Banerjee, Imon and Catalano, Chiara Eva and Patanè, Giuseppe and Robbiano, Francesco and Spagnuolo, Michela (2012) Survey on medical ontologies. Technical Report. IMATI, Genova.
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Abstract
One of the challenging directions of the research in modern medicine is towards modeling a digital patient, i.e. a digital counterpart that should represent and abstract the real patient in all of his/her medically relevant aspects. The digital patient is nowadays a realistic vision: we witness a huge flow of data every day, born-digital or easy to digitalize. These range from numerical measurements (lab data, bedside measurements, home instrumentation) to coded data (family history, patient medical history, current complaint, symptoms), from recorded signals (ECG, EEG, EMG) to images (X-ray, MRI, CT, Ultrasound), from physical examinations to narrative text (e.g. doctor’s notes, discharge summaries, ontologies, data bases) . Given this variety of data sources, digital medicine needs a multimodal and combined access to interrelated heterogeneous data. Knowledge formalization techniques provide a good support to multimodal searches as they may be used to build a formal framework to organize data at the various biological scales which contribute information related to the digital patient (shared conceptualization). Based on this integrated view, various modalities to access and visualize data, concepts and information relevant to characterize deseases can be devised. Knowledge specification can be also used to bridge properly the morphological, structural and functional aspects of medically-relevant parts of the human body and used to navigate interactively the data and its properties (e.g. anatomical information and image orientation). For the aforementioned purposes, ontologies are efficient tools for structuring and storing different types of information and their dependencies. Ontologies are not new in the medical domain: they have been introduced and used since years in order to systematize medical knowledge. Also, the importance of semantics-driven annotation of medical data has been subject of many scientific and technological efforts and supported the development of systems to support clinicians in their activities. Existing biological and medical ontologies offer complementary information (e.g., geometric/topological information, disease evolution) on the human body and its functioning or deaseses. Some of them also make available navigation, browsing, and search modalities, which suggest new ways to exploit the multi-scale and multi-modal nature of the knowledge captured. This report surveys ongoing work related to ontology design and development in the medical domain. This includes an overview of existing biomedical ontologies and some relative initiatives, an overview of projects where multiple scales are integrated in advanced visualization systems, and finally an overview of semantics-driven annotation systems for medical data.
| Item Type: | Monograph (Technical Report) |
|---|---|
| Subjects: | 000 Scienza degli elaboratori - Scienze dell’informazione - Scienze archivistiche, librarie e dell'informazione documentaria – opere generali |
| Depositing User: | Ms. Cristiana Costalunga |
| Date Deposited: | 10 Mar 2015 09:43 |
| Last Modified: | 10 Mar 2015 09:43 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/10369 |
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