Titlebook: Digital Phenotyping and Mobile Sensing; New Developments in Harald Baumeister,Christian Montag Book 20191st edition Springer Nature Switze

中產(chǎn)階級

書目名稱Digital Phenotyping and Mobile Sensing影響因子(影響力)




書目名稱Digital Phenotyping and Mobile Sensing影響因子(影響力)學(xué)科排名




書目名稱Digital Phenotyping and Mobile Sensing網(wǎng)絡(luò)公開度




書目名稱Digital Phenotyping and Mobile Sensing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Digital Phenotyping and Mobile Sensing被引頻次




書目名稱Digital Phenotyping and Mobile Sensing被引頻次學(xué)科排名




書目名稱Digital Phenotyping and Mobile Sensing年度引用




書目名稱Digital Phenotyping and Mobile Sensing年度引用學(xué)科排名




書目名稱Digital Phenotyping and Mobile Sensing讀者反饋




書目名稱Digital Phenotyping and Mobile Sensing讀者反饋學(xué)科排名

Interferons

Ethical Considerations of Digital Phenotyping from the Perspective of a Healthcare Practitionericine and psychiatry, use of digital phenotyping raises several ethical concerns. We use insights derived from a clinical case study to frame these different ethical questions. We discuss how current healthcare practice and privacy policies address these questions and impose requirements for non-hea

essential-fats

Computerized Facial Emotion Expression Recognitional and valence of emotional expressions. Such ratings are very time-consuming and have limited objectivity due to rater biases. By exploiting improvements in machine learning, the demand for a swifter and more objective method to assess facial emotional expressions was met by a plethora of software.

Atrium

可耕種

Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile Sensingt as being an ideal self-tracking technology that permits both active logging (via self-reports) and passive tracking of information (via phone logs and mobile sensors). In this chapter, we present the results of a literature review of smartphone-based personal informatics studies across three diffe

使迷惑

Digital Brain Biomarkers of Human Cognition and Mooders have several limitations. They are obtrusive, requiring a subject to break from their normal routine. They are episodic and provide sparse snapshots of a patient only at the time of the assessment. They require subjects to perform a task outside of the context of everyday behavior. And lastly, t

使迷惑

Concerto

無價值

Latest Advances in Computational Speech Analysis for Mobile Sensinga result, any given speech signal contains an abundant array of information about the speaker in terms of both the intended message, i.e., the linguistic content, and insights into particular states and traits relating to the speaker, i.e., the paralinguistic content. In the field of computational s

VOK