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There are many attributes when we try to identify the risk factors associated with certain diseases, especially during the pandemic of COVID-19 in recent years – given the dynamics and fast changing environment and inputs. RFDA by Ultipa is such a function pool that allow dynamic factors to be input and analyzed and top risk factor to be identified.

  • Pain Points
  • Low Flexibility

    Healthcare professionals cannot get satisfying results by using traditional statistical research methodologies to find the high potential risk factors for assessing diseases. In a real-life situation, to recognize the top contributing risk factors of some deadly diseases or epidemics can be a much tougher topic.

    Ease of Use

    By using real-time neuromorphic deep graph computing methodology, healthcare professional can quickly build, update in real-time disease assessment knowledge graph, adding new risk factors or adjusting weight of any factor in white-box explainable fashion, and seek for causality paths or networks between or among any number of factors.