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Insurance, Life

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NT-proBNP Predicts All-Cause Mortality in a Population of Insurance Applicants, Follow-up Analysis and Further Observations.

Journal of insurance medicine (New York, N.Y.) 29490161
OBJECTIVE: - Further refine the independent value of NT-proBNP, accounting for the impact of other test results, in predicting all-cause mortality for individual life insurance applicants with and without heart disease.
Aged Aged, 80 and over Biomarkers Female Follow-Up Studies Heart Diseases Humans Insurance, Life Male Middle Aged Mortality Natriuretic Peptide, Brain Peptide Fragments Predictive Value of Tests Prognosis Risk Assessment
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Through the Looking Glass Darkly: How May AI Models Influence Future Underwriting?

Journal of insurance medicine (New York, N.Y.) 39266001
Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditions continue to evolve. Instances provided in this treatise include using a simple one-view PA chest radiograph to screen for Type 2 Diabetes Mellitus ...
Artificial Intelligence Deep Learning Diabetes Mellitus, Type 2 Electrocardiography Heart Failure Humans Insurance, Life Mass Screening Radiography, Thoracic United States
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