Machine-learning-based-diagnosis-for-neurosyphilis

✨ Introduction

This is a Shiny app for this article (citation below), to enable users to apply the simplified clinical diagnostic models for neurosyphilis. It's build in R with shiny. Check it out!

📖 Citation

Zou, H., Lu, Z., Weng, W., Yang, L., Yang, L., Leng, X., Wang, J., Lin, Y.-F., Wu, J., Fu, L., Zhang, X., Li, Y., Wang, L., Wu, X., Zhou, X., Tian, T., Huang, L., Marra, C. M., Yang, B., . . . Ke, W. (2023). Diagnosis of neurosyphilis in HIV-negative patients with syphilis: development, validation, and clinical utility of a suite of machine learning models. eClinicalMedicine, 62, 102080.

Please cite the paper and give us a STAR if you find this repository useful for your research.

💖 Contributing

We welcome any contributions!