Multicenter Study Develops AI-Powered Risk Prediction Model for ABPA Recurrence — What Pulmonologists Need to Know

References

1. 1.Qianfoshan Hospital. (2024). Multi-Omics Data-Derived Inflammatory Phenotype for ABPA Recurrence Risk Prediction: A Multicenter Study. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07611838
2. 2.Agarwal, R., Chakrabarti, A., Shah, A., Gupta, D., Meis, J. F., Guleria, R., Moss, R., & Denning, D. W. (2013). Allergic bronchopulmonary aspergillosis: review of literature and proposal of new diagnostic and classification criteria. Clinical & Experimental Allergy, 43(8), 850-873. https://doi.org/10.1111/cea.12141
3. 3.Rajagopalan, S., Yoshimoto, K., Nucci, M., Sharma, A., & Hemmer, C. J. (2021). Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison. BMC Medical Research Methodology, 21(1), 1-15. https://doi.org/10.1186/s12874-021-01201-8
4. 4.Stevens, D. A., Moss, R. B., Kurup, V. P., Knutsen, A. P., Greenberger, P., Judson, M. A., Denning, D. W., Crameri, R., Brody, A. S., Light, M., Skov, M., Maish, W., & Mastella, G. (2003). Allergic bronchopulmonary aspergillosis in cystic fibrosis--state of the art: Cystic Fibrosis Foundation Consensus Conference. Clinical Infectious Diseases, 37(Supplement_3), S225-S264. https://doi.org/10.1086/378048
5. 5.Asano, K., Hebisawa, A., Ishiguro, T., Takayanagi, N., Nakamura, Y., Suzuki, J., Okada, N., Tanaka, J., Fukutomi, Y., Ueki, S., Takemura, T., Saito, T., Takeda, K., Mayumi, M., Chiba, H., & Ando, M. (2021). New clinical diagnostic criteria for allergic bronchopulmonary aspergillosis/mycosis and its validation. Journal of Allergy and Clinical Immunology, 147(4), 1261-1268. https://doi.org/10.1016/j.jaci.2020.08.029
6. 6.Greenberger, P. A. (2019). Allergic bronchopulmonary aspergillosis. Journal of Allergy and Clinical Immunology: In Practice, 7(2), 557-563. https://doi.org/10.1016/j.jaip.2018.11.043