Results 141 to 150 of about 1,709,470 (196)
Atten-LTC-Enhanced MoE Model for Agent Trajectory Prediction in Autonomous Driving. [PDF]
Jiang S, Wang R, Ding R, Ye Q, Liu W.
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Enabling digital multifactorial risk assessment in primary care: an umbrella review and recommendations for design and implementation. [PDF]
Taylor LC +4 more
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Intraoperative prediction of postanaesthesia care unit hypotension
British Journal of Anaesthesia, 2022Postoperative hypotension is associated with adverse outcomes, but intraoperative prediction of postanaesthesia care unit (PACU) hypotension is not routine in anaesthesiology workflow. Although machine learning models may support clinician prediction of PACU hypotension, clinician acceptance of prediction models is poorly understood.We developed a ...
O'Hara, Kenton +14 more
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Predicting Influenza Epidemic for United States
International Journal of Environmental Health Research, 2020Influenza causes repeat epidemics and huge loss of lives and properties. To predict influenza epidemics, we proposed an infectious disease dynamic prediction model with control variables (SEIR-CV), which considers the characteristics of the influenza epidemic transmission, seasonal impacts, and the intensity changes of control measures over time.
Long, Zhou +4 more
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Predicting Hypertension in the United States
International Journal of Applied Research on Public Health Management, 2021This paper demonstrates the application of machine learning (ML) to predict patients with hypertension. The data was gathered from the New York City community health survey database for the 2018 survey year, which contains self-reported socio-demographic and health-related items.
Suzie Jean, Sukhen Dey
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Predicting Multiple Unit Franchising
Journal of Marketing Channels, 2003Abstract This paper examines the current status of multiple unit franchising in Australia. A review of previous research in the United States highlights some characteristics that may be unique to the Australian setting such as the age and size of franchise systems, the “hands on” involvement and experience of existing franchisees, monitoring cost ...
Weaven, Scott, Frazer, Lorelle
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