Search Results - "Farahani, Nasibeh Zanjirani"

Detection of hypertrophic cardiomyopathy by an artificial intelligence electrocardiogram in children and adolescents by Siontis, Konstantinos C., Liu, Kan, Bos, J. Martijn, Attia, Zachi I., Cohen-Shelly, Michal, Arruda-Olson, Adelaide M., Zanjirani Farahani, Nasibeh, Friedman, Paul A., Noseworthy, Peter A., Ackerman, Michael J.

“…There is no established screening approach for hypertrophic cardiomyopathy (HCM). We recently developed an artificial intelligence (AI) model for the detection…”
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An advanced intermodal service network model for a practical transition to synchromodal transport in the US Freight System: A case study by Zanjirani Farahani, Nasibeh, Noble, James S., McGarvey, Ronald G., Enayati, Moein

“…•Provide managerial insights for synchromodal freight transportation network designs in long haul transportation.•Present routing models based on MIP for a…”
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Estimating Physical Work-Load on ED Clinicians and Staff Using Real-Time Location Systems by Kapoor, Anoushka, Enayati, Moein, Chaudhry, Alisha, Farahani, Nasibeh Zanjirani, Arunachalam, Shivaram P., Nestler, David, Pasupathy, Kalyan

“…Clinicians' work pressure and burnout turned out as an important factor in modern hospitals which urges us to search for rapid and accurate methods to proxy…”
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Echocardiographic Diagnosis of Hypertrophic Cardiomyopathy by Machine Learning by Farahani, Nasibeh Zanjirani, Aguirre, Mateo Alzate, Karlinski Vizentin, Vanessa, Enayati, Moein, Bos, J. Martijn, Medina, Andredi Pumarejo, Larson, Kathryn F., Pasupathy, Kalyan S., Scott, Christopher G., Zacher, April L., Schlechtinger, Eduard, Daniels, Bruce K., Kaggal, Vinod C., Geske, Jeffrey B., Pellikka, Patricia A., Oh, Jae K., Ommen, Steve R., Kane, Garvan C., Ackerman, Michael J., Arruda-Olson, Adelaide M.

“…To develop machine learning tools for automated hypertrophic cardiomyopathy (HCM) case recognition from echocardiographic metrics, aiming to identify HCM from…”
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Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation by Chen, David, Bhopalwala, Huzefa, Dewaswala, Nakeya, Arunachalam, Shivaram P, Enayati, Moein, Farahani, Nasibeh Zanjirani, Pasupathy, Kalyan, Lokineni, Sravani, Bos, J Martijn, Noseworthy, Peter A, Arsanjani, Reza, Erickson, Bradley J, Geske, Jeffrey B, Ackerman, Michael J, Araoz, Philip A, Arruda-Olson, Adelaide M

“…The analysis and interpretation of cardiac magnetic resonance (CMR) images are often time-consuming. The automated segmentation of cardiac structures can…”
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Abstract 15058: Critical Reappraisal of Genetic Variants in Hypertrophic Cardiomyopathy by Alzate Aguirre, Mateo, Pumarejo, Andredi, Zanjirani Farahani, Nasibeh, Giudicessi, John, Arruda-Olson, Adelaide A, Bos, Johan M, Ackerman, Michael J

“…IntroductionHypertrophic cardiomyopathy (HCM) is a disease characterized by genotypic and phenotypic heterogeneity. Correct classification of genetic variation…”
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INVESTIGATING CAUSE OF DEATH IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY by Farahani, Nasibeh Zanjirani, Luceno, Lisvet, Aguirre, Mateo Alzate, Pumarejo, Andredi, Maanja, Maren, Enayati, Moein, Siontis, Konstantinos, Bos, Martijn, Geske, Jeffrey Benjamin, Ackerman, Michael John, Arruda-Olson, Adelaide Maria

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A decision support tool for energy efficient synchromodal supply chains by Farahani, Nasibeh Zanjirani, Noble, James S., Klein, Cerry M., Enayati, Moein

“…The industrial supply chain is a significant consumer of limited energy resources worldwide. Companies have been encouraged to reduce energy costs by…”
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PO-04-202 RESUSCITATED OUT OF HOSPITAL CARDIAC ARREST AS THE INITIAL PRESENTATION OF HYPERTROPHIC CARDIOMYOPATHY by Pumarejo, Andredi, Farahani, Nasibeh Zanjirani, Aguirre, Mateo Alzate, Bos, Johan M., Enayati, Moein, Geske, Jeffrey, Ommen, Steve, Ackerman, Michael J., Arruda-Olson, Adelaide M., Siontis, Konstantinos C.

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MACHINE LEARNING FOR HYPERTROPHIC CARDIOMYOPATHY COHORT IDENTIFICATION FROM ECHOCARDIOGRAMS by Aguirre, Mateo Alzate, Farahani, Nasibeh Zanjirani, Enayati, Moein, Bos, Johan Martijn, Pasupathy, Kaylan S., Geske, Jeffrey Benjamin, Pellikka, Patricia A., Kane, Garvan C., Oh, Jae K., Ackerman, Michael John, Arruda-Olson, Adelaide Maria

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Sleep Posture Classification Using Bed Sensor Data and Neural Networks by Enayati, Moein, Skubic, Marjorie, Keller, James M., Popescu, Mihail, Farahani, Nasibeh Zanjirani

“…Sleep posture has been shown to be important in monitoring health conditions such as congestive heart failure (CHF), sleep apnea, pressure ulcers, and even…”
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Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes by Farahani, Nasibeh Zanjirani, Sundaram, Divaakar Siva Baala, Enayati, Moein, Arunachalam, Shivaram Poigai, Pasupathy, Kalyan, Arruda-Olson, Adelaide M.

“…Hypertrophic cardiomyopathy (HCM) is a genetic heart disease that is the leading cause of sudden cardiac death (SCD) in young adults. Despite the well-known…”
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Trauma Activation Responsiveness: An RFID-enabled trauma flowsheet by Enayati, Moein, Heaton, Heather, Wang, Rona, Marisamy, Gomathi, Farahani, Nasibeh Zanjirani, Hellmich, Thomas, Pasupathy, Kalyan, Kim, Brian, Nestler, David

“…Manually documented trauma flow sheets contain critical information regarding trauma resuscitations in the emergency department (ED). The American College of…”
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Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff by Enayati, Moein, Farahani, Nasibeh Zanjirani, Chaudhry, Alisha P., Kapoor, Anoushka, Arunachalam, Shivaram, Walker, Laura E, Nestler, David, Pasupathy, Kalyan S.

“…Clinicians and staff who work in intense hospital settings such as the emergency department (ED) are under an extended amount of mental and physical pressure…”
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