Akshay Singh – Medium

Jul 6, 2019

Conclusion — A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 15

Hyperparameter Tuning — Hyperparameter tuning with GridSearchCV Utilizing the GridSearchCV functionality, we will create a dictionary with parameters we are looking to optimize to create the best model for our data. Hyperparameter tuning is a recursive process and out of an infinite number of combinations that can happen, we need to tune the…

Machine Learning

4 min read

Jul 6, 2019

Model Interpretation — A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 14

Model Interpretation — Like we had implemented SHAP Framework for our background research data set (here), we will now implement SHAP Framework on our Random Forest model. SHAP Framework will help to explain our Random Forest model and show which features are more relevant for certain predictions and for the model as a…

Machine Learning

5 min read

Jul 6, 2019

Model Evaluation & Selection — A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 13

Model Evaluation and Selection — Continuing from the Part 12 of the series, let us quickly record the performance of all our base algorithms against the performance metrics we had set.

Machine Learning

3 min read

Jul 6, 2019

Classification Algorithms — A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 12

Decision Tree The implementation of Decision Tree Classifier is done as per the code snippets below:

Machine Learning

3 min read

Jul 6, 2019

Classification Algorithms — A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 11

Evaluation of Algorithms We will first split the data set into Training and Testing samples using train_test_split functionality of sklearn using a test size of 20%.

Machine Learning

3 min read

Jul 6, 2019

Performance Metrics — A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 10

Performance Metrics — Before we begin our modelling, there is one issue with our data set which needs to be dealt with. This is the problem of class imbalance. In our data set, we have only 10% records corresponding to readmission category.

Machine Learning

4 min read

Jul 6, 2019

Feature Engineering — A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 9

Feature Engineering — New Feature(s) Creation The features — number_inpatient, number_emergency and number_outpatient show how much hospital services a patient has utilized in the previous year. We will add these three features together for every patient record to create a new feature ‘service_utilization’.

Healthcare

10 min read

A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 9

Jul 5, 2019

Data Preparation — A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 8

Data Preprocessing — Let us now delve into the data preparation stage of our analysis. From our Exploratory Data Analysis, we notice that there are a large number of records where the feature variable has ‘?’ as one of the values. Let’s look at how much such values we have for each feature:

Data Science

3 min read

A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 8

Jul 5, 2019

Exploratory Data Analysis — A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 7

Exploratory Data Analysis — The EDA has been done through a mix of Tableau, Python Visualization libraries(matplotlib and seaborn) and MS Excel Without further ado, let’s dive in. Our data set has 50 features. This would make our analysis pretty cumbersome and confusing if we don’t follow a structure. When introducing our data set…

Data Science

9 min read

A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 7

Jul 5, 2019

Data Science Project Life Cycle — A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 6

Data Science Project Life Cycle — Let’s start by discussing briefly about a typical Data Science Project Life Cycle. The very first step is developing a Business Understanding and Requirement. Defining the problem and understanding its impact on the end-users at this stage is critical for all the stages that follow. Once the business requirement has…

Data Science

3 min read

A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 6