首页|Data on Machine Learning Reported by Researchers at University of Stellenbosch (Diagnosis Prediction Using Knowledge Graphs)
Data on Machine Learning Reported by Researchers at University of Stellenbosch (Diagnosis Prediction Using Knowledge Graphs)
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NETL
NSTL
Southern African Inst Industrial Engineering
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating from Stellenbosch, South Africa, by NewsRx correspondents, research stated, “Con- sultations between doctors and patients form the basis of the interaction between both parties, and lay the groundwork for administering appropriate treatment. Advances in machine learning, information, and communication technologies have enabled healthcare practitioners to enhance the manner in which data are captured and analysed during these information-rich meetings.” Our news editors obtained a quote from the research from the University of Stellenbosch, “The true potential of clinical data can only be realised if clinical data sources are synthesised in an appropriate data-representation and modelling approach. One such approach is the so-called knowledge graph (KG). The aim in this paper is to model consultation-related data in a KG and thereafter employ graph machine- learning techniques to identify missing links between entities in the graph through link prediction, thereby providing additional decision support to doctors.” According to the news editors, the research concluded: “A case study data set comprising a list of patients, their respective conditions, and their medications forms the basis of the algorithmic analysis that is carried out.”
StellenboschSouth AfricaAfricaCyborgsEmerging Tech- nologiesMachine LearningUniversity of Stellenbosch
NETL
NSTL
Southern African Inst Industrial Engineering
