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

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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{lu2024novel,
	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},
 	volume={31},
	journal={Journal of the American Medical Informatics Association},
  	number={8},
      	pages={1763–1773},
      	year={2024},
   	doi = {https://doi.org/10.1093/jamia/ocae140},
      	publisher={Oxford University Press}
}

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.

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

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