Schleyer, Titus

Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data

Ravizza, S., Huschto, T., Adamov, A., Böhm, L., Büsser, A., Flöther, F. F., Hinzmann, R., König, H., McAhren, S. M., Robertson, D. H., et al. (2019) · Nature Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 167

Quantifying Unmet Need in Statin-Treated Hyperlipidemia Patients and the Potential Benefit of Further LDL-C Reduction Through an EHR-Based Retrospective Cohort Study

Schleyer, T., Hui, S., Wang, J., Zhang, Z., Knapp, K., Baker, J., Chase, M., Boggs, R., & Simpson, R. J. (2019) · Journal of Managed Care & Specialty Pharmacy

Lipoproteins and Cardiovascular HealthCancer, Lipids, and Metabolism

Cited by 19

App design features important for diabetes self-management as determined by the self-determination theory on motivation: content analysis of survey responses from adults requiring insulin therapy

Fu, H. N. C., Wyman, J. F., Peden-McAlpine, C. J., Draucker, C. B., Schleyer, T., & Adam, T. J. (2023) · JMIR Diabetes

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 15

Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources

Tarumi, S., Takeuchi, W., Qi, R., Ning, X., Ruppert, L., Ban, H., Robertson, D. H., Schleyer, T., & Kawamoto, K. (2022) · Journal of Biomedical Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 12

Understanding comorbidities and health disparities related to COVID-19: a comprehensive study of 776 936 cases and 1 362 545 controls in the state of Indiana, USA

Zidan, N., Dey, V., Allen, K., Price, J., Zappone, S. R., Hebert, C., Schleyer, T., & Ning, X. (2023) · JAMIA Open

COVID-19 Clinical Research StudiesCOVID-19 epidemiological studies

Cited by 11

Evolution of clinical Health Information Exchanges to population health resources: a case study of the Indiana network for patient care

Williams, K. S., Rahurkar, S., Grannis, S. J., Schleyer, T. K., & Dixon, B. E. (2025) · BMC Medical Informatics and Decision Making

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 7