Does Twitter language reliably predict heart disease? A commentary on Eichstaedt et al. (2015a)

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Does Twitter language reliably predict heart disease? A commentary on Eichstaedt et al. (2015a)

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im Januar 2018 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована у 2018

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Does Twitter language reliably ...... y on Eichstaedt et al. (2015a)

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Does Twitter language reliably predict heart disease? A commentary on Eichstaedt et al.

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Does Twitter language reliably ...... y on Eichstaedt et al. (2015a)

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Does Twitter language reliably predict heart disease? A commentary on Eichstaedt et al.

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Does Twitter language reliably ...... y on Eichstaedt et al. (2015a)

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Does Twitter language reliably predict heart disease? A commentary on Eichstaedt et al.

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P1476

Does Twitter language reliably ...... y on Eichstaedt et al. (2015a)

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P2093

James C Coyne

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Nicholas J L Brown

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P2860

Psychological language on Twitter predicts county-level heart disease mortality

Big data. The parable of Google Flu: traps in big data analysis.

Death certification and doctors' dilemmas: a qualitative study of GPs' perspectives.

The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place

Socioeconomic status and cardiovascular disease: risks and implications for care.

Socioeconomic gradients in the prevalence of cardiovascular disease in Scotland: the roles of composition and context.

Hyperglycemia and endothelial dysfunction in atherosclerosis: lessons from type 1 diabetes.

Statistically Controlling for Confounding Constructs Is Harder than You Think.

Systematic review of prospective cohort studies of psychosocial factors in the etiology and prognosis of coronary heart disease.

Toward the next generation of research into small area effects on health: a synthesis of multilevel investigations published since July 1998

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e5656

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scholarly article

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10.7717/PEERJ.5656

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English

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2018-01-01T00:00:00Z

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30258732

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Twitter

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6152451

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