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Associative Pattern Mining For Supervised Learning, Harpreet Singh Apr 2010

Associative Pattern Mining For Supervised Learning, Harpreet Singh

Doctoral Dissertations

The Internet era has revolutionized computational sciences and automated data collection techniques, made large amounts of previously inaccessible data available and, consequently, broadened the scope of exploratory computing research. As a result, data mining, which is still an emerging field of research, has gained importance because of its ability to analyze and discover previously unknown, hidden, and useful knowledge from these large amounts of data. One aspect of data mining, known as frequent pattern mining, has recently gained importance due to its ability to find associative relationships among the parts of data, thereby aiding a type of supervised learning known …


Weight Gain Among Adults With Intellectual Disabilities Receiving Atypical Antipsychotics, Sherri Lyn Transier Jan 2010

Weight Gain Among Adults With Intellectual Disabilities Receiving Atypical Antipsychotics, Sherri Lyn Transier

Doctoral Dissertations

The present study assessed whether the atypical antipsychotic agents olanzapine, risperidone, and quetiapine are associated with significant weight gain among adults with intellectual disabilities after 6 months of drug treatment. The body weights of 79 participants were retrieved 6 months prior to the initiation of drug treatment, at the start of the atypical antipsychotic agent, and after 6 months of drug therapy. Each individual served as his or her own control by utilizing pretreatment baseline trends in weight change to calculate a dependent measure of adjusted posttreatment weight gain. Doing so allowed for a stringent determination of the liability for …