| Attributes | Values |
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| rdf:type
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| rdfs:seeAlso
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| Description
| - Background: The research goal of the Dental segment of the Centre of Biomedical Informatics is focused on the electronic health record (EHR) development for dentistry. Objectives: At the beginning there has been constructed an electronic dental cross %22DentCross%22, which was representing patients dental data in the graphical form. It has been completed with the system of the automatic speech recognition (ASR) and voice synthesis module (TTS). Methods: The main goal of this work was to reach the high entirety of the system and its automatization. For this reason it has been completed with the special record medium for the temporomandibular disorders (TMD). Results: Concerning the experience with the old version the knowledge database (KB) for TMD has been structured differently. A classification diagnostic schema by the American Academy of Orofacial Pain (AAOP) has been used. The KB has been created in the MUDR KB Editor application. On this basis a relational database has been constructed and a user interface for data collection based on MUDR and MUDRLite EHR systems was developed. Conclusions: The main advantage of this system is determination of probable diagnosis of the disease (AAOP) by the system (%22custom%22 component). It is based on the MUDr. Radek Hippmann characteristic data, which have been recorded in the electronic form after the investigation. For the creation of the component of its alone MS Visual Studio.NET 2003 development tool has been used. The whole component is programmed in C# language.
- Background: The research goal of the Dental segment of the Centre of Biomedical Informatics is focused on the electronic health record (EHR) development for dentistry. Objectives: At the beginning there has been constructed an electronic dental cross %22DentCross%22, which was representing patients dental data in the graphical form. It has been completed with the system of the automatic speech recognition (ASR) and voice synthesis module (TTS). Methods: The main goal of this work was to reach the high entirety of the system and its automatization. For this reason it has been completed with the special record medium for the temporomandibular disorders (TMD). Results: Concerning the experience with the old version the knowledge database (KB) for TMD has been structured differently. A classification diagnostic schema by the American Academy of Orofacial Pain (AAOP) has been used. The KB has been created in the MUDR KB Editor application. On this basis a relational database has been constructed and a user interface for data collection based on MUDR and MUDRLite EHR systems was developed. Conclusions: The main advantage of this system is determination of probable diagnosis of the disease (AAOP) by the system (%22custom%22 component). It is based on the MUDr. Radek Hippmann characteristic data, which have been recorded in the electronic form after the investigation. For the creation of the component of its alone MS Visual Studio.NET 2003 development tool has been used. The whole component is programmed in C# language. (en)
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| Title
| - Electronic System for Data Record and Automatic Diagnosis Assessment in the Temporomandibular Joint Disorders
- Electronic System for Data Record and Automatic Diagnosis Assessment in the Temporomandibular Joint Disorders (en)
|
| skos:prefLabel
| - Electronic System for Data Record and Automatic Diagnosis Assessment in the Temporomandibular Joint Disorders
- Electronic System for Data Record and Automatic Diagnosis Assessment in the Temporomandibular Joint Disorders (en)
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| skos:notation
| - RIV/67985807:_____/11:00373472!RIV12-AV0-67985807
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
| - P(1M06014), S, Z(AV0Z10300504)
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| http://linked.open...iv/cisloPeriodika
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/67985807:_____/11:00373472
|
| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - temporomandibular joint; temporomandibular joint disorders; DentCross; electronic health record; AAOP classification (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...odStatuVydavatele
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...i/riv/nazevZdroje
| - European Journal for Biomedical Informatics
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| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
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| http://linked.open...vavai/riv/projekt
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| http://linked.open...UplatneniVysledku
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| http://linked.open...v/svazekPeriodika
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| http://linked.open...iv/tvurceVysledku
| - Dostálová, T.
- Seydlová, M.
- Zvárová, Jana
- Hippmann, R.
- Nagy, Miroslav
|
| http://linked.open...n/vavai/riv/zamer
| |
| issn
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| number of pages
| |
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