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Predictiveness vs. Interpretability
Predictiveness vs. Interpretability We compare two predictive analytics methods - GLM and GBM in terms of predictiveness vs. interpretability. GLM, GBM, Predictive Analytics 10/17/2019 12:00:00 ...- Authors: Kimberly Steiner, Boyang Meng
- Date: Oct 2019
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: CompAct
- Topics: Predictive Analytics; Predictive Analytics>Modeling techniques
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When Affordability Savings Do Not Reduce Costs
When Affordability Savings Do Not Reduce Costs Regression to the mean is a phenomenon that arises when comparing sequential data points. It states that when an initial observation is extreme or ...- Authors: Tony Pistilli
- Date: Dec 2020
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: Health Watch
- Topics: Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Regression analysis; Predictive Analytics>Modeling techniques; Predictive Analytics>Quality control & model governance
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Better Care Through Understanding the Customer Not Just the Patient
As actuaries in health care, we spend most of our time focused on reviewing claims, enrollment and clinical data. That information is captured while patients are in health care facilities. Yet ...- Authors: James Dolstad, Craig Cartossa, Justin Hartmann
- Date: Dec 2021
- Competency: Results-Oriented Solutions; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Publication Name: Health Watch
- Topics: Health & Disability; Health & Disability>Health care; Health & Disability>Health care quality; Health & Disability>Health insurance; Health & Disability>Health risks; Health & Disability>Payment models; Predictive Analytics; Health & Disability>Provider networks; Health & Disability>Provider risk; Predictive Analytics>Modeling techniques
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Incorporating Random Effects to Reduce Variance in Risk Score Estimation
Incorporating Random Effects to Reduce Variance in Risk Score Estimation Traditional risk scoring models include only fixed (non-random) demographic and condition-based variables. By including ...- Authors: Robert Jason Reed (Jason)
- Date: Jul 2021
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Health Watch
- Topics: Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Regression analysis; Predictive Analytics>Modeling techniques
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Gaining Trust in Predictive Models—an Actuarial Perspective
Gaining Trust in Predictive Models—an Actuarial Perspective This article provides an overview of activities that should be considered by an actuary when validating a predictive model. It ...- Authors: David Alison FSA (David)
- Date: Sep 2021
- Competency: Communication; External Forces & Industry Knowledge; Results-Oriented Solutions; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Publication Name: The Financial Reporter
- Topics: Predictive Analytics>Modeling techniques; Predictive Analytics>Quality control & model governance; Technology & Applications>Artificial intelligence & machine learning