1. Salem Hospital KATHLEEN FRENCH & ZINING ZHANG

2. Introduction Provide insurance for uninsured patients? Who are the Heart Failure patients?

3. Data Understanding 2 years of data: Ethnicity, Gender, Payer Type… dbo.Encountersdbo.Patients

4. Insurance

5. CHAID TREE

6. Cluster Analysis

7. K-means Model 48.5%

8. K-means Model Emergency Department: 78.1% Encounter Type 4: 100% Length of Stay: long

9. Findings

10. Heart Failure Patient CategoriesNPercent HF % Gender 08596043.6% 52.02 111129156.4% 47.98 22.0% 0.0 Total197253100.0% Ethnicity 062793.2% 0.48 4007018635.6% 33.22 8001215.6% 0.19 12002552012.9% 3.33 160030211.5% 0.33 200019781.0% 0.38 240045872.3% 0.9 28001229.6% 0.29 32008316442.2% 60.88 360074.0% 0 Total197253100.0% HighCost 019528199.0% 93.72 119721.0% 6.28 Total197253100.0% PayerGroupCount 118206592.3% 88.77 2143187.3% 10.14 3863.4% 1.09 47.0% 0.0 Total197253100.0%

11. Discriminant Model

12. Neural Network

13. Findings Best model: Discriminant Characteristics of Heart Failure patients: