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Applying machine learning in motor activity time series of depressed bipolar and unipolar patients

2020-04-07

Abstract excerpt

<h4>ABSTRACT</h4> Current practice of assessing mood episodes in affective disorders largely depends on subjective observations combined with semi-structured clinical rating scales. Motor activity is an objective observation of the inner physiological state expressed in behavior patterns. Alterations of motor activity are essential features of bipolar and unipolar depression. The aim was to investigate if objecti...

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Literature Corpus work
baccfaa7-c26c-5ec2-9356-62423f25b667
DOI
10.1101/2020.04.07.029561
Open publication

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Applying machine learning in motor activity time series of depressed bipolar and unipolar patientsDOI 10.1101/2020.04.07.029561
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