-
1
-
-
59949084951
-
Clinical cancer advances 2008: major research advances in cancer treatment, prevention, and screening-a report from the American Society of Clinical Oncology
-
Winer E, Gralow J, Diller L, et al. Clinical cancer advances 2008: major research advances in cancer treatment, prevention, and screening-a report from the American Society of Clinical Oncology. J Clin Oncol, 2009;27:812-26.
-
(2009)
J Clin Oncol,
, vol.27
, pp. 812-826
-
-
Winer, E.1
Gralow, J.2
Diller, L.3
-
2
-
-
84882764860
-
-
Clinical Trial Facts & Figures: General Patient Recruitment Information, The Center for Information and Study on Clinical Research Participation (CISCRP)(accessed 18 Jul 2012).
-
Clinical Trial Facts & Figures: General Patient Recruitment Information, The Center for Information and Study on Clinical Research Participation (CISCRP), http://www. ciscrp.org/professional/facts_pat.html#5 (accessed 18 Jul 2012).
-
-
-
-
4
-
-
78149480799
-
Extracting medication information from clinical text
-
Uzuner ö, Solti I, Cadag E. Extracting medication information from clinical text. J Am Med Inform Assoc 2010;17:514-18.
-
(2010)
J Am Med Inform Assoc
, vol.17
, pp. 514-18
-
-
Uzuner, ö.1
Solti, I.2
Cadag, E.3
-
5
-
-
80053292637
-
2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
-
Uzuner ö, South B, Shen S, et al. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text. J Am Med Inform Assoc 2011;18:552-6.
-
(2011)
J Am Med Inform Assoc
, vol.18
, pp. 552-556
-
-
Uzuner, ö.1
South, B.2
Shen, S.3
-
6
-
-
77950477064
-
MedEx: a medication information extraction system for clinical narratives
-
Xu H, Stenner S, Doan S, et al. MedEx: a medication information extraction system for clinical narratives. J Am Med Inform Assoc 2010;17:19-24.
-
(2010)
J Am Med Inform Assoc
, vol.17
, pp. 19-24
-
-
Xu, H.1
Stenner, S.2
Doan, S.3
-
7
-
-
78149492053
-
Integrating existing natural language processing tools for medication extraction from discharge summaries
-
Doan S, Bastarache L, Klimkowski S, et al. Integrating existing natural language processing tools for medication extraction from discharge summaries. J Am Med Inform Assoc 2010;17:528-31.
-
(2010)
J Am Med Inform Assoc
, vol.17
, pp. 528-531
-
-
Doan, S.1
Bastarache, L.2
Klimkowski, S.3
-
8
-
-
78149480800
-
Medication information extraction with linguistic pattern matching and semantic rules
-
Spasic I, Sarafraz F, Keane J, et al. Medication information extraction with linguistic pattern matching and semantic rules. J Am Med Inform Assoc 2010;17:532-5.
-
(2010)
J Am Med Inform Assoc
, vol.17
, pp. 532-535
-
-
Spasic, I.1
Sarafraz, F.2
Keane, J.3
-
10
-
-
78149481363
-
Improving textual medication extraction using combined conditional random fields and rule-based systems
-
Tikk D, Solt I. Improving textual medication extraction using combined conditional random fields and rule-based systems. J Am Med Inform Assoc 2010;17:540-4.
-
(2010)
J Am Med Inform Assoc
, vol.17
, pp. 540-544
-
-
Tikk, D.1
Solt, I.2
-
11
-
-
78149479051
-
Automatic extraction of medication information from medical discharge summaries
-
Yang H. Automatic extraction of medication information from medical discharge summaries. J Am Med Inform Assoc 2010;17:545-8.
-
(2010)
J Am Med Inform Assoc
, vol.17
, pp. 545-548
-
-
Yang, H.1
-
12
-
-
78149480907
-
Linguistic approach for identification of medication names and related information in clinical narratives
-
Hamon T, Grabar N. Linguistic approach for identification of medication names and related information in clinical narratives. J Am Med Inform Assoc 2010;17:549-54.
-
(2010)
J Am Med Inform Assoc
, vol.17
, pp. 549-554
-
-
Hamon, T.1
Grabar, N.2
-
13
-
-
78149474640
-
Extracting medical information from narrative patient records: the case of medication-related information
-
Deléger L, Grouin C, Zweigenbaum P. Extracting medical information from narrative patient records: the case of medication-related information. J Am Med Inform Assoc 2010;17:555-8.
-
(2010)
J Am Med Inform Assoc
, vol.17
, pp. 555-558
-
-
Deléger, L.1
Grouin, C.2
Zweigenbaum, P.3
-
14
-
-
80053241946
-
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010
-
Bruijn B, Cherry C, Kiritchenko S, et al. Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. J Am Med Inform Assoc 2011;18:557-62.
-
(2011)
J Am Med Inform Assoc
, vol.18
, pp. 557-562
-
-
Bruijn, B.1
Cherry, C.2
Kiritchenko, S.3
-
15
-
-
80053285250
-
MITRE system for clinical assertion status classification Cheryl Clark
-
Aberdeen J, Coarr M, Tresner-Kirsch D, et al. MITRE system for clinical assertion status classification Cheryl Clark. J Am Med Inform Assoc 2011;18:563-7.
-
(2011)
J Am Med Inform Assoc
, vol.18
, pp. 563-567
-
-
Aberdeen, J.1
Coarr, M.2
Tresner-Kirsch, D.3
-
16
-
-
80053243154
-
A flexible framework for deriving assertions from electronic medical records
-
Roberts K, Harabagiu S. A flexible framework for deriving assertions from electronic medical records. J Am Med Inform Assoc 2011;18:568-73.
-
(2011)
J Am Med Inform Assoc
, vol.18
, pp. 568-573
-
-
Roberts, K.1
Harabagiu, S.2
-
17
-
-
80053268343
-
Using machine learning for concept extraction on clinical documents from multiple data sources
-
Torii M, Wagholikar K, Liu H. Using machine learning for concept extraction on clinical documents from multiple data sources. J Am Med Inform Assoc 2011;18:580-7.
-
(2011)
J Am Med Inform Assoc
, vol.18
, pp. 580-587
-
-
Torii, M.1
Wagholikar, K.2
Liu, H.3
-
18
-
-
80053275620
-
Hybrid methods for improving information access in clinical documents: concept, assertion, and relation identification
-
Minard A, Ligozat A, Abacha A, et al. Hybrid methods for improving information access in clinical documents: concept, assertion, and relation identification. J Am Med Inform Assoc 2011;18:588-93.
-
(2011)
J Am Med Inform Assoc
, vol.18
, pp. 588-593
-
-
Minard, A.1
Ligozat, A.2
Abacha, A.3
-
19
-
-
80053268344
-
Automatic extraction of relations between medical concepts in clinical texts
-
Rink B, Harabagiu S, Roberts K. Automatic extraction of relations between medical concepts in clinical texts. J Am Med Inform Assoc 2011;18:594-600.
-
(2011)
J Am Med Inform Assoc
, vol.18
, pp. 594-600
-
-
Rink, B.1
Harabagiu, S.2
Roberts, K.3
-
20
-
-
80053271549
-
A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries
-
Jiang M, Chen Y, Liu M, et al. A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries. J Am Med Inform Assoc 2011;18:601-6.
-
(2011)
J Am Med Inform Assoc
, vol.18
, pp. 601-606
-
-
Jiang, M.1
Chen, Y.2
Liu, M.3
-
21
-
-
80053274431
-
Automated concept-level information extraction to reduce the need for custom software and rules development
-
D'Avolio L, Nguyen T, Goryachev S, et al. Automated concept-level information extraction to reduce the need for custom software and rules development. J Am Med Inform Assoc 2011;18:607-13.
-
(2011)
J Am Med Inform Assoc
, vol.18
, pp. 607-613
-
-
D'Avolio, L.1
Nguyen, T.2
Goryachev, S.3
-
22
-
-
80053287229
-
A knowledge discovery and reuse pipeline for information extraction in clinical notes
-
Patrick J, Nguyen D, Wang Y, et al. A knowledge discovery and reuse pipeline for information extraction in clinical notes. J Am Med Inform Assoc 2011;18:574-9.
-
(2011)
J Am Med Inform Assoc
, vol.18
, pp. 574-579
-
-
Patrick, J.1
Nguyen, D.2
Wang, Y.3
-
23
-
-
78149487508
-
High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge
-
Patrick J, Li M. High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge. J Am Med Inform Assoc 2010;17:524-7.
-
(2010)
J Am Med Inform Assoc
, vol.17
, pp. 524-527
-
-
Patrick, J.1
Li, M.2
-
28
-
-
80053414133
-
-
Proc of Human Language Technology Conf and Conf on Empirical Methods in Natural Language Processing (HLT/EMNLP)
-
Finkel J, Manning C. Nested named entity recognition. Proc of Human Language Technology Conf and Conf on Empirical Methods in Natural Language Processing (HLT/EMNLP), 2009.
-
(2009)
Nested named entity recognition.
-
-
Finkel, J.1
Manning, C.2
-
29
-
-
84882738187
-
-
SHARPn annotation guidelines. (Expected release, September, 2012)(Oral communication from SHARPn's NLP PI)
-
SHARPn annotation guidelines. (Expected release, September, 2012). www.sharpn. org. (Oral communication from SHARPn's NLP PI)
-
-
-
-
32
-
-
70349455468
-
Development and evaluation of a clinical note section header terminology
-
Denny JC, Miller RA, Johnson KB, et al. Development and evaluation of a clinical note section header terminology. Proc. AMIA Annu Symp 2008;156-60.
-
(2008)
Proc. AMIA Annu Symp
, pp. 156-160
-
-
Denny, J.C.1
Miller, R.A.2
Johnson, K.B.3
-
34
-
-
84882755007
-
-
MALLET: A machine learning for language toolkit
-
McCallum AK. MALLET: A machine learning for language toolkit. 2002. http://mallet.cs.umass.edu
-
(2002)
-
-
McCallum, A.K.1
-
35
-
-
84882783600
-
-
One sense per collocation, Proc of the ARPA Human Language Technology Workshop
-
Yarowsky D. One sense per collocation, Proc of the ARPA Human Language Technology Workshop. 1993.
-
(1993)
-
-
Yarowsky, D.1
|