AutoScore
"AutoScore" is a machine learning-based automatic clinical score generator to aid in clinical risk stratification and the efficient allocation of medical resources. Recognizing the significance of point-based scores in clinical decision-making due to their understandability and explainability, AutoScore simplifies the development of these models, which has traditionally been a complex and underexplored process.
Key Features and Functionalities:
- Six-Module Framework: AutoScore is built around a comprehensive framework comprising six modules: variable ranking, variable transformation, score derivation, model selection, score fine-tuning, and model evaluation. This structured approach facilitates the systematic development of interpretable point-based scores.
- Machine Learning-Based Score Generation: Utilizing advanced machine learning techniques, AutoScore automates creating clinical scores, making them accessible for future users across various clinical applications without requiring in-depth statistical knowledge.
Potential for Wide Application in Medical Fields: AutoScore's ability to create interpretable, point-based scoring models efficiently holds significant potential as a scoring tool in various medical applications, from risk stratification to resource allocation.
Topic
Machine learning;Preclinical and clinical studies;Surgery
Detail
Operation: Regression analysis;Feature selection;Standardisation and normalisation
Software interface: Library
Language: R
License: GNU General Public License >= version 2
Cost: Free with restrictions
Version name: 1.0.0
Credit: The Singapore National Medical Research Council under the PULSES Center Grant.
Input: -
Output: -
Contact: Nan Liu liu.nan@duke-nus.edu.sg
Collection: -
Maturity: -
Publications
- AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records.
- Xie F, et al. AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records. AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records. 2020; 8:e21798. doi: 10.2196/21798
- https://doi.org/10.2196/21798
- PMID: 33084589
- PMC: PMC7641783
Download and documentation
Documentation: https://github.com/nliulab/AutoScore/tree/master/vignettes
Home page: https://github.com/nliulab/AutoScore
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