Elizabeth Shenkman

Machine Learning Results for High Utilizers

Sanjay Ranka, Chris Delcher, Chengliang Yang, 2019 .

Data-Driven Approaches for Health care: Machine Learning for Identifying High Utilizers

Sanjay Ranka, Chris Delcher, Chengliang Yang, 2019 .

Machine Learning Modeling from Health Care Data

Sanjay Ranka, Chris Delcher, Chengliang Yang, 2019 .

Assessing the effect of data integration on predictive ability of cancer survival models

Jiang Bian, Elizabeth Shenkman, Yi Guo, 2020, Health Informatics J..

Expenditure variations analysis using residuals for identifying high health care utilizers in a state Medicaid program

Sanjay Ranka, Chengliang Yang, Chris Delcher, 2019, BMC Medical Informatics and Decision Making.

Applications of artificial intelligence in drug development using real-world data

Jiang Bian, Elizabeth Shenkman, Zhaoyi Chen, 2020, Drug discovery today.

Machine learning approaches for predicting high cost high need patient expenditures in health care

Sanjay Ranka, Chengliang Yang, Chris Delcher, 2018, BioMedical Engineering OnLine.

Variation in outpatient emergency department utilization in Texas Medicaid: a state-level framework for finding “superutilizers”

Sanjay Ranka, Chris Delcher, Elizabeth Shenkman, 2017, International Journal of Emergency Medicine.

Exploring the contribution of maternal antibiotics and breastfeeding to development of the infant microbiome and pediatric obesity.

Elizabeth Shenkman, Michelle Cardel, E. Shenkman, 2016, Seminars in fetal & neonatal medicine.