Jeremy U. Espino

发表

Using a distributed search engine to identify optimal product sets for use in an outbreak detection system

Ye Ye, Panos K. Chrysanthis, Fu-Chiang Tsui, 2012, 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom).

Case Detection Algorithms

Michael M. Wagner, Fu-Chiang Tsui, Jeremy U. Espino, 2006, Handbook of Biosurveillance.

Telephone Triage: A Timely Data Source for Surveillance of Influenza-like Diseases

Michael M. Wagner, William R. Hogan, Jeremy U. Espino, 2003, AMIA.

The center for causal discovery of biomedical knowledge from big data

Richard Scheines, Gregory F. Cooper, Clark Glymour, 2015, J. Am. Medical Informatics Assoc..

Selection of a Database Engine for the National Master Patient Index of Malawi

Gerald P. Douglas, Mwatha Bwanali, Jeremy U. Espino, 2015, AMIA.

Developing syndrome definitions based on consensus and current use

William B. Lober, Anya Okhmatovskaia, Mikaela Keller, 2010, J. Am. Medical Informatics Assoc..

Research and applications: Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers

Ye Ye, Qi Li, Michael M. Wagner, 2014, J. Am. Medical Informatics Assoc..

Detecting anomalous patterns in pharmacy retail data

Andrew W. Moore, Daniel B. Neill, Michael M. Wagner, 2005 .

Biosurveillance using Routinely-collected Outpatient Data in Malawi

Gerald P. Douglas, Jeremy U. Espino, Soyapi L. Mumba, 2013, AMIA.

Application of Information Technology: Automated Syndromic Surveillance for the 2002 Winter Olympics

Andrew W. Moore, Reed M. Gardner, Wendy W. Chapman, 2003, J. Am. Medical Informatics Assoc..

A Simple Bayesian Network for Tuberculosis Detection

Michael M. Wagner, Fu-Chiang Tsui, Jeremy U. Espino, 2002, AMIA.

Key Design Elements of a Data Utility for National Biosurveillance: Event-driven Architecture, Caching, and Web Service Model

Michael M. Wagner, Fu-Chiang Tsui, Jeremy U. Espino, 2005, AMIA.

Probabilistic, Decision-theoretic Disease Surveillance and Control

Michael Wagner, Yang Hu, Shawn T. Brown, 2011, Online journal of public health informatics.

Roundtable on bioterrorism detection: information system-based surveillance.

William B. Lober, J. Marc Overhage, Bryant Thomas Karras, 2002, Journal of the American Medical Informatics Association : JAMIA.

Information System-based Surveillance

William B. Lober, J. Marc Overhage, Lisa J. Trigg, 2002 .

Technical Description of RODS: A Real-time Public Health Surveillance System

Michael M. Wagner, Fu-Chiang Tsui, Jeremy U. Espino, 2003, Journal of the American Medical Informatics Association.

A Z-Score Based Multi-level Spatial Clustering Algorithm for the Detection of Disease Outbreaks

Fu-Chiang Tsui, Jialan Que, Jeremy U. Espino, 2008, BioSecure.

CHAPTER 33 – Architecture

Michael M. Wagner, Jeremy U. Espino, 2006 .

Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System

Andrew W. Moore, Zhen Liu, Weng-Keen Wong, 2002, AMIA.

Design and implementation of a clinical laboratory information system in a low-resource setting

Gerald P. Douglas, Jeremy U. Espino, Chimwemwe Kachaje, 2019, African journal of laboratory medicine.

A method for detecting and characterizing outbreaks of infectious disease from clinical reports

Gregory F. Cooper, Ricardo Villamarín-Salomón, Michael M. Wagner, 2015, J. Biomed. Informatics.

Brief communication: PaTH: towards a learning health system in the Mid-Atlantic region

Michael J. Becich, Harold P. Lehmann, Fu-Chiang Tsui, 2014, J. Am. Medical Informatics Assoc..

A Decision-Theoretic Model of Disease Surveillance and Control and a Prototype Implementation for the Disease Influenza

Gregory F. Cooper, Ricardo Villamarín-Salomón, Michael M. Wagner, 2012, 2012 IEEE 28th International Conference on Data Engineering Workshops.

Integrating Touchscreen Laboratory Order-Entry with OpenELIS: An Exercise in Interoperability

William B. Lober, Gerald P. Douglas, Jeremy U. Espino, 2013, American Medical Informatics Association Annual Symposium.

Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 Olympic Winter Games

Peter J. Haug, Reed M. Gardner, Wendy W. Chapman, 2002, AMIA.

An analytics appliance for identifying (near) optimal over-the-counter medicine products as health indicators for influenza surveillance

Ye Ye, Panos K. Chrysanthis, Fu-Chiang Tsui, 2015, Inf. Syst..

Accuracy of ICD-9-coded chief complaints and diagnoses for the detection of acute respiratory illness

Michael M. Wagner, Jeremy U. Espino, M. Wagner, 2001, AMIA.

An overview of the medical informatics curriculum in medical schools

Jeremy U. Espino, Martin G. Levine, J. Espino, 1998, AMIA.

SyCo: A Probabilistic Machine Learning Method for Classifying Chief Complaints into Symptom and Syndrome Categories

Gregory F. Cooper, Peter Sutovsky, Michael M. Wagner, 2006 .

A method for estimating from thermometer sales the incidence of diseases that are symptomatically similar to influenza

Gregory F. Cooper, Ricardo Villamarín-Salomón, Michael M. Wagner, 2013, J. Biomed. Informatics.

The RODS Open Source Project: Removing a Barrier to Syndromic Surveillance

Zhen Liu, Wendy W. Chapman, Lili Ma, 2004, MedInfo.

PaTH: towards a learning health system in the Mid-Atlantic region

Michael J. Becich, Harold P. Lehmann, Fu-Chiang Tsui, 2014, Journal of the American Medical Informatics Association : JAMIA.

The Role of Clinical Event Monitors in Public Health Surveillance

Fu-Chiang Tsui, Jeremy U. Espino, Lee H. Harrison, 2002 .

Association of Over-The-Counter Pharmaceutical Sales with Influenza-Like-Illnesses to Patient Volume in an Urgent Care Setting

Fu-Chiang Tsui, Jeremy U. Espino, Joe Suyama, 2013, PloS one.

Automated Syndromic Surveillance for the 2002 Winter Olympics: Table 1

Reed M. Gardner, Wendy W. Chapman, Michael M. Wagner, 2003 .

Probabilistic Case Detection for Disease Surveillance Using Data in Electronic Medical Records

Jialan Que, Jeremy U. Espino, Qi Li, 2011, Online Journal of Public Health Informatics.