DYNAMIC RISK PREDICTION TRIGGERED BY INTERMEDIATE EVENTS USING SURVIVAL TREE ENSEMBLES
With the availability of massive amounts of data from electronic health records and registry databases, incorporating time-varying patient information to improve risk prediction has attracted great attention. To exploit the growing amount of predictor information over time, we develop a unified fram...
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Published in | The annals of applied statistics Vol. 17; no. 2; p. 1375 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
01.06.2023
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Subjects | |
Online Access | Get more information |
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