Prognosis of Epileptic Seizure Event Onsets Using Random Survival Forests-Reference-Cited by-同舟云学术

Prognosis of Epileptic Seizure Event Onsets Using Random Survival Forests

Published:2022-04-08 Issue:3 Volume:12 Page:221-231
ISSN:2472-5579
Container-title:IISE Transactions on Healthcare Systems Engineering
language:en
Short-container-title:IISE Transactions on Healthcare Systems Engineering

Author:

Afrin Kahkashan¹,Dusi Revanth²,Zhong Yuhao³,Reddy D. Samba⁴^ORCID,Bukkapatnam Satish T. S.³^ORCID

Affiliation:

1. McKinsey & Company, Los Angeles, CA, USA

2. The Home Depot, Houston, TX, USA

3. Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA

4. Department of Neuroscience and Experimental Therapeutics, College of Medicine, Texas A&M University, Bryan, TX, USA

Funder

nsf

National Science Foundation

Texas A&M University xgrants program

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725579.2022.2051645

Reference68 articles.

1. Afrin, K., Illangovan, G., Srivatsa, S. S. & Bukkapatnam, S. T. (2018). Balanced random survival forests for extremely unbalanced, right censored data. arXiv preprint arXiv:1803.09177.

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3. A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform

4. Stationarity of the EEG series

5. Risk of a seizure recurrence after a breakthrough seizure and the implications for driving: further analysis of the standard versus new antiepileptic drugs (SANAD) randomised controlled trial