childhood illnesses OBJECTIVES To discover how frequently mothers visit pharmacies; for which childhood complaints they tend to consult a pharmacist first, rather than other health professionals; to identify how helpful(More)
The Attentional Control Theory (ACT) proposes that high-anxious individuals maintain performance effectiveness (accuracy) at the expense of processing efficiency (response time), in particular, the two central executive functions of inhibition and shifting. In contrast, research has generally failed to consider the third executive function which relates to(More)
AIMS AND OBJECTIVES To examine how communication between nurses and doctors occurred for managing medications in inpatient paediatric settings. BACKGROUND Communication between health professionals influences medication incidents' occurrence and safe care. DESIGN An ethnographic study was undertaken. METHODS Semi-structured interviews, observations(More)
  • Ian Wong
  • Journal of health services research & policy
  • 2010
The study, first published in 2007, tried to identify interventions introduced to reduce dose calculation errors in newborn infant and child patients and then to assess their impact on patient care. To do this, the researchers studied existing research, surveyed health care professionals, observed selected interventions and then attempted to do an economic(More)
The `1-regularized maximum likelihood estimation problem has recently become a topic of great interest within the machine learning, statistics, and optimization communities as a method for producing sparse inverse covariance estimators. In this paper, a proximal gradient method (G-ISTA) for performing `1-regularized covariance matrix estimation is(More)
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