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Akademický článek

Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping

Autor: Prerna Chikersal, Shruthi Venkatesh, Karman Masown, Elizabeth Walker, Danyal Quraishi, Anind Dey, Mayank Goel, Zongqi Xia

Publikováno v: JMIR Mental Health, Vol 9, Iss 8, p e38495 (2022)

BackgroundThe COVID-19 pandemic has broad negative impact on the physical and mental health of people with chronic neurological disorders such as multiple sclerosis (MS). ObjectiveWe presented a machine learning approach leveraging passive sensor da

Externí odkaz: https://doaj.org/article/4d2b73cf64a24498ac4569c92a112269

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Akademický článek

Objective Measurement of Hyperactivity Using Mobile Sensing and Machine Learning: Pilot Study

Autor: Oliver Lindhiem, Mayank Goel, Sam Shaaban, Kristie J Mak, Prerna Chikersal, Jamie Feldman, Jordan L Harris

Publikováno v: JMIR Formative Research, Vol 6, Iss 4, p e35803 (2022)

BackgroundAlthough hyperactivity is a core symptom of attention-deficit/hyperactivity disorder (ADHD), there are no objective measures that are widely used in clinical settings. ObjectiveWe describe the development of a smartwatch app to measure hyp

Externí odkaz: https://doaj.org/article/85c41b2ab817405f916d73df2fa1586b

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Akademický článek

Speaking out of turn: How video conferencing reduces vocal synchrony and collective intelligence.

Autor: Maria Tomprou, Young Ji Kim, Prerna Chikersal, Anita Williams Woolley, Laura A Dabbish

Publikováno v: PLoS ONE, Vol 16, Iss 3, p e0247655 (2021)

Collective intelligence (CI) is the ability of a group to solve a wide range of problems. Synchrony in nonverbal cues is critically important to the development of CI; however, extant findings are mostly based on studies conducted face-to-face. Given

Externí odkaz: https://doaj.org/article/496ec8a9fc5342b89ba074943c081adc

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Akademický článek

Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data

Autor: Doryab, Afsaneh, Villalba, Daniella K, Chikersal, Prerna, Dutcher, Janine M, Tumminia, Michael, Liu, Xinwen, Cohen, Sheldon, Creswell, Kasey, Mankoff, Jennifer, Creswell, John D, Dey, Anind K

Publikováno v: JMIR mHealth and uHealth, Vol 7, Iss 7, p e13209 (2019)

BackgroundFeelings of loneliness are associated with poor physical and mental health. Detection of loneliness through passive sensing on personal devices can lead to the development of interventions aimed at decreasing rates of loneliness. Objective

Externí odkaz: https://doaj.org/article/aba631e84780454b8fb6a6e217cd07c9

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Akademický článek

Revising the WHO verbal autopsy instrument to facilitate routine cause-of-death monitoring

Publikováno v: Global Health Action, Vol 6, Iss 0, Pp 1-17 (2013)

Objective: Verbal autopsy (VA) is a systematic approach for determining causes of death (CoD) in populations without routine medical certification. It has mainly been used in research contexts and involved relatively lengthy interviews. Our objective

Externí odkaz: https://doaj.org/article/b8193168dfba44bf8eeb9c513655197a

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Akademický článek

Developing a public health cadre in 21 st century India: Addressing gaps in technical, administrative and social dimensions of public health services

Autor: Ritu Priya, Anjali Chikersal

Publikováno v: Indian Journal of Public Health, Vol 57, Iss 4, Pp 219-224 (2013)

This paper presents a possible framework for designing a public health cadre in the present context, with lessons from health services development of the last six decades. Three major gaps that the public health cadre is meant to bridge have been ide

Externí odkaz: https://doaj.org/article/edca1a8f60cc44de8658da104eec1579

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