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A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect
  Discovery

A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery

IEEE journal of biomedical and health informatics (JBHI), 2014
2 September 2014
J. Reps
J. Garibaldi
U. Aickelin
D. Soria
J. Gibson
R. Hubbard
ArXiv (abs)PDFHTML

Papers citing "A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery"

2 / 2 papers shown
Refining adverse drug reaction signals by incorporating interaction
  variables identified using emergent pattern mining
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining
J. Reps
U. Aickelin
R. Hubbard
145
12
0
20 Jul 2016
Tuning a Multiple Classifier System for Side Effect Discovery using
  Genetic Algorithms
Tuning a Multiple Classifier System for Side Effect Discovery using Genetic AlgorithmsIEEE Congress on Evolutionary Computation (CEC), 2014
J. Reps
U. Aickelin
J. Garibaldi
117
1
0
03 Sep 2014
1
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