Personalized Medicine

Interpretable models for the automated detection of human trafficking in illicit massage businesses

Tobey, M., Li, R., Ozaltin, O. Y., Mayorga, M. E., & Caltagirone, S. (2022, August 28). IISE TRANSACTIONS, Vol. 8.

Cross-sector decision landscape in response to COVID-19: A qualitative network mapping analysis of North Carolina decision-makers

FRONTIERS IN PUBLIC HEALTH, 8.

Assessing the impact of multicomponent interventions on colorectal cancer screening through simulation: What would it take to reach national screening targets in North Carolina

PREVENTIVE MEDICINE, 9.

Learning a deep dual-level network for robust DeepFake detection

PATTERN RECOGNITION, 10.

A general framework for subgroup detection via one-step value difference estimation

Johnson, D., Lu, W., & Davidian, M. (2022, August 2). BIOMETRICS, Vol. 8.

Managing Product Transitions: A Bilevel Programming Approach

Khorramfar, R., Ozaltin, O. Y., Kempf, K. G., & Uzsoy, R. (2022, June 30). INFORMS JOURNAL ON COMPUTING, Vol. 6.

Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes

Zhou, Y., Wang, L., Song, R., & Zhao, T. (2022, June 28). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 6.

When History and Heterogeneity Matter: A Tutorial on the Impact of Markov Model Specifications in the Context of Colorectal Cancer Screening

Townsley, R. M., Koutouan, P. R., Mayorga, M. E., Mills, S. D., Davis, M. M., & Hasmiller Lich, K. (2022, May 11). MEDICAL DECISION MAKING, Vol. 5.

Methods Based on Semiparametric Theory for Analysis in the Presence of Missing Data

ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION.

Telehealth and racial disparities in colorectal cancer screening: A pilot study of how virtual clinician characteristics influence screening intentions

JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE, 4.

GENERATION 1.5: YEARS IN THE UNITED STATES AND OTHER FACTORS AFFECTING SMOKING BEHAVIORS AMONG ASIAN AMERICANS

ETHNICITY & DISEASE.

Rule mining over knowledge graphs via reinforcement learning

KNOWLEDGE-BASED SYSTEMS, 4.

Coordination of manufacturing and engineering activities during product transitions

Bansal, A., Ozaltin, O. Y., Uzsoy, R., & Kempf, K. G. (2022, April 9). NAVAL RESEARCH LOGISTICS, Vol. 4.

The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions-A Case Study on the Microvascular Complications of Diabetes

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2.

A Probit Tensor Factorization Model For Relational Learning

Liu, Y., Song, R., Lu, W., & Xiao, Y. (2022, March 10). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 3.

Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework

Shi, C., Wang, X., Luo, S., Zhu, H., Ye, J., & Song, R. (2022, March 12). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 3.

Multitask neural networks for predicting bladder pressure with time series data

BIOMEDICAL SIGNAL PROCESSING AND CONTROL.