Skip to content

Code for the paper "A Novel Hyperparameter Search Approach for Accuracy and Simplicity in Disease Prediction Risk Scoring".

Notifications You must be signed in to change notification settings

yajun668/RiskScoring

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

RiskScoring

The code accompanies the paper "A Novel Hyperparameter Search Approach for Accuracy and Simplicity in Disease Prediction Risk Scoring". If you wish to use or cite this code, please cite the paper:

@article{lu2023novel,
	title={A Novel Hyperparameter Search Approach for Accuracy and Simplicity in Disease Prediction Risk Scoring},
	author={Lu, Yajun and Duong, Thanh and Miao, Zhuqi and Thieu, Thanh and Lamichhane, Jivan and Ahmed, Abdulaziz and Delen, Dursun},
	journal={Available at SSRN 4756710},
 	note = {Under Review},
	year={2024}
}

Data Availability Statement

The data used in this study was obtained from Oracle Cerner. Interested researchers may request the associated data directly from Oracle Cerner.

Acknowledgments

The authors gratefully acknowledge Oracle Cerner for sharing Health Facts EHR database to support this research. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of Oracle Cerner.

Terms and Use:

Copyright (c) 2024 Yajun Lu, Thanh Duong, and Zhuqi Miao.

Creative Commons Legal Code

Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

Canonical URL https://creativecommons.org/licenses/by-nc/4.0/

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

NonCommercial — You may not use the material for commercial purposes.

No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices: You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation. No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

About

Code for the paper "A Novel Hyperparameter Search Approach for Accuracy and Simplicity in Disease Prediction Risk Scoring".

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages