Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Early classification of time series has been receiving a lot of attention recently.   present a model, which  call the Early Classification Model ECM, that allows for early, accurate and patient-specific classification of multivariate observations. ECM is comprised of an integration of the widely used Hidden Markov Model HMM and Support Vector Machine SVM models. It attained very promising results on the datasets  tested it on: in one set of experiments based on a published dataset of response to drug therapy in Multiple Sclerosis patients, ECM used only an average of 40% of a time series and was able to outperform some of the baseline models, which needed the full time series for classification. In the set of experiments tested on a sepsis therapy dataset, ECM was able to surpass the standard threshold-based method and the state-of-the-art method for early classification of multivariate time series.
['Mohamed F. Ghalwash', 'Dušan Ramljak', 'Zoran Obradovic']
I am writing a research paper on a idea Patient-specific early classification of multivariate observations
[{"from": "human", "value": "I am writing a research paper on a idea Patient-specific early classification of multivariate observations"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Early classification of time series has been receiving a lot of attention recently.   present a model, which  call the Early Classification Model ECM, that allows for early, accurate and patient-specific classification of multivariate observations. ECM is comprised of an integration of the widely used Hidden Markov Model HMM and Support Vector Machine SVM models. It attained very promising results on the datasets  tested it on: in one set of experiments based on a published dataset of response to drug therapy in Multiple Sclerosis patients, ECM used only an average of 40% of a time series and was able to outperform some of the baseline models, which needed the full time series for classification. In the set of experiments tested on a sepsis therapy dataset, ECM was able to surpass the standard threshold-based method and the state-of-the-art method for early classification of multivariate time series."}]