We carried out a trial designed to assess the performance of a computer program called TrenDx at the task of diagnosing growth disorders in children, given a limited set of data. We compared the performance of TrenDx to that of physicians performing the same task. The task consisted of reviewing a growth chart of a patient and deciding whether the patient should be referred to a growth clinic f...

Computer security, and intrusion detection in particular, has become increasingly important in today’s business environment, to ensure safe and trusted commerce between business partners as well as effective organizational functioning. Various approaches to intrusion detection are currently being utilized, but unfortunately in practice these approaches are relatively ineffective and inefficient...

Detecting temporal trends in large networks has strategic importance in many domains, such as cybersecurity and social media analytics, where the activities of key actors (e.g., activists, terrorists, leaders) are concerned. In a large evolving network, the relationships of actors in the network often change over time. Characterizing these changes can provide important insight on individualand ...

Objective To examine recent trends in type 2 diabetes detection among adults in the USA. Research design and methods We used data from the 1999-2014 National Health and Nutrition Examination Surveys on non-pregnant adults (aged ≥18 years) not reporting a diagnosis of diabetes (n=16 644 participants, averaging about 2000 for each 2-year cycle). We defined undiagnosed diabetes as a fasting plas...

We have written a prototype computer program called TrenDx for automated trend detection during process monitoring. The program uses a representation called trend templates that define disorders as typical patterns of relevant variables. These patterns guide the assignment of primary data to abstracted intervals or phases of the monitored process. TrenDx has been applied to the task of pediatri...