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A Call to Expand the Scope of Digital Phenotyping

A Call to Expand the Scope of Digital Phenotyping

Digital phenotyping is defined by Onnela and colleagues [1] as the “moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices, in particular smartphones” [2]. Digital phenotyping includes the key components of continuous data collection, on an individual level, captured in a passive way without the imposition of additional data collection tools.

Christopher De Boer, Hassan Ghomrawi, Suhail Zeineddin, Samuel Linton, Soyang Kwon, Fizan Abdullah

J Med Internet Res 2023;25:e39546

Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership

Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership

Furthermore, we will verify the specific impact of the quantification results for ambiguous words such as symptom words and degree words on the use of medical texts in subsequent studies to improve the accuracy and interpretability of medical diagnosis systems. Fodeh et al [16] used a random forest classifier to identify clinical notes with pain assessment information.

Feng Han, ZiHeng Zhang, Hongjian Zhang, Jun Nakaya, Kohsuke Kudo, Katsuhiko Ogasawara

JMIR Form Res 2022;6(11):e38677