Using kinematic driving data to detect sleep apnea treatment adherence

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Using kinematic driving data to detect sleep apnea treatment adherence

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im Jahr 2017 veröffentlichter wissenschaftlicher Artikel

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scientific article published on 13 September 2017

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wetenschappelijk artikel

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наукова стаття, опублікована у 2017

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name

Using kinematic driving data to detect sleep apnea treatment adherence

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Using kinematic driving data to detect sleep apnea treatment adherence

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Using kinematic driving data to detect sleep apnea treatment adherence

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Using kinematic driving data to detect sleep apnea treatment adherence

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Using kinematic driving data to detect sleep apnea treatment adherence

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Using kinematic driving data to detect sleep apnea treatment adherence

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P1476

Using kinematic driving data to detect sleep apnea treatment adherence

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Jeffrey D Dawson

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John D Lee

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Jon Tippin

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Matthew Rizzo

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P2860

Random Forests

A systematic review of CPAP adherence across age groups: clinical and empiric insights for developing CPAP adherence interventions

Chunking: a procedure to improve naturalistic data analysis.

Variations on a theme: Topic modeling of naturalistic driving data.

The Language of Driving: Advantages and Applications of Symbolic Data Reduction for Analysis of Naturalistic Driving Data.

Obstructive sleep apnea and risk of motor vehicle crash: systematic review and meta-analysis.

Continuous positive airway pressure reduces risk of motor vehicle crash among drivers with obstructive sleep apnea: systematic review and meta-analysis

Burden of sleep apnea: rationale, design, and major findings of the Wisconsin Sleep Cohort study.

Time course of changes in driving simulator performance with and without treatment in patients with sleep apnoea hypopnoea syndrome.

The hazards and prevention of driving while sleepy.

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422-434

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scholarly article

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10.1080/15472450.2017.1369060

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English

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P478

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Nazan Aksan

Anthony D McDonald

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2017-09-13T00:00:00Z

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30344458

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6192061

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