Chapter

Ethical Issues in Biomedical Text Mining

This chapter examines the ethical challenges associated with deploying automated and smart healthcare systems, particularly in biomedical text mining. While text-based data is often objective, its sensitivity can be compromised when integrated across medical, technical, and social domains. The automation of natural language processing (NLP) techniques raises ethical concerns in data collection, modeling, and self-learning systems. Ensuring ethical compliance, particularly regarding informed consent and data privacy, is crucial. While anonymization techniques help protect sensitive information, robust ethical frameworks must be implemented to uphold patient rights and data security.