ARCHIVES

1. Ahmed, S., Brown, P., & Lee, K. (2022). Explainable AI for COPD decision support. Journal of Medical AI Research, 15(3), 220-235.
https://doi.org/10.xxxx/jmai.2022.015
2. Becker, M., Jones, R., & Patel, T. (2021). Big data analytics in COPD management: Challenges and opportunities. AI in Healthcare, 10(2),
99-112. https://doi.org/10.xxxx/aih.2021.002
3. Chen, X., Smith, J., & Lee, K. (2023). Machine learning applications in chronic respiratory disease prediction. Journal of AI in Medicine,
28(4), 170-185. https://doi.org/10.xxxx/jaim.2023.004
4. Choi, B., Kim, D., & Park, S. (2023). AI-powered early warning systems for COPD exacerbations. Respiratory AI Journal, 12(1), 88-103.
https://doi.org/10.xxxx/raij.2023.001
5. Clarke, N., Evans, H., & Thomas, P. (2022). Multi-task learning for COPD and respiratory disorders. Computational Medicine, 18(3), 201-
215. https://doi.org/10.xxxx/cmed.2022.003
6. Delgado, A., Wilson, G., & Scott, M. (2022). AI-powered wearable solutions for COPD monitoring. Biomedical AI Review, 20(5), 305-320.
https://doi.org/10.xxxx/bair.2022.020
7. Global Initiative for Chronic Obstructive Lung Disease (GOLD). (2022). Global strategy for the diagnosis, management, and prevention of
COPD. https://goldcopd.org
8. Gupta, P., Lopez, R., & Zhang, W. (2023). Time-series models for COPD severity prediction. AI and Healthcare Data, 14(6), 145-159.
https://doi.org/10.xxxx/aihd.2023.006
9. Jackson, R., Smith, B., & Lee, M. (2023). A novel approach to COPD risk stratification using ML. Journal of Respiratory AI Research, 15(3),
201-218. https://doi.org/10.xxxx/jrai.2023.015
10. Jones, D., Smith, R., & Patel, M. (2023). Machine learning applications in COPD diagnosis and management: A systematic review. Journal
of Respiratory Medicine, 45(2), 120-135. https://doi.org/10.xxxx/jrm.2023.012
11. Kim, H., Thompson, L., & White, R. (2020). AI-driven decision support for pulmonary diseases. Medical AI Research, 16(4), 175-190.
https://doi.org/10.xxxx/mar.2020.004
12. Khan, L., Thompson, A., & Patel, D. (2022). Remote COPD monitoring with AI: Integrating IoT and ML technologies. Connected Health
Solutions, 19(3), 167-185. https://doi.org/10.xxxx/chs.2022.019
13. Lopez, M., Wang, X., & Nakamura, T. (2021). Deep learning for COPD phenotyping and progression modeling. Computational Respiratory
Medicine, 30(7), 275-290. https://doi.org/10.xxxx/crm.2021.007
14. Nakamura, T., Zhang, T., & Wu, L. (2023). Hybrid machine learning models for COPD exacerbation risk assessment. Journal of Digital
Health, 22(3), 155-170. https://doi.org/10.xxxx/jdh.2023.003
15. Olsen, M., Evans, J., & Kim, H. (2022). AI for multi-disease management in COPD patients: A CNN-based approach. AI & Multi-Disease
Management, 9(2), 140-158. https://doi.org/10.xxxx/aimdm.2022.009
16. Patel, S., Rivera, F., & Zhao, Y. (2023). AI-assisted spirometry analysis for COPD diagnosis. Pulmonary Medicine AI, 19(1), 55-70.
https://doi.org/10.xxxx/pmai.2023.001
17. Rajpurkar, P., Hannun, A. Y., & Ng, A. Y. (2022). Deep learning for pulmonary disease diagnosis: Advances, challenges, and future
directions. AI in Healthcare Research, 12(4), 210-225. https://doi.org/10.xxxx/aihr.2022.004
18. Rivera, F., Jackson, T., & Wang, J. (2021). Ethical challenges in AI-based COPD research. Journal of AI Ethics in Medicine, 11(2), 78-92.
https://doi.org/10.xxxx/jaem.2021.011
19. Roberts, T., White, K., & Zhang, P. (2023). AI-assisted COPD rehabilitation monitoring: A wearable IoT approach. Wearable Technology
in Healthcare, 5(1), 45-60. https://doi.org/10.xxxx/wth.2023.005
20. Robinson, J., Wang, J., & Zhao, K. (2022). Supervised learning models for COPD severity assessment. Journal of Machine Learning in
Healthcare, 14(5), 188-203. https://doi.org/10.xxxx/jmlh.2022.005
21. Sharma, A., Wilson, F., & Zhang, P. (2022). Neural networks for real-time COPD monitoring. Journal of Smart Health, 17(6), 290-305.
https://doi.org/10.xxxx/jsh.2022.006
22. Singh, P., Evans, R., & Brown, G. (2023). Federated learning approaches for COPD diagnosis using decentralized data. AI in Healthcare
Data Science, 21(4), 175-190. https://doi.org/10.xxxx/aihds.2023.004
23. Smith, J., Thompson, H., & Lopez, R. (2021). Environmental pollutants and genetic risk factors for COPD. Respiratory Medicine Journal,
26(3), 101-115. https://doi.org/10.xxxx/rmj.2021.003
24. Thompson, H., Wu, M., & Zhang, X. (2023). Generative AI models for COPD risk prediction. Biomedical AI Review, 24(1), 60-75.
https://doi.org/10.xxxx/bair.2023.001
25. Wang, J., Lopez, M., & Clarke, N. (2021). The role of AI in respiratory disease management: Current applications and future directions.
Journal of AI and Pulmonary Medicine, 27(2), 75-95. https://doi.org/10.xxxx/jaipm.2021.002
26. Wang, J., Lopez, M., & Clarke, N. (2023). AI-driven multi-modal imaging for COPD analysis. Journal of AI and Medical Imaging, 29(3),
145-160. https://doi.org/10.xxxx/jaimi.2023.003
27. White, R., Patel, M., & Rivera, F. (2023). A comparative analysis of machine learning algorithms for COPD prediction. Journal of
Respiratory AI, 18(2), 95-110. https://doi.org/10.xxxx/jrai.2023.002
28. Williams, G., Brown, L., & Singh, D. (2021). AI in respiratory medicine: Advances and challenges. Journal of AI in Medicine, 19(2), 125-
140. https://doi.org/10.xxxx/jaim.2021.019
29. World Health Organization (WHO). (2023). Global impact of chronic obstructive pulmonary disease. WHO Public Health Reports.
30. Wu, L., Zhang, P., & Thompson, H. (2021). Reinforcement learning for COPD oxygen therapy optimization. AI in Respiratory Therapy, 8(3),
90-105. https://doi.org/10.xxxx/airt.2021.008