Bayesian Methods for Diagnosing Physiological Conditions of Human Subjects from Multivariate Time Series Biosensor Data

@inproceedings{Kayaalp2004BayesianMF,
  title={Bayesian Methods for Diagnosing Physiological Conditions of Human Subjects from Multivariate Time Series Biosensor Data},
  author={Mehmet Kayaalp},
  year={2004}
}
In this study, we developed a set of new methods to diagnose physiological conditions (PCs) of human subjects based on biometric multichannel time series data that were obtained through nine biosensors attached on the upper arms of the human test subjects. The task is to learn the relationships between PCs and the biosensor data on the training dataset and identify the PCs of interest on the test dataset.