Improved nonparametric survival prediction using CoxPH, Random Survival Forest & DeepHit Neural Network
Authors (first, second and last of 7)
Collection
Sensor informatics and disease prediction
This collection welcomes submissions on novel developments in the field of sensor informatics, for disease prevention and health risk assessment, early disease detection, and monitoring of chronic diseases. Any technical advancement for the acquisition, processing, use, and retrieval of wearable sensor-collected biomedical data will be also considered.
Editors
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Fazlullah Khan
He works at the Department of Computer Science, Nottingham University Ningbo China. He has been working in academia and industry since 2011 on sensing technologies. His research interests are Intelligent and robust protocol designs, IoT, Machine Learning, Artificial Intelligence, Data Analytics, and Health Informatics. His research has been published in IEEE TII, IEEE IoT, IEEE TNSE, TCSS, TGCN, ITS, Elsevier FGCS, JNCA, Springer NCAA, and MONET. He has served as Guest Editor of the IEEE JBHI, SMCM, TCE, Elsevier DCAN, Springer NCAA, and MONET. He has served over 10 conferences in leadership capacities including General Chair and Co-Chair.
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Imran Razzak
He works at the School of Computer Science and Engineering, University of New South Wales, Australia. His area of research includes connecting language and vision for better interpretation of multidimensional data and spans three broad areas: Machine Learning, Computer Vision, and Natural Language Processing with special emphasis on healthcare and the use of natural language to explain the rationale and decision-making process behind the use of machine learning algorithms and models. He has published more than 200 research articles in top-notch venues and served as Guest Editor of the IEEE JBHI, SMCM, TCE, TII, TCSS, and Springer Nature.
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T Poongodi
T Poongodi is currently working as a Professor in the School of Computing Science & Engineering at the Galgotias University, Delhi – NCR, India. She has published 50+ book chapters, 15+ authored/edited books and 30+ international journals and conferences in the areas of Internet of Things, Data Analytics, Blockchain Technology, Artificial Intelligence, Machine Learning, and Healthcare Informatics, published by reputed publishers such as Springer, Elsevier, IET, Wiley, De-Gruyter, CRC Taylor & Francis, and Apple Academic Press. She received awards namely the Research and Innovation award (2019, 2020, 2021), from Galgotias University.
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Varun G Menon
Varun G Menon is currently a Professor and Head of the Department of Computer Science Engineering, and International Collaborations in charge at SCMS School of Engineering and Technology, India. He is a Distinguished Speaker of ACM and a Senior Member of IEEE. He is currently an associate editor of Physical Communications, IET Networks, IET Quantum Communications, series editor of IEEE Transactions on Intelligent Transportation Systems, technical editor of Computer Communications. His research interests include Sensor Technologies, Artificial Intelligence, Internet of Things, Green IoT, Wireless Communication, Fog Computing and Networking.
Articles (5 in this collection)
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Early prediction of sudden cardiac death risk with Nested LSTM based on electrocardiogram sequential features
Authors (first, second and last of 5)
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Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer
Authors (first, second and last of 9)
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