 | 2008 |
| 8 |  | Karen L. Courtney,
Sara Stewart,
Mihail Popescu,
Linda K. Goodwin:
Predictors of Preterm Birth in Birth Certificate Data.
MIE 2008: 555-560 |
| 2005 |
| 7 |  | Jerzy W. Grzymala-Busse,
Linda K. Goodwin,
Witold J. Grzymala-Busse,
Xinqun Zheng:
Handling Missing Attribute Values in Preterm Birth Data Sets.
RSFDGrC (2) 2005: 342-351 |
| 2003 |
| 6 |  | Jerzy W. Grzymala-Busse,
Linda K. Goodwin,
Xiaohui Zhang:
Increasing sensitivity of preterm birth by changing rule strengths.
Pattern Recognition Letters 24(6): 903-910 (2003) |
| 2002 |
| 5 |  | Jerzy W. Grzymala-Busse,
Witold J. Grzymala-Busse,
Linda K. Goodwin:
A comparison of three closest fit approaches to missing attribute values in preterm birth data.
Int. J. Intell. Syst. 17(2): 125-134 (2002) |
| 2001 |
| 4 |  | Jerzy W. Grzymala-Busse,
Witold J. Grzymala-Busse,
Linda K. Goodwin:
Coping with Missing Attribute Values Based on Closest Fit in Preterm Birth Data: A Rough Set Approach.
Computational Intelligence 17(3): 425-434 (2001) |
| 2000 |
| 3 |  | Linda K. Goodwin,
Sean Maher:
Data Mining for Preterm Birth Prediction.
SAC (1) 2000: 46-51 |
| 1999 |
| 2 |  | Jerzy W. Grzymala-Busse,
Linda K. Goodwin,
Xiaohui Zhang:
Preterm Birth Risk Assessed by a New Method of Classifikation Using Selective Partial Matching.
ISMIS 1999: 612-620 |
| 1 |  | Jerzy W. Grzymala-Busse,
Witold J. Grzymala-Busse,
Linda K. Goodwin:
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data.
RSFDGrC 1999: 405-413 |