BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
drug (5)
event (3)
reaction (3)
predict (2)
mine (2)

Stem advers$ (all stems)

8 papers:

KDDKDD-2015-FeldmanNPR #mining #online #predict
Utilizing Text Mining on Online Medical Forums to Predict Label Change due to Adverse Drug Reactions (RF, ON, AP, BR), pp. 1779–1788.
KDDKDD-2015-LakkarajuASMBGA #framework #identification #machine learning #student
A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes (HL, EA, CS, DM, NB, RG, KLA), pp. 1909–1918.
ISSTAISSTA-2015-AdamsenMM #android #execution #testing
Systematic execution of Android test suites in adverse conditions (CQA, GM, AM), pp. 83–93.
KDIRKDIR-2014-DuvalCCS #mining #twitter
Mining for Adverse Drug Events on Twitter (FD, EC, OGC, FS), pp. 354–359.
ECIRECIR-2013-YatesG #detection #named #social #social media
ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites (AY, NG), pp. 816–819.
KDDKDD-2013-HarpazDLS #empirical
Empirical bayes model to combine signals of adverse drug reactions (RH, WD, PL, NHS), pp. 1339–1347.
ICMLICML-2012-DavisCBPPC #clustering #predict #relational
Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events (JD, VSC, EB, DP, PLP, MC), p. 172.
ICEISICEIS-v2-2004-SilvaCSGN #multi #network #using
Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks (ÁMS, PC, MFS, LG, JN), pp. 401–408.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.