This book, adopting machine learning techniques for the financial
planning field, explores the demand for life insurance as seen in
previous literature and both estimates and predicts the demand for
the adoption of life insurance using these techniques. Previous
studies used diverse perspectives, like actuarial and life span, in
order to understand the demand for life insurance, though these
approaches have shown inconsistent findings. Employing two
theoretical backgrounds-ecological systemic theory and artificial
intellectual methodology-this book explores a better estimation and
a prediction of the demand for life insurance and will be of
interest to academics and students of insurance, financial
planning, and risk management.
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