Literature DB >> 17947621

Medical i2b2 NLP smoking challenge: the A-Life system architecture and methodology.

Daniel T Heinze1, Mark L Morsch, Brian C Potter, Ronald E Sheffer.   

Abstract

We describe the architecture of LifeCode (A-Life Medical, Inc.), a natural language processing system for free-text clinical information extraction, our methodology in applying LifeCode to the i2b2 smoking challenge, and statistical measures for performance evaluation. Due to the limited test size and the coefficient of variation in the test standard, it is difficult to draw conclusions regarding the relative efficacy of approaches that were applied to this challenge.

Mesh:

Year:  2007        PMID: 17947621      PMCID: PMC2274871          DOI: 10.1197/jamia.M2438

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  1 in total

1.  Assessing the accuracy of an automated coding system in emergency medicine.

Authors:  W C Morris; D T Heinze; H R Warner Jr; A Primack; A E Morsch; R E Sheffer; M A Jennings; M L Morsch; M A Jimmink
Journal:  Proc AMIA Symp       Date:  2000
  1 in total
  15 in total

1.  Mayo clinic smoking status classification system: extensions and improvements.

Authors:  Sunghwan Sohn; Guergana K Savova
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

2.  eQuality for all: Extending automated quality measurement of free text clinical narratives.

Authors:  Steven H Brown; Peter L Elkin; S Trent Rosenbloom; Elliot Fielstein; Ted Speroff
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

Review 3.  Recent progress in automatically extracting information from the pharmacogenomic literature.

Authors:  Yael Garten; Adrien Coulet; Russ B Altman
Journal:  Pharmacogenomics       Date:  2010-10       Impact factor: 2.533

Review 4.  Translational informatics: enabling high-throughput research paradigms.

Authors:  Philip R O Payne; Peter J Embi; Chandan K Sen
Journal:  Physiol Genomics       Date:  2009-09-08       Impact factor: 3.107

5.  Improving the Utility of Tobacco-Related Problem List Entries Using Natural Language Processing.

Authors:  Daniel R Harris; Darren W Henderson; Alexandria Corbeau
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

6.  Practical implementation of an existing smoking detection pipeline and reduced support vector machine training corpus requirements.

Authors:  Richard Khor; Wai-Kuan Yip; Mathias Bressel; William Rose; Gillian Duchesne; Farshad Foroudi
Journal:  J Am Med Inform Assoc       Date:  2013-08-06       Impact factor: 4.497

7.  A study of transportability of an existing smoking status detection module across institutions.

Authors:  Mei Liu; Anushi Shah; Min Jiang; Neeraja B Peterson; Qi Dai; Melinda C Aldrich; Qingxia Chen; Erica A Bowton; Hongfang Liu; Joshua C Denny; Hua Xu
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

8.  Unlocking Data for Clinical Research - The German i2b2 Experience.

Authors:  T Ganslandt; S Mate; K Helbing; U Sax; H U Prokosch
Journal:  Appl Clin Inform       Date:  2011-03-30       Impact factor: 2.342

9.  Repurposing the clinical record: can an existing natural language processing system de-identify clinical notes?

Authors:  Frances P Morrison; Li Li; Albert M Lai; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

10.  Description of a rule-based system for the i2b2 challenge in natural language processing for clinical data.

Authors:  Lois C Childs; Robert Enelow; Lone Simonsen; Norris H Heintzelman; Kimberly M Kowalski; Robert J Taylor
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

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