Bronchopulmonary dysplasia prediction using logistic regression

被引：0
|
作者：
Wajs, Wieslaw [1 ]
Stoch, Pawel [1 ]
Kruczek, Piotr [2 ]
机构：
[1] AGH Univ Sci & Technol, Krakow, Poland
[2] Jagiellonian Univ, CMUJ, Krakow, Poland
来源：
ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 3 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The prognostic value of some continuos measurement parameters calculating Bronchopulmonary Dysplasia predictor is the main goal of the paper. The most important question is, if the continuous measurement of parameters can help us to build a better algorithm solving Bronchopulmonary Dysplasia prediction problem?.
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页码：98 / +
页数：2
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