Search Results - "Stewart, Matthew P."

Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection by Krittanawong, Chayakrit, Virk, Hafeez Ul Hassan, Kumar, Anirudh, Aydar, Mehmet, Wang, Zhen, Stewart, Matthew P., Halperin, Jonathan L.

“…Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very large databases (big data), but the value of this…”
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River winds and pollutant recirculation near the Manaus city in the central Amazon by Zhao, Tianning, Ye, Jianhuai, Ribeiro, Igor O., Ma, Yongjing, Hung, Hui-Ming, Batista, Carla E., Stewart, Matthew P., Guimarães, Patricia C., Vilà-Guerau de Arellano, Jordi, de Souza, Rodrigo A. F., Guenther, Alex B., Martin, Scot T.

“…Abstract Local atmospheric recirculation flows (i.e., river winds) induced by thermal contrast between wide Amazon rivers and adjacent forests could affect…”
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Machine Learning for Ionization Potentials and Photoionization Cross Sections of Volatile Organic Compounds by Stewart, Matthew P., Martin, Scot T.

“…Molecular ionization potentials (IP) and photoionization cross sections (σ) can affect the sensitivity of photoionization detectors (PIDs) and other sensors…”
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River Winds and Transport of Forest Volatiles in the Amazonian Riparian Ecoregion by Ye, Jianhuai, Batista, Carla E., Zhao, Tianning, Campos, Jesus, Ma, Yongjing, Guimarães, Patricia, Ribeiro, Igor O., Medeiros, Adan S. S., Stewart, Matthew P., Vilà-Guerau de Arellano, Jordi, Guenther, Alex B., Souza, Rodrigo Augusto Ferreira de, Martin, Scot T.

“…Volatile organic compounds (VOCs) emitted from forests are important chemical components that affect ecosystem functioning, atmospheric chemistry, and regional…”
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Prediction of the Response of a Photoionization Detector to a Complex Gaseous Mixture of Volatile Organic Compounds Produced by α‑Pinene Oxidation by Stewart, Matthew P., Ohno, Paul E., McKinney, Karena, Martin, Scot T.

“…Photoionization detectors (PIDs) are lightweight and respond in real time to the concentrations of volatile organic compounds (VOCs), making them suitable for…”
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MACHINE LEARNING AND DEEP LEARNING TO PREDICT MORTALITY IN PATIENTS WITH SPONTANEOUS CORONARY ARTERY DISSECTION by Krittanawong, Chayakrit, Kumar, Anirudh, Aydar, Mehmet, Wang, Zhen, Stewart, Matthew P., Baber, Usman, Halperin, Jonathan

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Abstract 12569: Analysis of Deep Learning Models for Prediction of Heart Failure Mortality by Krittanawong, Chayakrit, Johnson, Kipp W, Baber, Usman, Aydar, Mehmet, Wang, Zhen, Stewart, Matthew P, Halperin, Jonathan, Tang, Wilson

“…IntroductionHeart failure (HF) is a leading cause of hospitalization, morbidity and mortality. Deep learning (DL) techniques appear to show promising results…”
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