A framework for self-experimentation in personalized health. - Test2 - elhamkhani - TriplyDB

A framework for self-experimentation in personalized health.

A framework for self-experimentation in personalized health.

http://www.wikidata.org/entity/Q38661836

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Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial.Study protocol: a cluster randomized controlled trial to assess the effectiveness of a therapeutic educational program in oral health for persons with schizophrenia.Health App Use Among Individuals With Symptoms of Depression and Anxiety: A Survey Study With Thematic Coding.Lessons from Practice: Designing Tools to Facilitate Individualized Support for Quitting Smoking.A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection.Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data.Are Nomothetic or Ideographic Approaches Superior in Predicting Daily Exercise Behaviors?QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform.A First Step Towards Behavioral Coaching for Managing Stress: A Case Study on Optimal Policy Estimation with Multi-stage Threshold Q-learning.Routine self-tracking of health: reasons, facilitating factors, and the potential impact on health management practices.Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study

P2860

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P2860

A framework for self-experimentation in personalized health.

http://www.wikidata.org/entity/Q38661836

description

2015 nî lūn-bûn

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2015年の論文

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2015年学术文章

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2015年学术文章

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2015年学术文章

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2015年学术文章

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2015年学术文章

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2015年學術文章

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2015年學術文章

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2015年學術文章

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name

A framework for self-experimentation in personalized health.

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A framework for self-experimentation in personalized health.

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A framework for self-experimentation in personalized health.

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Journal of the American Medical Informatics Association

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A framework for self-experimentation in personalized health.

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James Fogarty

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Jasmine Zia

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Julie A Kientz

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Ravi Karkar

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Roger Vilardaga

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Sean A Munson

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Sonali R Mishra

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P2860

Emerging patient-driven health care models: an examination of health social networks, consumer personalized medicine and quantified self-tracking

Comparison of symptom response following advice for a diet low in fermentable carbohydrates (FODMAPs) versus standard dietary advice in patients with irritable bowel syndrome.

Consistent visual analyses of intrasubject data

A brief history of the randomized controlled trial. From oranges and lemons to the gold standard.

A generalized least squares regression approach for computing effect sizes in single-case research: application examples.

No effects of gluten in patients with self-reported non-celiac gluten sensitivity after dietary reduction of fermentable, poorly absorbed, short-chain carbohydrates.

A diet low in FODMAPs reduces symptoms of irritable bowel syndrome.

Gluten causes gastrointestinal symptoms in subjects without celiac disease: a double-blind randomized placebo-controlled trial.

Food: the forgotten factor in the irritable bowel syndrome.

Diagnosis, comorbidities, and management of irritable bowel syndrome in patients in a large health maintenance organization.

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440-448

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10.1093/JAMIA/OCV150

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3

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23

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26644399

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6095104

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