Search Results - "Kamran, Fahad"

Noninvasive Estimation of Hydration Status in Athletes Using Wearable Sensors and a Data-Driven Approach Based on Orthostatic Changes by Kamran, Fahad, Le, Victor C., Frischknecht, Adam, Wiens, Jenna, Sienko, Kathleen H.

“…Dehydration beyond 2% bodyweight loss should be monitored to reduce the risk of heat-related injuries during exercise. However, assessments of hydration in…”
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Automated Loss-of-Balance Event Identification in Older Adults at Risk of Falls during Real-World Walking Using Wearable Inertial Measurement Units by Hauth, Jeremiah, Jabri, Safa, Kamran, Fahad, Feleke, Eyoel W., Nigusie, Kaleab, Ojeda, Lauro V., Handelzalts, Shirley, Nyquist, Linda, Alexander, Neil B., Huan, Xun, Wiens, Jenna, Sienko, Kathleen H.

“…Loss-of-balance (LOB) events, such as trips and slips, are frequent among community-dwelling older adults and are an indicator of increased fall risk. In a…”
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Automatically evaluating balance using machine learning and data from a single inertial measurement unit by Kamran, Fahad, Harrold, Kathryn, Zwier, Jonathan, Carender, Wendy, Bao, Tian, Sienko, Kathleen H, Wiens, Jenna

“…Background Recently, machine learning techniques have been applied to data collected from inertial measurement units to automatically assess balance, but rely…”
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Aligning Machine Learning Solutions With Clinical Needs by Kamran, Fahad

“…The availability of large observational datasets in healthcare presents an opportunity to leverage machine learning techniques to learn complex relationships…”
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Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study by Kamran, Fahad, Tang, Shengpu, Otles, Erkin, McEvoy, Dustin S, Saleh, Sameh N, Gong, Jen, Li, Benjamin Y, Dutta, Sayon, Liu, Xinran, Medford, Richard J, Valley, Thomas S, West, Lauren R, Singh, Karandeep, Blumberg, Seth, Donnelly, John P, Shenoy, Erica S, Ayanian, John Z, Nallamothu, Brahmajee K, Sjoding, Michael W, Wiens, Jenna

“…To create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in…”
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Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19 by Singh, Karandeep, Valley, Thomas S, Tang, Shengpu, Li, Benjamin Y, Kamran, Fahad, Sjoding, Michael W, Wiens, Jenna, Otles, Erkin, Donnelly, John P, Wei, Melissa Y, McBride, Jonathon P, Cao, Jie, Penoza, Carleen, Ayanian, John Z, Nallamothu, Brahmajee K

“…The Epic Deterioration Index (EDI) is a proprietary prediction model implemented in over 100 U.S. hospitals that was widely used to support medical…”
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When to Remember Where You Came from: Node Representation Learning in Higher-order Networks by Belth, Caleb, Kamran, Fahad, Tjandra, Donna, Koutra, Danai

“…For trajectory data that tend to have beyond first-order (i.e., non-Markovian) dependencies, higher-order networks have been shown to accurately capture…”
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