A5034903408- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Electronic Health Records Systems
- AI-based Problem Solving and Planning
- Data Quality and Management
- Advanced Database Systems and Queries
- Service-Oriented Architecture and Web Services
- Machine Learning in Healthcare
- Business Process Modeling and Analysis
- Cloud Data Security Solutions
- Spreadsheets and End-User Computing
- Scientific Computing and Data Management
Leipzig University
2015-2020
Clinical information is often stored as free text, e.g. in discharge summaries or pathology reports. These documents are semi-structured using section headers, numbered lists, items and classification strings. However, it still challenging to retrieve relevant since keyword searches applied on complete unstructured result many false positive retrieval results.We concentrating the processing of reports an example for clinical documents. The objective transform semi-automatically into...
The vigilant observation of medical devices during post-market surveillance (PMS) for identifying safety-relevant incidents is a non-trivial task. A wide range sources has to be monitored in order integrate all accessible data about the safety and performance device. PMS needs supported by an efficient search strategy possibility create complex queries domain experts. We use ontologies support specification preparation document corpus, which contains relevant documents. In this paper, we...
We report on a small and medium-sized enterprise (SME) research project funded by the German Federal Ministry of Education Research (Funding: 01IS15056D; duration: Jan 2016-Dec 2017). The focused ontology based post market surveillance for risk analysis medical devices. As general result project, ontologies turned out to be well-founded means multiple purposes as e.g. searching, alerting, or control crawling processes.
Summary Background: Access to patient data within the hospital or between hospitals is still problematic since a variety of information systems in use applying different vendor specific terminologies and underlying knowledge models. Beyond, development electronic health record (EHRSs) time resource consuming. Thus, there substantial need for strategy standardized EHRSs. We are reuse-oriented process model demonstrate its feasibility realization on practical medical case, which an EHRS...
Digital patient modeling targets the integration of distributed data into one overarching model. For this process, both a theoretical standard-based model and information structures combined with concrete instructions in form lightweight development process single standardized Electronic Health Records (EHRs) are needed. In paper, we introduce such along side architecture. It allows implementation EHRs Record System (EHRS) core. The approach is demonstrated tested by prototype...
The treatment of patients with pituitary adenoma requires the assessment various patient data by clinician. Because their heterogeneity, they are stored in different sub-information systems, limiting a fast and easy access. objective this paper is to apply test tools provided openEHR Foundation model relevant for diagnosis disease future intention implement centralised standard-based information platform. This platform should support clinician improve exchange other healthcare institutions....
Legacy data and new structured can be stored in a standardized format as XML-based EHRs on XML databases. Querying documents these databases is crucial for answering research questions. Instead of using free text searches, that lead to false positive results, the precision increased by constraining search certain parts documents. A ontology-based specification queries defines concepts relates them document structure. Such query method practically introduced evaluated applying concrete...
In the life science domain, experts are usually familiar with spreadsheet software and often use it in their daily work to collect structure required domain knowledge. The processing analysis of data is an important task that must be supported by efficient solutions. A typical application scenario for example integration (specified or derived) ontology provide reasoning search. Different converter tools were developed support a spreadsheet-to-ontology transformation. Such allow only...
Abstract In this paper we present results to the problem of an adequate and compact symbolic representation morphological features anatomical structures that serve as surgical landmarks for automated assistance in endoscopic surgery using General Formal Ontology (GFO) a formal framework. For purpose, employed translation from first-order logic more description based formalism with associated benefits, such availability decidable reasoning procedures, purpose landmark recognition hybrid...