The SEPTIMAL study aims at finding risk factors for strokes, in order to create algorithms for its prevention in patients. A wide variety of state-of-the-art machine learning techniques are employed to achieve this goal.
As a researcher and data scientist, I advised in setting up the required data infrastructure and processing pipeline.
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The PRESOMATIC study aims at aiding general practitioners with the early recognition of somatic symptom disorders.
As a researcher and data scientist, I created the data processing pipeline through which the hypotheses were tested.
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Generates plain HTML5 forms from XML schemas (XSDs). Transforms filled-in forms into XML.
XML schemas contain a wealth of information about what data is allowed in an XML structure, and thus how a user interface should be presented. HTML5 supports many new input types and attributes that are compatible with XML schemas. XSD2HTML2XML automates the process of generating forms from XML schemas and extracting valid XML from them after users fill them out. This makes user-generated entering of well-formed, valid XML input easier than ever before.
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JARGON is a natural language processing suite for clinical text. It is built on frog.
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With the Extramural Leiden Academic Network (ELAN) we aim at making primary care data available for academic research.
As ELAN’s technical project leader, I designed and implemented a data infrastructure around the principles of FAIR research data management: to make data findable, accessible, interoperable, and reusable.
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