Question

consists of creating a tool that can assess/predict possible readmissions to the hospital. Please create a tool that can be used during hospital or after hospitalization as a follow up

Answer 1

Machine Learning can be used as a tool to predict hospital readmissions providing 94% accuracy. It is one of the most important branch of Artificial intelligence(AI).

Steps:

1)Creating a dataset; it consists of all the observations of the patients which include patient characteristics ,conditions,tests and medications.

2)Data pre-processing : this includes transforming the data and cleaning. In data transformation we change some data from categorical to binary that is, 1s and 0s and some variables are transformed from integer to string. In data cleaning we detect the values of categorical data that were missing and perform imputation.

3)Feature Selection: Here the most applicable feature is selected. Gradient boosting technique is used.

then various machine learning models are used such as

• logistic regression
• support vector machine
• naive bayesian classifier
• multi-layer perceptron