How is predictive analytics being used in cancer treatment?
Predictive analytics involves using statistical algorithms and machine learning techniques to predict future outcomes based on historical data. In cancer treatment, predictive analytics can forecast disease progression, treatment response, and potential side effects. By analyzing data from previous patients, predictive models can help oncologists tailor treatment plans to individual patients, improving outcomes and minimizing adverse effects. These models are also instrumental in identifying high-risk patients who may benefit from more intensive monitoring or early intervention.
