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Methodology
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Community Based Participatory Research
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Change in Leadership of the NIH Office of Behavioral and Social Sciences Research
April 11, 2014


The Health Consequences of Smoking - 50 Years of Progress. A Report of the Surgeon General
January, 2014


Dr. Patricia Mabry Co-Authors SOPHE Special Journal Suplement Showcasing New Applcations of Systems Science to Health Promotion and Public Health
November, 2013

  More News >>

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May 16, 2014
2 pm - 3 pm EST.
BSSR Lecture Series:

Demographic, Social, Behavioral, and Emotional Determinants of Cardiovascular Risk
Rockville, MD 


May 23, 2014
2 pm - 4 pm EST.
BSSR Lecture Series:

Culture, Research, and Health Outcomes Panel
Bethesda, MD 

More Events >>

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Home > Scientific AreasMethodologymHealth > mHealth Webinar Series


mHealth Webinar Series



UPCOMING WEBINARS


PAST WEBINARS

Adolescents' Use and Perceived Usefulness of Mobile Technology for Meeting their Health Information Needs and Improving Adherence to Improved Health Behaviors

Rebecca SchnallRebecca Schnall, RN PhD
Assistant Professor of Nursing,
Columbia University
New York, NY
February 19, 2014

PowerPoint Slides with Audio (PPTX 84.4MB)
Presentation Slide (PDF 84.4MB)

Research on health information has primarily focused on the needs of adults or parents of children with chronic illnesses or consumers. There is limited research on the health information needs of adolescents and the use of technology for meeting those needs. This is particularly important as the use of mobile technology has made a huge impact on communication, access, and information/resource delivery to adolescents, who are the largest age group of users of this technology. We conducted a series of studies with urban minority adolescents to understand their health information needs, their use of mobile devices for accessing health information and their use of mobile technology for adherence to new health behaviors. The purpose of this presentation will be to discuss adolescents use and perceived usefulness of mobile technology for accessing health information resources and for adhering to improved health behaviors.

 

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Mobile Health (mHealth): From smart phone apps and sensor streams to behavioral biomarkers

Dr. Kaplan, OBSSR DirectorWe are experiencing some technical difficulty with the webinar footage. We hope to get it resolved soon. In the meantime please find the slides below.

Deborah Estrin, Ph.D.,
Professor of Computer Science,
Cornell NYC Tech
January 29, 2013

PDF image Presentation Slides (PDF 2.43MB)

The most significant health and wellness challenges increasingly involve multiple chronic conditions, from diabetes, hypertension, and asthma to depression, chronic-pain, sleep and neurological disorders. The promise of mobile health (mHealth) is that we can leverage the power and ubiquity of mobile and cloud technologies to monitor and understand symptoms, side effects and treatment outside the clinical setting, thereby closing the feedback loops of self-care, clinical-care, and personal-evidence-creation.

However, to realize this promise, we must develop new data capture, processing and modeling techniques to convert the ‘digital exhaust’ emitted by mobile phone use into behavioral biomarkers. This calls for the sort of modular layered processing framework used in speech and vision in which low level state classifications of raw data (e.g., estimated activity states such as sitting, walking, driving from continuous accelerometer and location traces), are used to derive mid-level semantic features (e.g., total number of ambulatory minutes, number of hours spent out of house), that can then be mapped to particular behavioral biomarkers for specific diseases (e.g., chronic pain, GI dysfunction, MS, fatigue, depression, etc). The techniques needed to derive these markers will range from simple functions to machine learning classifiers, and will need to fuse diverse data types, but all will need to cope with noisy, erratic data sources.


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                  Office of Behavioral and Social Sciences Research, Office of the Director
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