A Platform based on Multiple Regression to Estimate the Effect of in-
Hospital Events on Total Charges Reading Summary
As mentioned by the authors, hospitals in the United States are in a constant effort to provide high-
quality services without undergoing unneeded procedures. They think there should be a balance
between optimal health outcomes and the cost of the provided care. Thus, a dynamic estimation
would not only provide an insight on financial burden of the hospital stay, but it could also be used to
drive.
They did two things in their research to achieve the goal:
1. developed and evaluated a multiple linear regression model.
2. integrated the model into a web interface to provide feedback for hospital administration and
clinicians.
Multiple Linear Regression Model
1. Description of Data
They utilize a comprehensive Medicare in-hospital claims file which contains records of
Medicare beneficiaries who used hospital inpatient services in Texas during the year 2013. The
dataset is de-identified and includes more than one million tuples, each representing a hospital
admission
2. Data Preprocessing
They transformed the dataset to a sparse data file by computing multiple binary attributes for
