Learning Clinical Pathway Patterns by Hidden Markov Model

This paper adopts Hidden Markov Models (HMMs) for discovering clinical pathways. An HMM is a stochastic probabilistic model for modeling sequential or time-series data and easily incorporating new instances to update the model. This study demonstrates the proposed framework of discovering clinical p...

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Bibliographische Detailangaben

Hauptverfasser:	Fu-ren Lin, Lu-shih Hsieh, Shung-mei Pan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Health information management Hidden Markov models Hospitals Information technology Insurance Medical diagnostic imaging Medical services Quality management Stochastic processes Total quality management
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