Journal
PATTERN RECOGNITION LETTERS
Volume 24, Issue 6, Pages 903-910Publisher
ELSEVIER
DOI: 10.1016/S0167-8655(02)00202-7
Keywords
preterm birth; LERS system; data mining; rule induction; rough set theory
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We studied two prenatal data sets and two other medical data sets. Our objective was to increase sensitivity (accuracy of preterm birth) by changing the rule strength for the preterm birth class. Two criteria for choosing the optimal rule strength are discussed: the greatest difference between the true-positive and false-positive probabilities and the maximum profit. (C) 2002 Elsevier Science B.V. All rights reserved.
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