Mining Biomedical Text, Images and Visual Features for Information Retrieval

Discover a practical roadmap to the convergence of language, images and machine intelligence in medicine with Mining Biomedical Text, Images and Visual Features for Information Retrieval by Sujata Dash, Subhendu Kumar Pani, Wellington Pinheiro Dos Santos and Jake Y. Chen. This authoritative volume captures cutting-edge techniques that power effective biomedical information retrieval across clinical, research and public-health settings.

Begin with a compelling exploration of why extracting meaning from clinical notes, research articles and medical images matters now more than ever. The book explains how natural language processing, computer vision and feature engineering combine to improve search, diagnosis support and literature discovery for researchers and clinicians worldwide.

Inside, you’ll find clear, methodical coverage of core topics: biomedical text mining, image-based feature extraction, multimodal data fusion, retrieval algorithms and practical evaluation metrics. Case studies illustrate real-world applications—from accelerating systematic reviews and enhancing EHR search to improving radiology retrieval and drug-safety surveillance. Technical depth is balanced with accessible explanations, making the book valuable for data scientists, informaticians, clinicians and graduate students.

Imagine faster literature discovery, smarter clinical decision support and more efficient research workflows—this book shows you how to get there with reproducible approaches, best practices and actionable insights. Whether you’re based in North America, Europe, Asia or beyond, this resource equips you to apply advanced information-retrieval techniques to healthcare challenges in your region.

Add this essential reference to your library and start transforming biomedical data into discovery. Order your copy today and lead the next wave of innovation in biomedical information retrieval.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.