| Visual explanations from deep 3D convolutional neural networks for Alzheimer’s disease classification C Yang, A Rangarajan, S Ranka AMIA annual symposium proceedings 2018, 1571, 2018 | 134 | 2018 |
| Global model interpretation via recursive partitioning C Yang, A Rangarajan, S Ranka 2018 IEEE 20th International Conference on High Performance Computing and …, 2018 | 86 | 2018 |
| Machine learning approaches for predicting high cost high need patient expenditures in health care C Yang, C Delcher, E Shenkman, S Ranka Biomedical engineering online 17 (1), 1-20, 2018 | 72 | 2018 |
| Predicting 30-day all-cause readmissions from hospital inpatient discharge data C Yang, C Delcher, E Shenkman, S Ranka 2016 IEEE 18th International conference on e-Health networking, applications …, 2016 | 43 | 2016 |
| Variation in outpatient emergency department utilization in Texas Medicaid: a state-level framework for finding “superutilizers” C Delcher, C Yang, S Ranka, JA Tyndall, B Vogel, E Shenkman International journal of emergency medicine 10, 1-9, 2017 | 21 | 2017 |
| Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing X Huang, C Yang, S Ranka, A Rangarajan IPSJ transactions on computer vision and applications 10 (1), 1-16, 2018 | 13 | 2018 |
| Supervoxel-based segmentation of 3d volumetric images C Yang, M Sethi, A Rangarajan, S Ranka Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 11 | 2017 |
| Expenditure variations analysis using residuals for identifying high health care utilizers in a state Medicaid program C Yang, C Delcher, E Shenkman, S Ranka BMC medical informatics and decision making 19, 1-15, 2019 | 10 | 2019 |
| Machine learning approaches for predicting high utilizers in health care C Yang, C Delcher, E Shenkman, S Ranka Bioinformatics and Biomedical Engineering: 5th International Work-Conference …, 2017 | 9 | 2017 |
| Identifying high health care utilizers using post-regression residual analysis of health expenditures from a state medicaid program C Yang, C Delcher, E Shenkman, S Ranka AMIA Annual Symposium Proceedings 2017, 1848, 2017 | 7 | 2017 |
| Clustering inter-arrival time of health care encounters for high utilizers C Yang, C Delcher, E Shenkman, S Ranka 2018 IEEE 20th International Conference on e-Health Networking, Applications …, 2018 | 6 | 2018 |
| Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers C Yang, C Delcher, E Shenkman, S Ranka CRC Press, 2019 | 2 | 2019 |
