Datasets:

mastergopote44
/

Long-Term-Care-Aggregated-Data

Tasks:

Feature Extraction

Modalities:

Formats:

Languages:

Size:

Tags:

Actuarial Science

Categorical Variable

Libraries:

License:

Dataset card Viewer Files Files and versions Community

mastergopote44 commited on Jan 31

Commit

199a0e0

•

1 Parent(s): 0629e20

Update README.md

Files changed (1) hide show

README.md +2 -5

README.md CHANGED Viewed

@@ -2,7 +2,7 @@
 license: apache-2.0
 ---
-# Project 1 Proposal for Long Term Care(LTC) Aggregated Dataset
 KAO, HSUAN-CHEN(Justin)  <br>
 NetID: hk310
@@ -16,14 +16,11 @@ The dataset features a broad spectrum of variables, from demographic information
 By combining the incidence and termination datasets, insurers gain a comprehensive understanding of both the initiation and conclusion of LTC insurance policies. This complete perspective is vital for actuaries and analysts to assess risk, set appropriate reserves, design tailored products, and determine pricing strategies that reflect the true cost of providing LTC coverage. It also aids in regulatory compliance and ensures that insurance products are both financially viable for the provider and beneficial for the consumer. Through careful analysis of this aggregated data, insurers can predict trends, modify underwriting practices, and make informed decisions to manage their portfolios effectively.
 ### Dataset Sources [optional]
 <!-- Provide the basic links for the dataset. -->
-- **Repository:** SOA Actuarial Practice Modules[https://www.soa.org/education/exam-req/edu-module-fap-detail/]
 ## Uses

 license: apache-2.0
 ---
+# Project 1 Proposal of the Long Term Care(LTC) Aggregated Dataset
 KAO, HSUAN-CHEN(Justin)  <br>
 NetID: hk310
 By combining the incidence and termination datasets, insurers gain a comprehensive understanding of both the initiation and conclusion of LTC insurance policies. This complete perspective is vital for actuaries and analysts to assess risk, set appropriate reserves, design tailored products, and determine pricing strategies that reflect the true cost of providing LTC coverage. It also aids in regulatory compliance and ensures that insurance products are both financially viable for the provider and beneficial for the consumer. Through careful analysis of this aggregated data, insurers can predict trends, modify underwriting practices, and make informed decisions to manage their portfolios effectively.
 ### Dataset Sources [optional]
 <!-- Provide the basic links for the dataset. -->
+- **Repository:** SOA Actuarial Practice Modules[https://www.soa.org/sections/long-term-care/long-term-care-resources/]
 ## Uses