The next generation of fatigue prediction models: evaluating current trends in biomathematical modelling
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Title
The next generation of fatigue prediction models: evaluating current trends in biomathematical modelling
Authors
Keywords
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Journal
THEORETICAL ISSUES IN ERGONOMICS SCIENCE
Volume -, Issue -, Pages 1-23
Publisher
Informa UK Limited
Online
2022-11-12
DOI
10.1080/1463922x.2022.2144962
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Note: Only part of the references are listed.- Sleep classification from wrist-worn accelerometer data using random forests
- (2021) Kalaivani Sundararajan et al. Scientific Reports
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- (2018) Henry T. Peng et al. ERGONOMICS
- Does Implementation of Biomathematical Models Mitigate Fatigue and Fatigue-related Risks in Emergency Medical Services Operations? A Systematic Review
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- 2B-Alert App: A mobile application for real-time individualized prediction of alertness
- (2018) Jaques Reifman et al. JOURNAL OF SLEEP RESEARCH
- Real-time individualization of the unified model of performance
- (2017) Jianbo Liu et al. JOURNAL OF SLEEP RESEARCH
- Stan: A Probabilistic Programming Language
- (2017) Bob Carpenter et al. Journal of Statistical Software
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- (2017) Venkata P. Chavali et al. SLEEP
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- (2017) Tihomir Asparouhov et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
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- (2017) Srinivasan Rajaraman et al. SLEEP
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- (2016) Virginia Gewin NATURE
- A Unified Model of Performance: Validation of its Predictions across Different Sleep/Wake Schedules
- (2016) Sridhar Ramakrishnan et al. SLEEP
- 2B-Alert Web: An Open-Access Tool for Predicting the Effects of Sleep/Wake Schedules and Caffeine Consumption on Neurobehavioral Performance
- (2016) Jaques Reifman et al. SLEEP
- Modeling Neurocognitive Decline and Recovery During Repeated Cycles of Extended Sleep and Chronic Sleep Deficiency
- (2016) Melissa A. St. Hilaire et al. SLEEP
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- (2015) Sridhar Ramakrishnan et al. JOURNAL OF SLEEP RESEARCH
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- A unified mathematical model to quantify performance impairment for both chronic sleep restriction and total sleep deprivation
- (2013) Pooja Rajdev et al. JOURNAL OF THEORETICAL BIOLOGY
- Look before you (s)leep: Evaluating the use of fatigue detection technologies within a fatigue risk management system for the road transport industry
- (2013) Drew Dawson et al. SLEEP MEDICINE REVIEWS
- A biomathematical model of the restoring effects of caffeine on cognitive performance during sleep deprivation
- (2012) Sridhar Ramakrishnan et al. JOURNAL OF THEORETICAL BIOLOGY
- Diffusion model for one-choice reaction-time tasks and the cognitive effects of sleep deprivation
- (2011) R. Ratcliff et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Reproducible Research in Computational Science
- (2011) R. D. Peng SCIENCE
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- (2010) B.D. Fulcher et al. JOURNAL OF THEORETICAL BIOLOGY
- Role overload and underload in relation to occupational stress and health
- (2009) Kenneth S. Shultz et al. STRESS AND HEALTH
- Sleep Versus Wake Classification From Heart Rate Variability Using Computational Intelligence: Consideration of Rejection in Classification Models
- (2008) A. Lewicke et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Individualized performance prediction of sleep-deprived individuals with the two-process model
- (2007) Srinivasan Rajaraman et al. JOURNAL OF APPLIED PHYSIOLOGY
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