1. Scoring of tissue microarray images     -- Algorithms for the scoring of tissue images that incorporates physician's knowledge, or deep latent structures in the data, and can detect salient pixels. 2. Statistical inference with COVID-19 Pandemic     -- Statistical inference about uncertainty associated with the COVID-19 Pandemic. 3. Mobile and digital health     -- Machine learning and statistical inference on mobile or wearable sensor health data.

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Citation

[1] D. Yan, P. Wang, B. S. Knudsen, M. Linden and T. W. Randolph. Statistical methods for tissue array images--algorithmic scoring and co-training. Annals of Applied Statistics, Vol 6(3), 1280-1305, 2012.  arXiv:1102.0059

[2] D. Yan, T. W. Randolph, J. Zou and P. Gong. Incorporating deep features in the analysis of tissue array images. Statistics and its Interface, Vol 12(2), 283-293, 2019.  arXiv:1812.00887.

[3] D. Yan, Y. Xu and P. Wang. Estimating the number of infected cases in COVID-19 pandemic. Journal of Data Science, Vol 19(2), 348-364, 2021.  arXiv:2005.12993

[4] D. Yan, J. Zou and Z. Li. Learning low-dimensional manifolds for scoring of tissue microarray images.  arXiv:2102.11396

[5] D. Yan, A. Chen and B. Yang. Towards understanding the COVID-19 case fatality rate. Journal of Health Science and Development, Vol 4(1), 30-38, 2021.  arXiv:2103.01313  medRxiv: 2021.03.01.21252698

[6] J. Chung, M. Shao, R. Ryan, M. Eisenstein, D. Yan, V. Domaleski, J. Choi and C. H. Lee. The use of physical restraints and PRN medications in adolescent psychiatric inpatient units. Journal of Child and Adolescent Psychiatric Nursing, Vol 36(3), 2023.