BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
mine (7)
model (6)
advers (5)
predict (5)
effect (4)

Stem drug$ (all stems)

31 papers:

CASECASE-2015-SustoM #approach #machine learning #multi #predict
Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach (GAS, SFM), pp. 1218–1223.
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.
CHICHI-2014-ChoudhuryMM #social #social media
“Narco” emotions: affect and desensitization in social media during the mexican drug war (MDC, AMH, GM), pp. 3563–3572.
HCISCSM-2014-AhnMHNHPM #analysis #network #representation #semantics #social #twitter
Social Network Representation and Dissemination of Pre-Exposure Prophylaxis (PrEP): A Semantic Network Analysis of HIV Prevention Drug on Twitter (ZA, MM, JH, YN, CWH, MP, JM), pp. 160–169.
KDDKDD-2014-MukherjeeWD #community #health #people
People on drugs: credibility of user statements in health communities (SM, GW, CDNM), pp. 65–74.
KDIRKDIR-2014-BarcanteJDCCS #identification #mining #using
Identifying Drug Repositioning Targets using Text Mining (EB, MJ, FD, EC, OGC, FS), pp. 348–353.
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.
KDDKDD-2013-ZhengDMZ #collaboration #interactive #matrix #multi #predict
Collaborative matrix factorization with multiple similarities for predicting drug-target interactions (XZ, HD, HM, SZ), pp. 1025–1033.
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-v2-2011-LinDL #case study
A Study on the Electronic Supervision Model of Drug Distribution (ZKL, ZSD, YL), pp. 378–383.
KDIRKDIR-2011-BressoBSMKSND #mining #reduction
Use of Domain Knowledge for Dimension Reduction — Application to Mining of Drug Side Effects (EB, SB, MST, GM, ASK, MS, AN, MDD), pp. 271–276.
CASECASE-2010-AshrafTA
MEMS based polymeric drug delivery system (MWA, ST, NA), pp. 192–197.
CASECASE-2010-AshrafTANBT #analysis #array
Structural and microfluidic analysis of MEMS based out-of-plane hollow silicon microneedle array for drug delivery (MWA, ST, NA, AN, ELB, AT), pp. 258–262.
ICPRICPR-2010-LeePJ #image #named #retrieval
PILL-ID: Matching and Retrieval of Drug Pill Imprint Images (YBL, UP, AKJ), pp. 2632–2635.
SACSAC-2010-LevyLMS #bias #identification #multi
Identification and control of intrinsic bias in a multiscale computational model of drug addiction (YZL, DL, JSM, HTS), pp. 2389–2393.
DACDAC-2009-GroeneveldRPCC
Oil fields, hedge funds, and drugs (PG, RAR, JWP, ECC, JC), pp. 416–417.
HCIHCI-VAD-2009-DukeFK #multi #novel #visualisation
A Novel Visualization Tool for Evaluating Medication Side-Effects in Multi-drug Regimens (JDD, AF, HK), pp. 478–487.
CIKMCIKM-2009-GuoR #interactive #mining #query
Mining linguistic cues for query expansion: applications to drug interaction search (SG, NR), pp. 335–344.
SACSAC-2009-LiCC #correlation #network
Construct anticancer drug-drug correlation network (JL, PC, JYC), pp. 771–775.
CASECASE-2008-RussoMCK #automation #modelling #petri net
Petri net modeling and automated system control of protein crystallization experimentation in drug discovery (MFR, SM, MHC, HK), pp. 906–911.
SACSAC-2008-AraujoSF #algebra #analysis #process
HIV drug resistance analysis tool based on process algebra (LVdA, ECS, JEF), pp. 1358–1363.
HCIHCI-AS-2007-Furukawa #challenge #effectiveness #fault #injection #question #what
Challenge for Preventing Medication Errors -Learn from Errors- : What Is the Most Effective Label Display to Prevent Medication Error for Injectable Drug ? (HF), pp. 437–442.
ICMLICML-2007-DavisCRP #approach #predict #process
An integrated approach to feature invention and model construction for drug activity prediction (JD, VSC, SR, DP), pp. 217–224.
CASECASE-2006-CuiLZ #design #simulation
Design and Simulation of a Piezoelectrically Actuated Micropump for the Drug Delivery System (QC, CL, XFZ), pp. 45–50.
CIKMCIKM-2005-CarinoJLWY #machine learning #mining #web
Mining officially unrecognized side effects of drugs by combining web search and machine learning (CC, YJ, BL, PMW, CTY), pp. 365–372.
KDDKDD-2005-NorenOB #database #detection #safety
A hit-miss model for duplicate detection in the WHO drug safety database (GNN, RO, AB), pp. 459–468.
SACSAC-2005-SilvaS #design #framework
A framework for result handling in bioinformatics: an application to computer assisted drug design (AOdS, ONdS), pp. 128–132.
ICEISICEIS-v5-2004-LiongosariGS #generative #library #research
A New Generation of Digital Library to Support Drug Discovery Research (ESL, AG, MS), pp. 301–306.
KDDKDD-2003-FramAD #data mining #empirical #mining #safety
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety (DMF, JSA, WD), pp. 359–368.

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.