Description: Read the June 2021 issue of General Insurance Insights published by the General Insurance section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Read the Feb. 2017 issue of Innovators & Entrepreneurs.

Description: The article documents the efficacy of infra-low frequency neurofeedback regarding how it improves patient no show rates, decreases mental health symptoms by 40% or more, and self-harm and suicidal ideations.

Description: This article provides an overview of critical illness insurance: history, product description, and the three primary ways to offer critical illness coverage in the United States. This article also contains an illustration of an issue age premium rate calculation, as well as product features and rating applications specific to the various types of critical illness coverage.

Description: This Q&A article discusses the use of machine learning to analyze unstructured data. Supriya Ramachandra, a data scientist at SIKKA, explains how her team uses natural language processing techniques, technical aspects of neural networks, LSTM modeling, and natural language processing. Machine learning allows for the classification of large amounts of unorganized data, providing actionable information for actuaries.

Description: Savings from biosimilars have accelerated significantly in the past few years. There has been a number of relatively recent biosimilar launches that can help to shape our expectations of the financial impact that could result from this year’s big event. Savings from biosimilars have accelerated significantly in the past few years. There has been a number of relatively recent biosimilar launches that can help to shape our expectations of the financial impact that could result from this year’s big event.

Description: This link leads to the machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.

Description: University of New South Wales Australia

Description: Read information about the Disclaimer on Attendee List Requests.