2015
DOI: 10.1007/s11548-015-1187-0
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Toward knowledge-based liver surgery: holistic information processing for surgical decision support

Abstract: The proposed concept paves the way for holistic treatment strategy planning by enabling joint storing and processing of heterogeneous data from various information sources.

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Cited by 28 publications
(28 citation statements)
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“…3) a formalization of the collection of MVR-relevant patient parameters in the framework of a patient factor model, as suggested, e.g., in März et al [21] , as it allows for comparison with other surgery support reasoning systems via the use of common ontologies.…”
Section: Discussionmentioning
confidence: 99%
“…3) a formalization of the collection of MVR-relevant patient parameters in the framework of a patient factor model, as suggested, e.g., in März et al [21] , as it allows for comparison with other surgery support reasoning systems via the use of common ontologies.…”
Section: Discussionmentioning
confidence: 99%
“…A data science approach to decision-support relies not only upon continuously updating predictive analytics throughout the patient care process but also upon more comprehensive and unconventional sources of data (11,12,13). Furthermore, surgical decisions may be optimized by modeling individual patients within the context of population-level data and other multimodal data sources (14,15). Finally, Surgical Data Science reinforces the importance of integration of such decision-support into patient care workflows via user-friendly data products.…”
Section: Key Clinical Applicationsmentioning
confidence: 99%
“…ODIS successfully offered the modeling language to describe inputs and outputs of the algorithms so that they could be put in a sensible sequence. ODIS is also part of a system for holistic information processing for surgical decision support in liver surgery [43]. The aim of the project is to support treatment planning for neoplasms based on case knowledge, clinical guidelines and studies.…”
Section: Ontology Development At the Karlsruhe Institute Of Technologymentioning
confidence: 99%