Artificial Intelligence for Healthcare Applications and Management

1. Introduction Boris Galitsky 2. Multi-case-based reasoning by syntactic-semantic alignment and discourse analysis Boris Galitsky 3. Obtaining supported decision trees from text for health system applications Boris Galitsky 4. Search and prevention of errors in medical databases Saveli Goldberg 5. Overcoming AI applications challenges in health: Decision system DINAR2 Saveli Goldberg and Mark Prutkin 6. Formulating critical questions to the user in the course of decision-making Boris Galitsky 7. Relying on discourse analysis to answer complex questions by neural machine reading comprehension Boris Galitsky 8. Machine reading between the lines (RBL) of medical complaints Boris Galitsky 9. Discourse means for maintaining a proper rhetorical flow Boris Galitsky 10. Dialogue management based on forcing a user through a discourse tree of a text Boris Galitsky 11. Building medical ontologies relying on communicative discourse trees Boris Galitsky and Dmitry Ilvovsky 12. Explanation in medical decision support systems Saveli Goldberg 13. Passive decision support for patient management Saveli Goldberg and Stanislav Belyaev 14. Multimodal discourse trees for health management and security Boris Galitsky 15. Improving open domain content generation by text mining and alignment Boris Galitsky

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• Inteligência artificial
• Linguística computacional
• Bioinformática medica

Natural language processing; medical ontologies; smart healthcare; electronic health records; dialogue manager; wellness/illness recommenders; semantic analysis; machine reading; data mining