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Displaying results 17 - 24 of 199
  • BioSense Platform: Introduction to SAS Studio Basics

    Content Type: Webinar

    Presented December 4, 2018. The Webinar, Introduction of SAS Studio Basics to the BioSense Platform, will include overviews, summaries, tips, tricks, and examples across a number of SAS topics on the BioSense Platform. Some of these topics will… read more
    … December 4, 2018. The Webinar, Introduction of SAS Studio Basics to the BioSense Platform, will include … Via DataMart Connection  Same tables as in Adminer and RStudio Pro  Production Raw, Processed, Exceptions, …
  • New Features in R Markdown & HTML Widgets - Intermediate & Advanced

    Content Type: Webinar

    Presented September 25, 2018. Presenter Edgar Ruiz is a solution's engineer at RStudio that has a background in deploying enterprise reporting and Business Intelligence solutions. He has posted multiple… read more
    … 2018. Presenter Edgar Ruiz is a solution's engineer at RStudio that has a background in deploying enterprise … 2018. Presenter Edgar Ruiz is a solution's engineer at RStudio that has a background in deploying enterprise …
  • MNCH Surveillance-Response Systems Strengthening in Indonesia

    Content Type: Abstract

    During 2007 - 2010 the Center for Health service Management (CHSM) conducted training and consultations to strengthen the Maternal, Neonatal & Child Health (MNCH) Surveillance-Response (S-R) Systems of 10 districts and 5 municipalities of 5… read more
    … the Center for Health service Management (CHSM) conducted training and consultations to strengthen the Maternal, … strengthening was carried out by means of two 2-day training sessions (of approximately one year apart) at the … electronic telecommunication. The subject matter of the training sessions courses and consultations consisted of: …
  • Optimizing Performance of an Ngram Method for Classifying Emergency Department Visits into the Respiratory Syndrome

    Content Type: Abstract

    A number of different methods are currently used to classify patients into syndromic groups based on the patient’s chief complaint (CC). We previously reported results using an “Ngram” text processing program for building classifiers… read more
    … AT&T Labs). The method applies the ICD9 classifier to a training set of ED visits for which both the CC and ICD9 … Ngrams), with associated probabilities, from the training data. We then generate a CC classifier from the … AT&T Labs). The method applies the ICD9 classifier to a training set of ED visits for which both the CC and ICD9 …
  • Limb Elephantiasis as Predictor for the Occurrence and Spread of Lymphatic Filariasis in Kano State, Nigeria

    Content Type: Abstract

    Lymphatic filariasis is one of the most prevalent of the tropical diseases, but is also the most neglected.Though significant advances have been made in the understanding both the disease and its control, there is general lack of information about… read more
    … that could be easily diagnosed by persons with minimum training. Therefore, the prevalence of elephantiasis could …
  • Syndromic Surveillance 101 - Module 2: Evaluation of Syndromic Surveillance Data Systems, and Data Analysis

    Content Type: Training

    An Online Training Course ISDS, in partnership with the Tufts University School of Medicine and Tufts Health Care Institute, has created an online course in syndromic surveillance. This program is designed to increase knowledge and foster… read more
    … An Online Training Course ISDS, in partnership with the Tufts … practitioners new to syndromic surveillance. This training is divided into four one-hour, self-paced modules …
  • Syndromic Surveillance 101 - Module 3: Response Algorithms, Data Display, and Websites

    Content Type: Training

    An Online Training Course ISDS, in partnership with the Tufts University School of Medicine and Tufts Health Care Institute, has created an online course in syndromic surveillance. This program is designed to increase knowledge and foster… read more
    … An Online Training Course ISDS, in partnership with the Tufts … practitioners new to syndromic surveillance. This training is divided into four one-hour, self-paced modules …
  • Learning Outbreak Regions for Bayesian Spatial Biosurveillance

    Content Type: Abstract

    This work incorporates model learning into a Bayesian framework for outbreak detection. Our method learns the spatial characteristics of each outbreak type from a small number of labeled training examples, assuming a generative outbreak model with… read more
    … of each outbreak type from a small number of labeled training examples, assuming a generative outbreak model with … of each outbreak type from a small number of labeled training examples, assuming a generative outbreak model with … steepness parameter h) are learned from a set of labeled training examples. Since each example specifies the outbreak …