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Analyzing Indiana data to help reduce Hoosier infant mortality

Our team dives into Indiana's maternal health data to analyze the factors impacting infant mortality rates using statistical tools and models. Insights reveal the influence of variables such as low birth weight, breastfeeding, complications upon birth, hospital transfers, and marital status. Key impactful variables include the number of infant insurance claims, maternal diabetes prescriptions, and median household income per county.

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Analyzing Indiana data to help reduce Hoosier infant mortality

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  1. Analyzing Indiana data to help reduce Hoosier infant mortality Morgan Hogenmiller, Marzieh Mirzaei, and Brad Brechbuhl

  2. Our team’s mission: Dive into Indiana's maternal health data to analyze what impacts infant mortality rate using statistical tools and models

  3. Data Used Linear and logistic regression Chi-squared Test

  4. What contributes to infant mortality?

  5. Model Preprocessing

  6. Multiple Linear Regression Model Insights Infant deaths = 65.74 + 7.5  *  Median  Household  Income 19.12  *  Total Diabetes Prescriptions 12.98  *  Total Infant Insurance Claims Diagnostics Adjusted R-squared: .76 RMSE: 5.56

  7. Classification - Logistic regression Logostic regression Model classified output Selected features Threshold selected from  a certain number of SD identified as an outlier Classified the output Class1: High rate Infant mortality rate Class1: Low rate Threshold : 0.0005

  8. Logistic Regression -- Accuracy Test dataset fed to the logistic regression model Considered different thresholds (T) Per Threshold  (T) True positive rate (TPR) & False positive rate(FPR) Area under the curve (AUC)  Accuracy: 0.65

  9. Key Insights • We now know that low birth weight, breastfeeding, complications upon birth, hospital transfers, and marital status may influence infant mortality • The three most impactful variables based on our feature and model analyses were: • Number of Infant insurance claims per county • Number of maternal diabetes prescriptions per county • Median household income per county

  10. Contact Information

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