Clinical Text Mining

Hercules Dalianis, Master of Science in engineering (civilingenjör) with speciality in electrical engineering, graduated in 1984 at the Royal Institute of Technology, KTH, Stockholm, Sweden, and received his PhD/Teknologie doktor in 1996 also at KTH. Since 2011 he is professor in Computer and Systems Sciences at Stockholm University, Sweden. Since 1988 he has carried out research in natural language processing and information retrieval, and during the last ten years he has applied these methods on text from electronic patient records, resulting in the research area clinical text mining.

• Introduction.- The history of the patient record and the paper record.- User needs: clinicians, clinical researchers and hospital management.- Characteristics of patient records and clinical corpora.- Medical classifications and terminologies.- Evaluation metrics and evaluation.- Basic building blocks for clinical text processing.- Computational methods for text analysis and text classification.- Ethics and privacy of patient records for clinical text mining research.- Applications of clinical text mining.- Networks and shared tasks in clinical text mining.- Conclusions and outlook.- References.- Index.