This study introduces a web forum analysis model designed to support corporate foresight in the medical industry. By leveraging web, text, and data mining techniques, the model analyzes forum content to identify the key needs of Alzheimer’s disease patients and their families. It tracks time-series patterns of major topics and uses an epidemic model to study the dynamics of topic discussions. This model helps the medical industry predict future market trends by estimating topic persistence and attention levels.