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Yi-Ling Lin: SOA Predictive Analytics Program Prepares You for Health Care’s Future
Yi-Ling Lin: SOA Predictive Analytics Program Prepares You for Health Care’s Future Yi-Ling Lin, FSA, MAAA, FCA, started the SOA’s Predictive Analytics Certificate Program to keep pace with the ...- Authors: Society of Actuaries
- Date: Nov 2019
- Topics: Health & Disability; Health & Disability>Chronic health management - Health & Disability; Health & Disability>Health care; Health & Disability>Health care quality; Health & Disability>Health information technology; Health & Disability>Health insurance; Health & Disability>Health risks; Health & Disability>Payment models; Predictive Analytics; Health & Disability>Affordable Care Act (ACA); Health & Disability>Association Health Plans; Health & Disability>Claims - Health & Disability; Health & Disability>Provider networks; Health & Disability>Provider risk; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools; Health & Disability>Electronic medical record
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Cambodian Insured Lives Mortality with Data Science
Cambodian Insured Lives Mortality with Data Science Our firm has developed the first publicly available insured lives mortality table for Cambodia using data science methods. This essay provides ...- Authors: Nicholas Yeo
- Date: Jul 2020
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Innovators & Entrepreneurs
- Topics: Predictive Analytics>Programming languages & tools; Technology & Applications>Artificial intelligence & machine learning
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Deep Learning and Actuarial Experience Analysis
Deep Learning and Actuarial Experience Analysis Deep learning neural network applied to experience analysis for post-level term lapse and mortality. Neural networks, Mortality Assumption, ...- Authors: Kevin Kuo, Robert Crompton
- Date: May 2019
- Competency: Results-Oriented Solutions
- Publication Name: CompAct
- Topics: Experience Studies & Data; Experience Studies & Data>Mortality; Experience Studies & Data>Policyholder or participant behavior - Experience ; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools
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Principal Component Analysis using R
Principal Component Analysis using R Principal component analysis is an unsupervised linear transformation mainly used for dimension reduction. Determine key numerical variables with maximum ...- Authors: Soumava Dey
- Date: Jun 2020
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Technology Today
- Topics: Technology & Applications>Analytics and informatics; Predictive Analytics>Programming languages & tools; Technology & Applications>Artificial intelligence & machine learning; Technology & Applications>Visualization