Stem drug$ (all stems)

31 papers:

CASE-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.

KDD-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.

CHI-2014-ChoudhuryMM #social #social media

“Narco” emotions: affect and desensitization in social media during the mexican drug war (MDC, AMH, GM), pp. 3563–3572.

SCSM-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.

KDD-2014-MukherjeeWD #community #health #people

People on drugs: credibility of user statements in health communities (SM, GW, CDNM), pp. 65–74.

KDIR-2014-BarcanteJDCCS #identification #mining #using

Identifying Drug Repositioning Targets using Text Mining (EB, MJ, FD, EC, OGC, FS), pp. 348–353.

KDIR-2014-DuvalCCS #mining #twitter

Mining for Adverse Drug Events on Twitter (FD, EC, OGC, FS), pp. 354–359.

ECIR-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.

KDD-2013-HarpazDLS #empirical

Empirical bayes model to combine signals of adverse drug reactions (RH, WD, PL, NHS), pp. 1339–1347.

KDD-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.

ICML-2012-DavisCBPPC #clustering #predict #relational

Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events (JD, VSC, EB, DP, PLP, MC), p. 172.

ICEIS-v2-2011-LinDL #case study

A Study on the Electronic Supervision Model of Drug Distribution (ZKL, ZSD, YL), pp. 378–383.

KDIR-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.

CASE-2010-AshrafTA

MEMS based polymeric drug delivery system (MWA, ST, NA), pp. 192–197.

CASE-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.

ICPR-2010-LeePJ #image #named #retrieval

PILL-ID: Matching and Retrieval of Drug Pill Imprint Images (YBL, UP, AKJ), pp. 2632–2635.

SAC-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.

DAC-2009-GroeneveldRPCC

Oil fields, hedge funds, and drugs (PG, RAR, JWP, ECC, JC), pp. 416–417.

HCI-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.

CIKM-2009-GuoR #interactive #mining #query

Mining linguistic cues for query expansion: applications to drug interaction search (SG, NR), pp. 335–344.

SAC-2009-LiCC #correlation #network

Construct anticancer drug-drug correlation network (JL, PC, JYC), pp. 771–775.

CASE-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.

SAC-2008-AraujoSF #algebra #analysis #process

HIV drug resistance analysis tool based on process algebra (LVdA, ECS, JEF), pp. 1358–1363.

HCI-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.

ICML-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.

CASE-2006-CuiLZ #design #simulation

Design and Simulation of a Piezoelectrically Actuated Micropump for the Drug Delivery System (QC, CL, XFZ), pp. 45–50.

CIKM-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.

KDD-2005-NorenOB #database #detection #safety

A hit-miss model for duplicate detection in the WHO drug safety database (GNN, RO, AB), pp. 459–468.

SAC-2005-SilvaS #design #framework

A framework for result handling in bioinformatics: an application to computer assisted drug design (AOdS, ONdS), pp. 128–132.

ICEIS-v5-2004-LiongosariGS #generative #library #research

A New Generation of Digital Library to Support Drug Discovery Research (ESL, AG, MS), pp. 301–306.

KDD-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.