Publications by R on notast
How I set up my first website (again)
Rebirth A week ago, I created my first website using Hugo template, Tufte. Initially, I was eagar to write my posts using Tufte style but I had severeal difficulties with the template. Firstly, I could not display full RSS feeds. Having a website with full RSS feeds is a prerequisite to be on r-bloggers. Secondly, the tags did not work. When I wa...
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Process Mining (Part 1/3): Introduction to bupaR package
Event Logs The digitalization of healthcare is more than just electronic medical records. It has also allowed each instance a clinician conducts an activity for a patient to be stored as a log. These logs stored in the healthcare institution’s information system are known as event logs. Event logs captured these fundamental information: Activi...
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Process Mining (Part 2/3): More on bupaR package
Recap In the last post, the discipline of event log and process mining were defined. The bupaR package was introduced as a technique to do process mining in R. Objectives for This Post Visualize workflow Understand the concept of activity reoccurrences We will use a pre-loaded dataset sepsis from the bupaR package. This event log is based on r...
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Process Mining (Part 3/3): More analysis and visualizations
Intro A week ago, Havard Business Review published an article on process mining and provided reasons for companies to adopt it. If you need a refresher on the concepts of process mining, you can refer to my first post. Conducting process mining is easy with R’s bupaR package. bupaR allows you to create a variety of visualizations as you analyse...
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What’s that disease called? Overview of icd package
Intro There are many illnesses and diseases known to man. How do the various stakeholders in the medical science industry classify the same illness? The illness will need to be coded in a standardized manner to aid in fair reimbursements and concise reporting of diseases. The International Classification of Diseases (ICD) provides this uniform co...
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Explaining Predictions: Interpretable models (logistic regression)
Introduction The rise of machine learning In this current 4th industrial revolution, data science has penetrated all industries and healthcare is no exception. There has been an exponential use of machine learning in clinical research in the past decade and it is expected to continue to grow at an even faster rate in the following decade. Many m...
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Explaining Predictions: Interpretable models (logistic regression)
Introduction The rise of machine learning In this current 4th industrial revolution, data science has penetrated all industries and healthcare is no exception. There has been an exponential use of machine learning in clinical research in the past decade and it is expected to continue to grow at an even faster rate in the following decade. Many m...
7689 sym R (7252 sym/16 pcs)
Explaining Predictions: Interpretable models (decision tree)
Introduction This is a follow up post of using simple models to explain machine learning predictions. In the last post, we introduced logistic regression and in today’s entry we will learn about decision tree. We will continue to use the Cleveland heart dataset and use tidymodels principles where possible. The details of the Cleveland heart dat...
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Adding Syntax Highlight
Syntax highlighting Previously, I posted entries without any syntax highlighting as I was satisfied using basic blogdown and Hugo functions until a Disqus member commented in the previous post to use syntax highlighting. Thus, I tasked myself to learn more about syntax highlighting and to implement them in future posts. Now I’d like to share wh...
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Explaining Predictions: Random Forest Post-hoc Analysis (permutation & impurity variable importance)
Intro Recap There are 2 approaches to explaining models Use simple interpretable models. This approach was covered in the previous posts where we looked at logistic regression and decision trees as examples of white box models. Conduct post-hoc interpretation on models. There are two are two types of post-hoc analysis which can be done, model s...
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