This week, I am working to get the dynamic time warping functionality into my program. The process of doing so includes re-processing the features to include the time series, putting each series back together when we construct sequences, and then performing the DTW to generate a number that will be used to compute the kNN of each sequence which can then be used for predictions with the models. The processing time of these activities has gone up significantly since we have been using five different metrics with each of the F phase datasets. I am returning to school next week, and once I've completed the DTW processing all that will remain before we put together our second paper (The date for the reach journal we would like to submit it to is October 1), I am hoping I will have time to look again into the Agglomerative Hierarchical Clustering concept, which I did not successfully complete when we explored it earlier in the summer and then changed focus to the paper. We heard back
This week, I completed the all-subject feature calculator. I do not have a lot of new information to report on this front, as we are calculating all of the same features we were doing for one individual subject. The next step will be to start looking through these features and seeing what parts of the data might be useful to us going forward in our classification.
Dr. Sprint has given Alexa and I a copy of a sleep study in which sleep quality was measured by something called the Daytime Activity Ratio. This calculated what proportion of the patient's activity occurred during the day. We both plan to incorporate this new feature into our calculations to see what sort of results we get.
Dr. Sprint has given Alexa and I a copy of a sleep study in which sleep quality was measured by something called the Daytime Activity Ratio. This calculated what proportion of the patient's activity occurred during the day. We both plan to incorporate this new feature into our calculations to see what sort of results we get.
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