Fujitsu Corporation

Jeffrey Fischer

Ajay Chander

Suhas E Chelian

Vivek Lakshmanan

A method may include directing display of a dataset menu listing datasets representative of graphs. The method may include identifying features in the datasets as corresponding to nodes and edges. The method may include selecting local or global mapping to map categorical feature values to numeric values. Local mapping may be selected in response to a distribution of feature values not corresponding across different graphs. Global mapping may be selected in response to a distribution of the feature values corresponding across different graphs. The method may include directing display of configuration settings that indicate the selection between local and global mapping for training a classification model. The method may include obtaining selected configuration settings. The method may include providing the selected configuration settings and datasets to a machine learning backend, which may utilize the machine learning algorithm, datasets, and selected configuration settings to train the classification model.

Accessible machine learning backends

A method of real peak detection includes optimizing a scoring function using training signals with known peaks and known features. The method includes receiving an input signal measured from a mobile sensor and representative of a cyclic biological process. The method includes filtering the input signal to remove low and high frequency noise. The method includes identifying candidate peaks and troughs within a selected time range of the input signal. The method includes extracting a feature that describes properties of the two or more candidate peaks. The method includes scoring the candidate peaks using the scoring function, selecting a real peak as the candidate peak with the highest score, and generating a biologic interval data set with the real peak and another peak that is representative of health markers. The method includes assessing a condition of the patient based on the biologic interval data set.

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Sunnyvale, CA, United States of America

Jeffrey Fischer