伏恢來の詰和雙峭のためのウェアラブル字匂による悶距の容協と嚠霞
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The document discusses research on the impact of chronic health conditions on work performance and economic outcomes for employers. It also references studies on academic performance, mental health, and stress prediction using personality traits and machine learning. The insights aim to highlight the relationship between health and productivity in various contexts.
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[1] Collins, J. J. et al.: The assessment of chronic health conditions on work performance,
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[2] Akane Sano., et al., "Recognizing academic performance, sleep quality, stress level, and mental health using
personality traits", IEEE 12th Wearable and Implantable Body Sensor Networks (2015)
[3] Sara Ann Taylor, et al.," Personalized multitask learning for predicting tomorrow¨s mood, stress, and
health. ", IEEE Transactions on Affective Computing (2017)
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