Medical Temporal-Knowledge Discovery via Temporal Abstraction

  title={Medical Temporal-Knowledge Discovery via Temporal Abstraction},
  author={Robert Moskovitch and Yuval Shahar},
  journal={AMIA ... Annual Symposium proceedings. AMIA Symposium},
Medical knowledge includes frequently occurring temporal patterns in longitudinal patient records. These patterns are not easily detectable by human clinicians. Current knowledge could be extended by automated temporal data mining. However, multivariate time-oriented data are often present at various levels of abstraction and at multiple temporal granularities, requiring a transformation into a more abstract, yet uniform dimension suitable for mining. Temporal abstraction (of both the time and… CONTINUE READING
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