Under Review

  1. Turfah, Ali and Xiaoquan Wen (2024). "Interpretable clustering with the Distinguishability criterion". In: arXiv preprint arXiv:2404.15967. Link.
  2. Turfah, Ali, Xiaoquan Wen, and Lili Zhao (2023). "Non-parametric Bayesian mixture model to study adverse events of COVID-19 vaccines". In: arXiv preprint arXiv:2306.02123. Link.

Peer Reviewed

  1. Turfah, Ali, Hao Liu, Latoya A Stewart, Tian Kang, and Chunhua Weng (2022). "Extending PICO with Observation Normalization for Evidence Computing". In: Studies in health technology and informatics 290, pp. 268–272. Link.
  2. Kang, Tian, Ali Turfah, Jaehyun Kim, Adler Perotte, and Chunhua Weng (2021). "A neuro-symbolic method for understanding free-text medical evidence". In: Journal of the American Medical Informatics Association Link.
  3. Nicolas, J., B. Claessen, D. Cao, M. Chiarito, S. Sartori, H. Qiu, R. Goel, M. Nardin, A. Roumeliotis, B. Vogel, A. Turfah, R. Chandiramani, U Baber, N. Barman, J. Sweeny, P. Krishnan, A. Kini, S. Sharma, G. Dangas, R. Mehran. (2021). “A Sex Paradox in Clinical Outcomes Following Complex Percutaneous Coronary Intervention”. In: International journal of cardiology 329, pp. 67–73. Link.

Posters

  1. Turfah, Ali and Xiaoquan Wen (2024). "Interpretable clustering with the Distinguishability criterion". Joint Statistical Meetings (Portland, Oregon 2024)
  2. Turfah, Ali, Xiaoquan Wen, and Lili Zhao (2023). "Non-parametric Bayesian mixture model to study adverse events of COVID-19 vaccines". International Chinese Statistical Association Applied Statistics Symposium (University of Michigan, Ann Arbor, MI, 2023)
  3. Miller, Erin, Rima Charara, Ali Turfah, and Jennifer Mendez (2022). “Optimizing older adult blood pressure screening in a community setting by interprofessional students”. In: Innovation in Aging 6.Suppl 1, p. 517. Link.

Abstracts

  1. Elzinga, Sarah, Mohamed Noureldein, Kai Guo, Dae-Gyu Jang, John Hayes, Rosemary Henn, Ian Webber-Davis, Faye Mendelson, Rachel Parent, Diana Rigan, Adam Allouch, Ali Turfah, Lili Zhao, Geoffrey Murphy, Junguk Hur, and Eva L. Feldman (2023). “Long-term high-fat feeding: Connecting metabolism, cognitive impairment, and altered microglial morphology”. In: Journal of the Neurological Sciences 455 Link.
  2. Chiarito, M., A. Roumeliotis, D. Cao, D. Power, S. Sartori, Z. Zhang, A. Reisman, T. Mtisi, M. Nardin, J. Nicolas, H. Qiu, A. Turfah, et al. (2021). “Prevalence and prognostic impact of high bleeding risk status in patients undergoing percutaneous coronary intervention for left main coronary artery disease”. In: Journal of the American College of Cardiology 77.18 Supplement 1, pp. 1148–1148. Link.