A financial services firm asked us to identify factors leading…
Hospital Readmission
A leading hospital in the US suddenly saw an increase in readmission of treated patients within a specific duration.
![](https://www.sunrisesys.com/wp-content/uploads/2021/03/Hospital-Readmission_Banner.jpg)
Sunrise Solution
Our analytical solution helps to identify key drivers for patient’s readmission and provided an action plan to minimize the readmission rate.
Process Flow
- Data extracted from the SQL database.
- Data preparation and validation performed.
- Outlier Treatment and missing imputation.
- Train and Test split.
- The classification technique has been performed.
- Identified the key drivers for the readmission.
![](https://www.sunrisesys.com/wp-content/uploads/2021/03/HSP1.png)
Process Flow
- Data extracted from the SQL database.
- Data preparation and validation performed.
- Outlier Treatment and missing imputation.
- Train and Test split.
- The classification technique has been performed.
- Identified the key drivers for the readmission.
![](https://www.sunrisesys.com/wp-content/uploads/2021/03/HSP2.png)
Model - Recommendation
- Among all the classification methods Naïve Bayes has given more accuracy.
- Identified the key drivers driving the readmission score for the company.
- Recommended the areas of improvement.
![](https://www.sunrisesys.com/wp-content/uploads/2021/03/HSP3.png)
Sunrise Approach
“Sunrise provided valued analytical support to our team. Recommend Sunrise for cost effectiveness and quality offshore support.”
Rachel Ballard
Managing Director
Tools and Technologies used
![](https://www.sunrisesys.com/wp-content/uploads/2020/07/image-5.png)
![](https://www.sunrisesys.com/wp-content/uploads/2020/07/mysql.png)
![](https://www.sunrisesys.com/wp-content/uploads/2020/07/group-6.png)
![](https://www.sunrisesys.com/wp-content/uploads/2020/07/image-13-copy-2.png)
![](https://www.sunrisesys.com/wp-content/uploads/2020/07/image-13-copy-3.png)