Using automatic recognition procedure for detecting products from injury DataBase open text records: the case of caustic substances. (1st March 2011)
- Record Type:
- Journal Article
- Title:
- Using automatic recognition procedure for detecting products from injury DataBase open text records: the case of caustic substances. (1st March 2011)
- Main Title:
- Using automatic recognition procedure for detecting products from injury DataBase open text records: the case of caustic substances
- Authors:
- Vignally, P
Fondi, G
Taggi, F
Pitidis, A - Abstract:
- Abstract : Objective: In Italy the EU Injury DataBase (IDB) reports chemical products in 0.9% of home and leisure accidents. The whole European sample reports a similar figure for injury by chemical effect and 0.2% for chemical corrosion injuries. A simplified ED registry on home accidents. The 90% of toxic exposures occur at home. The aim of study is monitoring caustic effects in Italy using automatic recognition of free-text in ED medical databases. Methods: We created a Stata software program to automatically identify caustic or corrosive injury cases. The procedure has to recognise caustic or corrosive agent within the free text using a agent specific list of keywords. In order to assess the capacity of recognition of this expert system we focused the attention on the sensibility and specificity of the procedure. Results: 10 hospitals of 6 regions participated at the study. The program identified 112 cases of injury by caustic agents. Checking the cases by quality controls we assessed 99 cases as true positive cases, as to say 0.59% (99% CI 0.45–.76) of the total sample, almost three folds greater than the expected value (p<0.000) from European codified information. False positives were 11.6% of the recognised cases (99% CI 5.1% to 21.5%). Conclusion: Contrary to our a priori hypothesis the automatic recognition consented a level of individuation of agents with caustic effects significantly much greater than what expected according to the values from currentAbstract : Objective: In Italy the EU Injury DataBase (IDB) reports chemical products in 0.9% of home and leisure accidents. The whole European sample reports a similar figure for injury by chemical effect and 0.2% for chemical corrosion injuries. A simplified ED registry on home accidents. The 90% of toxic exposures occur at home. The aim of study is monitoring caustic effects in Italy using automatic recognition of free-text in ED medical databases. Methods: We created a Stata software program to automatically identify caustic or corrosive injury cases. The procedure has to recognise caustic or corrosive agent within the free text using a agent specific list of keywords. In order to assess the capacity of recognition of this expert system we focused the attention on the sensibility and specificity of the procedure. Results: 10 hospitals of 6 regions participated at the study. The program identified 112 cases of injury by caustic agents. Checking the cases by quality controls we assessed 99 cases as true positive cases, as to say 0.59% (99% CI 0.45–.76) of the total sample, almost three folds greater than the expected value (p<0.000) from European codified information. False positives were 11.6% of the recognised cases (99% CI 5.1% to 21.5%). Conclusion: Contrary to our a priori hypothesis the automatic recognition consented a level of individuation of agents with caustic effects significantly much greater than what expected according to the values from current codifications reported in the European database. … (more)
- Is Part Of:
- Injury prevention. Volume 16(2010)Supplement 1
- Journal:
- Injury prevention
- Issue:
- Volume 16(2010)Supplement 1
- Issue Display:
- Volume 16, Issue 1 (2010)
- Year:
- 2010
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2010-0016-0001-0000
- Page Start:
- A260
- Page End:
- A260
- Publication Date:
- 2011-03-01
- Subjects:
- Children's accidents -- Prevention -- Periodicals
Accidents -- Prevention -- Periodicals
617.1 - Journal URLs:
- http://ip.bmjjournals.com ↗
http://www.injuryprevention.com ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/ip.2010.029215.924 ↗
- Languages:
- English
- ISSNs:
- 1353-8047
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25788.xml