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.
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.
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.