Machine Learning for Practical Decision Making: A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics

Author:   Christo El Morr ,  Manar Jammal ,  Hossam Ali-Hassan ,  Walid EI-Hallak
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   334
ISBN:  

9783031169892


Pages:   465
Publication Date:   30 November 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Machine Learning for Practical Decision Making: A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics


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Author:   Christo El Morr ,  Manar Jammal ,  Hossam Ali-Hassan ,  Walid EI-Hallak
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   334
Weight:   0.887kg
ISBN:  

9783031169892


ISBN 10:   3031169891
Pages:   465
Publication Date:   30 November 2022
Audience:   College/higher education ,  Postgraduate, Research & Scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Christo El Morr, PhD is an Associate Professor of Health Informatics at the School of Health Policy and Management, York University, Canada. He is also a Research Scientist at North York General Hospital, Toronto, Canada. His research subscribes to an Equity Informatics perspective; it covers Patient-Centered Virtual Care (e.g., chronic disease management, mental health), Global Health Promotion for equity (e.g., equity health promotion), Human Rights Monitoring (e.g., disability rights, Gender-Based Violence), and Equity AI (e.g., patient readmission, disability advocacy). Manar Jammal, PhD is an Assistant Professor at the School of Information Technology, York University, Canada. Her work focuses on developing cutting-edge data analytics techniques and innovative machine learning models in the areas of networking, 5G systems, IoT, and cloud computing. Her research interests include machine learning, software engineering and modeling, distributed systems, cloud computing, network function virtualization, 5G systems, IoT, data analytics, high availability, and software-defined networks. Hossam Ali-Hassan, PhD is an Associate Professor of Information Systems and Chair of International Studies at York University, Glendon campus, Toronto, Canada. Prior to his academic career, he worked for many years as a network specialist and information technology consultant. He currently teaches a variety of courses at York University such as information systems, business analytics, and supply chain management technology. His research interests include business analytics, data literacy, data visualization, experiential learning, social media, social capital, and job performance. Walid El-Hallak, BSc Hons is a Lead Developer at Ontario Health, Canada. With 16 years of healthcare consulting experience in the public and private sectors, he is specialized in integrating clinical systems using healthcare standards such as HL7, IHE and DICOM. He has implementedcomplex province-wide eHealth projects such as the Diagnostic Imaging Network for Northern and Eastern Ontario. Holding a BSc Hons in computer science specialisation Bioinformatics. He has also developed statistical models for biological motif sequence discovery.  

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