Programming languages & tools
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Comparison of Risk Adjustment Programs—California Medicaid Managed Care Versus CMS Medicare Advantage, PART II
Risk Adjustment (RA) is a key component for CMS Medicare Advantage program and California Medicaid Managed Care program. While both RA programs follow generally accepted basic principles, their underlying methodologies and assumptions are quite different. Due to recent events, such as COVID-19 Public Health Emergency and Medicaid redetermination delay and restart, it adds complexity to Risk Adjustment. This is a hot topic in the industry and has significant impact to health plans. Keeping current with Risk Adjustment program changes and understanding the commonalities and differences of these two government Risk Adjustment programs is important to our health actuaries. This article compares and contracts these two risk adjustment programs’ methodology and assumptions as well as special considerations due to serving different populations. This is Part II of the two articles on this topic. -
Anders vs. Shea, Part 4: A Champion is Crowned
Shea Parkes, FSA, MAAA, and Anders Larson, FSA, MAAA, reveal the results of the competition and share some final thoughts on the 2021 Milliman Health Practice Hackathon. -
Anders vs. Shea, Part 2: Anders’ Story
Shea Parkes, FSA, MAAA, and Anders Larson, FSA, MAAA, are joined by Nick Vander Heyden to discuss the approach used by Anders’ team in the 2021 Milliman Health Practice Hackathon. -
Emerging Topics Community: Anders vs. Shea, Part 1: Setting the Stage
Shea Parkes, FSA, MAAA, and Anders Larson, FSA, MAAA, are are joined by the organizers of the 2021 Milliman Health Practice Hackathon: Riley Heckel, FSA, MAAA, Austin Barrington, FSA, MAAA, and Phil Ellenberg. -
Actuaries Can Excel® at Data Science (Pun Absolutely Intended)
We explore the use of mito, a Python package that allows users to use excel-like point-and-click interface with large datasets in Python. -
What Actuaries Can Learn from Data Scientists
A description of Data Science best practice tools and how they can apply to general actuarial work. -
Exploiting While Exploring: An Introduction to Bayesian Optimization
An introduction to the methods and parameters for Bayesian Hyperparameter Optimization in a Life Insurance context. -
Machine Learning in the Cloud – Part 1, Intro to the Cloud
Join hosts Anders Larson, FSA, MAAA, and Shea Parkes, FSA, MAAA, for the first in a series of podcasts focused on machine learning in the cloud. This episode introduces a useful definition of the cloud and digs deeper into what aspects of machine learning make it a good fit for cloud based solutions. -
Principal Component Analysis Using R
Principal component analysis is an unsupervised linear transformation mainly used for dimension reduction. Determine key numerical variables with maximum variances in a dataset, identify the correlation and removal of redundant variables are the key aspects of this exploratory data analysis. -
Intro to R
Listen as Anders Larson, FSA, MAAA talks with Shea Parkes, FSA, MAAA in the first of several episodes about data science programming languages. This episode focuses on R, which is probably the most popular languages for data science and statistical analysis in use today. Learn about the history of R, how to get started using it, strengths and weaknesses, and resources for learning more and enhancing your skills. This is the second in a broader series of episodes focusing on languages, libraries, frameworks and cloud providers.
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