Description: Analyzing large quantities of raw complex data is often a challenge in the health care industry. During this webcast, there will be a demonstration of how unsupervised machine learning techniques can be applied to such data to help bring useful insights. This will include examples that use unsupervised learning techniques spanning dimensionality reduction, clustering and anomaly detection.

Description: This article discusses the potential characteristics of health care reform and the associated impact on small insurance companies.

Description: The latest Long-Term Care Insurance Persistency Report covers a three calendar-year period, years 2005 - 2007.

Description: The speech was mainly introduced the current government long-term care insurance in China, analyzed the potential opportunities and challenges of commercial homecare insurance driven by the aging of the society and the pressure of social insurance. Briefly introduced some innovated explorations conducted by our company Fulfill Homecare in these couple of years, with some insurance companies, to bring some thoughts to the innovative insurance product design of commercial care insurance.

Description: This is the informal discussion transcript for concurrent Session 6B: The Changing Face of Elder Care from the January 4-6, 2017 Living to 100 Symposium.

Description: This session at the SOA 1990 Dallas Spring Meeting is about various aspects of long term care insurance from the viewpoints of an agent, a regulator and an investor.

Description: This paper sets forth hospital utilization data from 1978 by age and sex for both prepaid hospital contracts and contracts supplementing medicare. In addition, hospital continuation data from 1977 is provided from regular contracts. From Transactions of Society of Actuaries 1983, Vol. 35.

Description: In this editorial the author discusses how actuaries can help mitigate the impact of managed care lawsuits. Examples are provided. From: The Actuary, April 2000 – volume 34 - Issue 4.

Description: The advent of machine learning algorithms has taken predictive analytics and risk scoring to a new level. From gradient boosting machines to k-nearest neighbors regression, the use of these techniques has gained significant traction in healthcare - including health systems like the Cleveland Clinic. This session will discuss the use of predictive analytics to go beyond just assessing the risk of a patient, and instead focus on prescribing a specific intervention of care. In practice, the recommendation of a care plan goes beyond just attributing a score to a patient. It provides physicians and care coordinators the most probabilistic options - e.g. referral to social worker, depression screening, weight-loss program - for positively impacting a patient's future healthcare outcome.

Description: Presented at the Living to 100 Symposium, January 2011. Long-term care LTC insurance is frequently not covered by national social insurance programs. When costs are expressed as a percentage of gross domestic product, the future burden of financing LTC would not lead to unbearable tax levels and is not particularly large in comparison to the projected costs for pensions and health care. After identifying the breadth of definitions of LTC needs, it is argued that LTC is an insurable risk. The paper concludes that LTC social insurance is affordable in developed countries.