HitBoost: Survival Analysis via a Multi-Output Gradient Boosting Decision Tree Method

HitBoost: Survival Analysis via a Multi-Output Gradient Boosting Decision Tree Method

Survival analysis, in many areas such as healthcare and finance, mainly studies the probability of time to the event of interest. Among various methods that build survival predictive models, a class of methods combining with machine learning techniques make assumptions about hazard functions, while...

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Bibliographic Details
Main Authors: Pei Liu, Bo Fu, Simon X. Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Disease prognosis
first hitting time
gradient boosting decision tree
machine learning
survival analysis
Online Access:https://ieeexplore.ieee.org/document/8700177/

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