The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery.
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Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication.The use of self-quantification systems for personal health information: big data management activities and prospectsMining personal data using smartphones and wearable devices: a surveyHeart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research - Recommendations for Experiment Planning, Data Analysis, and Data Reporting.Early repositioning through compound set enrichment analysis: a knowledge-recycling strategy.Integrative analysis of longitudinal metabolomics data from a personal multi-omics profileBig Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social Media Working Group.Privacy in the digital world: medical and health data outside of HIPAA protections.A framework for smartphone-enabled, patient-generated health data analysisMobile phones carry the personal microbiome of their ownersBidirectional Relationships Between Fatigue and Everyday Experiences in Persons Living With HIV.The Social Context of "Do-It-Yourself" Brain Stimulation: Neurohackers, Biohackers, and Lifehackers.Determining PM2.5 calibration curves for a low-cost particle monitor: common indoor residential aerosols.Self-tracking the microbiome: where do we go from here?Ethics and Epistemology in Big Data Research.Social rhythms of the heartA Human-Centered Design Methodology to Enhance the Usability, Human Factors, and User Experience of Connected Health Systems: A Three-Phase Methodology.DEVELOPING THE TRANSDISCIPLINARY AGING RESEARCH AGENDA: NEW DEVELOPMENTS IN BIG DATA.E-health beyond technology: analyzing the paradigm shift that lies beneath.Contemporary HIV/AIDS research: Insights from knowledge management theory.Understanding Monitoring Technologies for Adults With Pain: Systematic Literature Review.Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs.Relationship Between the Menstrual Cycle and Timing of Ovulation Revealed by New Protocols: Analysis of Data from a Self-Tracking Health App.Information Quality Challenges of Patient-Generated Data in Clinical Practice.Online weight-loss services and a calculative practice of slimming.Epigenetics and precision medicine in cardiovascular patients: from basic concepts to the clinical arena.Are Nomothetic or Ideographic Approaches Superior in Predicting Daily Exercise Behaviors?QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform.Crowdsourced Health Data: Comparability to a US National Survey, 2013-2015.The Googlization of health research: from disruptive innovation to disruptive ethics.The use of mobile devices for physical activity tracking in older adults’ everyday life.The Future of Technology in Positive Psychology: Methodological Advances in the Science of Well-Being.Data for life: Wearable technology and the design of self-careFrom data fetishism to quantifying selves: Self-tracking practices and the other values of dataPotenziale für POCT im Internet of Things (IoT)All the moments of our lives:self-archiving from Christian Boltanski to lifeloggingThe mundane experience of everyday calorie trackers: Beyond the metaphor of Quantified SelfWear is Your Mobile? Investigating Phone Carrying and Use Habits with a Wearable DeviceQuantile Coarsening Analysis of High-Volume Wearable Activity Data in a Longitudinal Observational StudyA New Machine Learning-Based Framework for Mapping Uncertainty Analysis in RNA-Seq Read Alignment and Gene Expression Estimation
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P2860
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery.
@ast
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery.
@en
type
label
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery.
@ast
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery.
@en
prefLabel
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery.
@ast
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery.
@en
P356
P1433
P1476
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery.
@en
P2093
Melanie Swan
P356
10.1089/BIG.2012.0002
P577
2013-06-01T00:00:00Z