# Deciphering Factors Contributing to Cost-Effective Medicine Using Machine Learning

## TL;DR

This study uses machine learning to find factors that make over-the-counter medicines cost-effective for consumers.

## Contribution

A novel cost-effectiveness rating (CER) was developed using user ratings and prices from Amazon.

## Key findings

- FSA/HSA eligibility, symptom range, and packaging size significantly affect cost-effectiveness.
- Cold medicines with safety warnings are cost-effective due to lower prices and effective ingredients.
- Kid-friendly allergy meds and specific ingredients boost cost-effectiveness in different medication categories.

## Abstract

This study uses machine learning to identify critical factors influencing the cost-effectiveness of over-the-counter (OTC) medications. By developing a novel cost-effectiveness rating (CER) based on user ratings and prices, we analyzed data from Amazon. The findings indicate that Flexible Spending Account (FSA)/Health Savings Account (HSA) eligibility, symptom treatment range, safety warnings, special effects, active ingredients, and packaging size significantly impact cost-effectiveness across cold, allergy, digestion, and pain relief medications. Medications eligible for FSA or HSA funds, treating a broader range of symptoms, and having smaller packaging are perceived as more cost-effective. Cold medicines with safety warnings were cost-effective due to their lower average price and effective ingredients like phenylephrine and acetaminophen. Allergy medications with kid-friendly features showed higher cost-effectiveness, and ingredients like calcium, famotidine, and magnesium boosted the cost-effectiveness of digestion medicines. These insights help consumers make informed purchasing decisions and assist manufacturers and retailers in enhancing product competitiveness. Overall, this research supports better decision-making in the pharmaceutical industry by highlighting factors that drive cost-effective medication purchases.