January 3, 2024

Quantifying Unpredictability: Exploring Applications of the Heston Model in Healthcare

A financial model used to quantify unpredictable fluctuations in the stock market shows promise for improving analysis in healthcare. The Heston Model captures volatile dynamics like sudden surges and gradual reversion to the mean. This could translate to better epidemiologic forecasting and optimization of medication dosing. Rigorous testing is needed, but the versatility of mathematical techniques merits an open mind. If validated for medical uses, this stochastic volatility framework could provide clinical insight.

Citation: Heston TF. Quantifying uncertainty: potential medical applications of the heston model of financial stochastic volatility. Contemporary Perspective on Science, Technology and Research. 2024 Jan 1;3:92-103. doi: https://doi.org/10.9734/bpi/cpstr/v3/2797G

https://faculty.washington.edu/theston/repository/2024%20Quantifying%20Uncertainty.pdf