The digital phenotype

By Sachin H. Jain, Brian W. Powers, J. Hawkins, John S. Brownstein. Nature Biotechnology, 2015

372 citations recorded by the source corpus.

Subfields: Epidemiology, General Health Professions, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/a3c8fba88bfc5fa78f3eba47dff65b0aeb3bb2df

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

1. Rosalind W. Picard
2. Akane Sano
3. Stephen M. Schueller
4. David C. Mohr

In Human-Computer Interaction

1. Rosalind W. Picard
2. Stephen M. Schueller
3. David C. Mohr

Citations in the corpus

• Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning (2017, background): “a be as reality mining (Eagle & Pentland 2006), personal informatics (Li et al. 2010), digital phenotyping (Jain et al. 2015, Torous et al. 2016), and personal sensing (Klasnja et al. 2009).”
• Mobile technology and the digitization of healthcare. (2016, background): “mHealth is a positive behavioural change resulting from patients actively participating in self-care and shared decision-making.(28,29) Device-related factors including design simplicity and usability are”
• The Promise of Digital Health: Then, Now, and the Future. (2022, background): “…and analyzed, datasets that incorporate structured and unstructured clinical data, SDoH information, genomics, digital phenotype data collected from wearables, and other data can make it possible to change baseline understandings of health and disease (Engelhard et al., 2020; Jain et al., 2015).”
• Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study (2018, background): “Leveraging data from wearable and mobile devices to gain meaningful information about human health has been called digital phenotyping [1-3].”
• New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research (2016, background): “Note that our definition of digital phenotyping is distinct from the “digital phenotype” that was introduced recently [8].”