@inproceedings{9f6a85151c7345089f4652f667b9d6ca,
title = "The Grey Markov Model Modification of Panel Data Prediction for Stroke Recurrence with Health Care Data",
abstract = "It is a crucial method to propose a predictive model for recurrence of stroke by analyzing the diagnostic data of stroke inpatient from health care system in order to predict the disease relapse of patients with stroke. Stroke has high relapse rates and is an epidemic disease with high morbidity, high mortality, and high disability. The mortality rate of recurrent patients is much higher than its first onset, which means the implementation of targeted prevention measures based on the prediction result could effectively reduce the mortality.",
keywords = "Panel data, Predictive model, Stroke recurrence",
author = "Xiaohan Li and Wenbing Chang and Shenghan Zhou and Fajie Wei and Jingsong Lei",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 Annual Reliability and Maintainability Symposium, RAMS 2018 ; Conference date: 22-01-2018 Through 25-01-2018",
year = "2018",
month = sep,
day = "11",
doi = "10.1109/RAM.2018.8463014",
language = "英语",
isbn = "9781538628706",
series = "Proceedings - Annual Reliability and Maintainability Symposium",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 Annual Reliability and Maintainability Symposium, RAMS 2018",
address = "美国",
}