Analysis of Co-Indicators and Counter-Indicators Among Patients Using Coding Algorithms: Learning Phenotype study
| dc.contributor.author | Reddy, Nagarjuna | |
| dc.contributor.author | Jones, Josette | |
| dc.contributor.author | Kanakasabai, Saravanan | |
| dc.contributor.author | Klapper, Gregory | |
| dc.date.accessioned | 2022-04-26T16:36:26Z | |
| dc.date.available | 2022-04-26T16:36:26Z | |
| dc.description | Digitized for IUPUI ScholarWorks inclusion in 2021. | |
| dc.description.abstract | Chronic complications associated with the diabetes are responsible for increase in mortality and morbidity rate. The main aim of the project is to analyze the co-indicators and counter-indicators among the patients by mapping the conditions with ICD codes and developing an algorithm. A positive and strong correlation is identified with respect to BMI, Poverty, Education, Age and T2DM cohorts and it's comorbidities. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1805/28778 | |
| dc.title | Analysis of Co-Indicators and Counter-Indicators Among Patients Using Coding Algorithms: Learning Phenotype study | en_US |
| dc.type | Poster | en_US |