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- W2578804566 abstract "The advances in IoT and wearable sensors enable long term monitoring, which promotes earlier and more reliable diagnosis in health care. This position paper proposes a probabilistic method to address the challenges in handling longitudinal sensor signals that are subject to stochastic uncertainty in health monitoring. We first explain how a longitudinal signal can be transformed into a Markov model represented as a matrix of conditional probabilities. Further, discussions are made on how the derived models of signals can be utilized for anomaly detection and classification for medical diagnosis." @default.
- W2578804566 created "2017-01-26" @default.
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- W2578804566 date "2016-01-01" @default.
- W2578804566 modified "2023-10-05" @default.
- W2578804566 title "Towards a Probabilistic Method for Longitudinal Monitoring in Health Care" @default.
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- W2578804566 doi "https://doi.org/10.1007/978-3-319-51234-1_5" @default.
- W2578804566 hasPublicationYear "2016" @default.
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