Details
| Original language | English |
|---|---|
| Title of host publication | Electronic Healthcare - Third International Conference, eHealth 2010, Revised Selected Papers |
| Pages | 10-17 |
| Number of pages | 8 |
| Publication status | Published - 2011 |
| Event | 3rd International ICST Conference on Electronic Healthcare, eHealth 2010, Co-located with the 5th International Workshop on Personalization for eHealth, Pers4eHealth2010, and the 6th Workshop on Agents Applied in Healthcare, A2HC2010 - Casablanca, Morocco Duration: 13 Dec 2010 → 15 Dec 2010 |
Publication series
| Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering |
|---|---|
| Volume | 69 LNICST |
| ISSN (Print) | 1867-8211 |
Abstract
Recent pandemics such as Swine Flu, have caused concern for public health officials. Given the ever increasing pace at which infectious diseases can spread globally, officials must be prepared to react sooner and with greater epidemic intelligence gathering capabilities. However, state-of-the-art systems for Epidemic Intelligence have not kept the pace with the growing need for more robust public health event detection. In this paper, we propose an approach that shifts the paradigm for how public health events are detected. Instead of manually enumerating linguistic patterns to detect public health events in human language text (pattern matching); we propose the use of a statistical approaches, which instead learn the patterns of public health events in an automatic or unsupervised way.
Keywords
- Epidemic Intelligence, Surveillance and Analysis
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
Sustainable Development Goals
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Electronic Healthcare - Third International Conference, eHealth 2010, Revised Selected Papers. 2011. p. 10-17 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 69 LNICST).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Detecting public health indicators from the web for epidemic intelligence
AU - Stewart, Avaré
AU - Fisichella, Marco
AU - Denecke, Kerstin
PY - 2011
Y1 - 2011
N2 - Recent pandemics such as Swine Flu, have caused concern for public health officials. Given the ever increasing pace at which infectious diseases can spread globally, officials must be prepared to react sooner and with greater epidemic intelligence gathering capabilities. However, state-of-the-art systems for Epidemic Intelligence have not kept the pace with the growing need for more robust public health event detection. In this paper, we propose an approach that shifts the paradigm for how public health events are detected. Instead of manually enumerating linguistic patterns to detect public health events in human language text (pattern matching); we propose the use of a statistical approaches, which instead learn the patterns of public health events in an automatic or unsupervised way.
AB - Recent pandemics such as Swine Flu, have caused concern for public health officials. Given the ever increasing pace at which infectious diseases can spread globally, officials must be prepared to react sooner and with greater epidemic intelligence gathering capabilities. However, state-of-the-art systems for Epidemic Intelligence have not kept the pace with the growing need for more robust public health event detection. In this paper, we propose an approach that shifts the paradigm for how public health events are detected. Instead of manually enumerating linguistic patterns to detect public health events in human language text (pattern matching); we propose the use of a statistical approaches, which instead learn the patterns of public health events in an automatic or unsupervised way.
KW - Epidemic Intelligence
KW - Surveillance and Analysis
UR - http://www.scopus.com/inward/record.url?scp=84885890383&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-23635-8_2
DO - 10.1007/978-3-642-23635-8_2
M3 - Conference contribution
AN - SCOPUS:84885890383
SN - 9783642236341
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
SP - 10
EP - 17
BT - Electronic Healthcare - Third International Conference, eHealth 2010, Revised Selected Papers
T2 - 3rd International ICST Conference on Electronic Healthcare, eHealth 2010, Co-located with the 5th International Workshop on Personalization for eHealth, Pers4eHealth2010, and the 6th Workshop on Agents Applied in Healthcare, A2HC2010
Y2 - 13 December 2010 through 15 December 2010
ER -