Titlebook: Artificial Intelligence in Medicine; Joint European Confe Werner Horn,Yuval Shahar,Jeremy Wyatt Conference proceedings 1999 Springer-Verlag

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書目名稱Artificial Intelligence in Medicine影響因子(影響力)




書目名稱Artificial Intelligence in Medicine影響因子(影響力)學(xué)科排名




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書目名稱Artificial Intelligence in Medicine網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Artificial Intelligence in Medicine讀者反饋




書目名稱Artificial Intelligence in Medicine讀者反饋學(xué)科排名

RAFF

Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicineon of time-oriented biomedical data. I propose that integration of the two areas should be a major research and development goal. I demonstrate one integration approach by presenting a new architecture, a ., which combines temporal reasoning and temporal maintenance, and integrates the management of

GLOOM

Sonder- und Kombinationsverfahren,er fundamental disciplines, as organization theory, sociology, ethnography, in order to exploit its modeling methodologies to represent behavior within an organization. It will allow the development of systems able to support collaborative work among everybody involved in patient care and organizati

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狂亂

From Clinical Guidelines to Decision Supportese fields different trends and interests can be identified, respectively related to methodology, technique, and health care policy, including cost-effectiveness analysis, armonization of efforts, budget management, quality assessment and support to medical decisionmaking. All the above aspects may

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Artificial Intelligence for Building Learning Health Care Organizationsgnificant progress in developing the underlying methodologies, has taught that AIM is not a field that can be separated from the rest of medical informatics and health economics. Since medicine is inherently an information-management task, effective decision-support systems are dependent on the deve

obtuse

Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicinend . tasks for modern medical information and decision support systems. Both tasks are important for management of clinical data, but the first is often approached mainly through artificial-intelligence methodologies, while the other is usually investigated by the database community. However, both t

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Enhancing Clinical Practice Guideline Compliance by Involving Physicians in the Decision Process physicians behavior. The reasons usually evoked to explain the low physicians compliance consider the incompleteness of guidelines knowledge, the impreciseness of the terms used and the physicians psychological reluctance. Another reason comes from the original verbal design of CPGs as well as the