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Dataset: Diabetes 130-US hospitals for years 1999-2008 Data Set

Notes:

  • Logistic Regression: without TFIDF
  • Random Forest: with TFIDF

Other references:

http://support.sas.com/resources/papers/proceedings15/3254-2015.pdf

  • The number of times a patient has been an inpatient previously has a positive effect on readmission followed by the number of times he/she was an outpatient.
  • The number of times a patient was admitted via the emergency room has the next highest positive impact with a likelihood of 4%.
  • Diabetic patients suffering from a primary diagnosis of heart failure have a higher chance of readmission.
  • Number of diagnoses entered into the system corresponding to each patient is one of the important predictors.
  • Diabetic patients who were transferred from another hospital, home health agency, ambulatory surgery center, critical access hospitals, or due to court/law enforcement have reduced chances of being readmitted.
  • Patients who were transferred from a skilled nursing facility (SNF) were discovered to have increased chances of readmission.
  • In addition, patients suffering from a secondary diagnosis of hypertensive chronic kidney disease demonstrated increased readmission rates.
  • Patients who were discharged/ transferred to home with home health service had a positive effect, thus indicating a higher chance of coming back to the hospital.
  • Diabetic women with complicated pregnancy or childbirth have displayed a reduced likelihood of being readmitted.
  • Patients suffering from a primary diagnosis of chronic bronchitis are more likely to be readmitted; it was also noticed that patients with diabetes mellitus had higher chances of being readmitted.

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Kaggle inClass: Singaporean Actuary Society Analytics Challenge 2016

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