Search Results - "Aronis, John M"

A Bayesian approach for detecting a disease that is not being modeled by Aronis, John M, Ferraro, Jeffrey P, Gesteland, Per H, Tsui, Fuchiang, Ye, Ye, Wagner, Michael M, Cooper, Gregory F

“…Over the past decade, outbreaks of new or reemergent viruses such as severe acute respiratory syndrome (SARS) virus, Middle East respiratory syndrome (MERS)…”
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A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation by Aronis, John M, Ye, Ye, Espino, Jessi, Hochheiser, Harry, Michaels, Marian G, Cooper, Gregory F

“…Background  The early identification of outbreaks of both known and novel influenza-like illnesses (ILIs) is an important public health problem. Objective…”
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A study of the transferability of influenza case detection systems between two large healthcare systems by Ye, Ye, Wagner, Michael M, Cooper, Gregory F, Ferraro, Jeffrey P, Su, Howard, Gesteland, Per H, Haug, Peter J, Millett, Nicholas E, Aronis, John M, Nowalk, Andrew J, Ruiz, Victor M, López Pineda, Arturo, Shi, Lingyun, Van Bree, Rudy, Ginter, Thomas, Tsui, Fuchiang

“…This study evaluates the accuracy and transferability of Bayesian case detection systems (BCD) that use clinical notes from emergency department (ED) to detect…”
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A Bayesian system to detect and characterize overlapping outbreaks by Aronis, John M., Millett, Nicholas E., Wagner, Michael M., Tsui, Fuchiang, Ye, Ye, Ferraro, Jeffrey P., Haug, Peter J., Gesteland, Per H., Cooper, Gregory F.

“…[Display omitted] •We describe a system to model and predict multiple overlapping outbreaks of influenza.•Clinical findings are extracted from patient-care…”
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The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza by Millett, Nicholas E., Aronis, John M., Wagner, Michael M., Tsui, Fuchiang, Ye, Ye, Ferraro, Jeffrey P., Haug, Peter J., Gesteland, Per, Cooper, Gregory F.

“…The prediction and characterization of outbreaks of infectious diseases such as influenza remains an open and important problem.  This paper describes a…”
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Predicting dire outcomes of patients with community acquired pneumonia by Cooper, Gregory F., Abraham, Vijoy, Aliferis, Constantin F., Aronis, John M., Buchanan, Bruce G., Caruana, Richard, Fine, Michael J., Janosky, Janine E., Livingston, Gary, Mitchell, Tom, Monti, Stefano, Spirtes, Peter

“…Community-acquired pneumonia (CAP) is an important clinical condition with regard to patient mortality, patient morbidity, and healthcare resource utilization…”
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Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity by Lee, Yongwon, Buchanan, Bruce G, Aronis, John M

“…In this paper, we report on a multi-year collaboration among computer scientists, toxicologists, chemists, and a statistician, in which the RL induction…”
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Scaling up inductive learning with massive parallelism by Provost, Foster John, Aronis, John M.

“…Machine learning programs need to scale up to very large data sets for several reasons, including increasing accuracy and discovering infrequent special cases…”
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Poinsettia exposures have good outcomes … just as we thought by Krenzelok, Edward P, Jacobsen, T.D, Aronis, John M

“…The poinsettia ( Euphorbia pulcherrima) is a much-maligned plant which is thought by the public and some health professionals to be extremely toxic. Despite…”
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A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases by Aronis, John M., Millett, Nicholas E., Wagner, Michael M., Tsui, Fuchiang, Ye, Ye, Cooper, Gregory F.

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Detecting Overlapping Outbreaks of Influenza by Aronis, John, Millett, Nicholas, Wagner, Michael, Tsui, Fuchiang, Ye, Ye, Ferraro, Jeffrey, Haug, Peter, Cooper, Gregory

“…ntroductionInfluenza is a contagious disease that causes epidemics in manyparts of the world. The World Health Organization estimates thatinfluenza causes…”
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Online Transfer Learning for RSV Case Detection by Sun, Yiming, Gao, Yuhe, Bao, Runxue, Cooper, Gregory F., Espino, Jessi, Hochheiser, Harry, Michaels, Marian G., Aronis, John M., Song, Chenxi, Ye, Ye

“…Transfer learning has become a pivotal technique in machine learning and has proven to be effective in various realworld applications. However, utilizing this…”
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Online Transfer Learning for RSV Case Detection by Sun, Yiming, Gao, Yuhe, Bao, Runxue, Cooper, Gregory F, Espino, Jessi, Hochheiser, Harry, Michaels, Marian G, Aronis, John M, Song, Chenxi, Ye, Ye

“…Transfer learning has become a pivotal technique in machine learning and has proven to be effective in various real-world applications. However, utilizing this…”
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Hybridizing nonmonotonic inheritance with theorem proving by Thomason, Richmond H., Aronis, John M.

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INQUIRY: A Computer Program Based on Rhetorical Theory by Katz, Sandra, Aronis, John M.

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RICHARD: An Interactive Computer Program for Rhetorical Invention by Aronis, John M., Katz, Sandra

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A Retrospective Study of the Effect of a Prognostic Model on the Hospital Admission Decision for Patients with Low Risk Community-acquired Pneumonia by Aronis, John M., Cooper, Gregory F., Fine, Michael J.

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