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Clinical big data and deep learning: Applications, challenges, and future outlooks

Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang
2019 Big Data Mining and Analytics  
discussed and details provided of some public clinical datasets.  ...  Secondly, a brief review of common deep learning models and their characteristics is conducted.  ...  The input of medical images can be categorized as vector format, 2D pixel or 3D voxel values, which are suitable for typical multilayer neural networks and convolutional networks, respectively.  ... 
doi:10.26599/bdma.2019.9020007 dblp:journals/bigdatama/YuLLLW19 fatcat:72fi4naporetvlq4unvlypbzne

Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners

Luis Bote-Curiel, Sergio Muñoz-Romero, Alicia Gerrero-Curieses, José Luis Rojo-Álvarez
2019 Applied Sciences  
The academic effort that has been put into bringing these technologies to the healthcare sector are then summarized and analyzed from a twofold view as follows: first, the landscape of application examples  ...  Then, we pay attention to the application fields that can be said to have delivered relevant real-world success stories, with emphasis on examples from large technology companies and financial institutions  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app9112331 fatcat:3szr5juksvhafnn2odfkmvrqni

The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype

Musa Abdulkareem, Steffen E. Petersen
2021 Frontiers in Artificial Intelligence  
COVID-19 has created enormous suffering, affecting lives, and causing deaths.  ...  Science and technology have helped in the implementation of policies of many governments that are directed toward mitigating the impacts of the pandemic and in diagnosing and providing care for the disease  ...  and causing deaths.  ... 
doi:10.3389/frai.2021.652669 pmid:34056579 pmcid:PMC8160471 fatcat:a2x2mhixzzdldgarlww5mogbke

Category Definitions [chapter]

Dean F. Sittig
2017 Clinical Informatics Literacy  
filtering Computational complexity Conditional decision trees Convolutional neural network (CNN) Crowdsourcing Cryptographic hashing functions Data compression algorithm Decision stump Decision  ...  It includes protecting and controlling physical access to the hardware, as well as protecting the software or data from harm that may come via inappropriate network access, data corruption, or code injection  ...  Many professional organizations are involved in the development and monitoring of professional and academic educational programs, and updating the skills of its membership.  ... 
doi:10.1016/b978-0-12-803206-0.00001-8 fatcat:ts57p4xi2nflrpo4j5jthqov4u

27th Annual Computational Neuroscience Meeting (CNS*2018): Part One

2018 BMC Neuroscience  
the neural recordings of locust.  ...  Acknowledgement Neural Engineering System Design (NESD) program from the Defense Advanced Research Projects Agency (DARPA).  ...  The theory of attractor neural networks has been influential in our understanding of the neural processes underlying spatial, declarative, and episodic memory.  ... 
doi:10.1186/s12868-018-0452-x pmid:30373544 pmcid:PMC6205781 fatcat:xv7pgbp76zbdfksl545xof2vzy

Internet of Things 2.0: Concepts, Applications, and Future Directions

Ian Zhou, Imran Makhdoom, Negin Shariati, Muhammad Ahmad Raza, Rasool Keshavarz, Justin Lipman, Mehran Abolhasan, Abbas Jamalipour
2021 IEEE Access  
FIGURE 10 . 10 2D Convolution Filtering. o: Convolutional Neural Network (CNN) p: Recurrent Neural Network (RNN) X FIGURE 11 . 11 RNN Layer at time t.  ...  e: K-Nearest Neighbor (KNN) FIGURE 8 . 8 Sample Feedforward Neural Network Architecture. m: Collaborative Filtering (CF) FIGURE 9 . 9 General Convolutional Neural Network Architecture.  ... 
doi:10.1109/access.2021.3078549 fatcat:g5jkc5p6tngpfonbhtsbcjipai

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
of the outstanding features of CARS is the personal (analogue) interaction of participants from different disciplines and cultures.  ...  Preface Analogue and Digital CARS 2020 Congress The overarching purpose of the scholarly publication and communication process of IJCARS in the context of the CARS congress could be defined as: "To enable  ...  Acknowledgements We would like to gratefully thank members in Image-Lab, department of Radiology, the University of Tokyo Hospital. We also thank Dr. Kimura and Dr.  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng Chen, Shibin Wang, Baijie Qiao, Qiang Chen
2017 Frontiers of Mechanical Engineering  
On the basis of the review of basic theory of machinery fault diagnosis and its practical applications in engineering, the paper concludes with a brief discussion on the future trends and challenges in  ...  Machinery fault diagnosis has progressed over the past decades with the evolution of machineries in terms of complexity and scale.  ...  , and reproduction in any medium, provided the appropriate credit is given to the original author(s) and the source, and a link is provided to the Creative Commons license, indicating if changes were made  ... 
doi:10.1007/s11465-018-0472-3 fatcat:xngm4jcct5berhuf33rqoxfc6i

D2.2 The COLLABS Level-3 Security Package for Secure Digital Supply Networks: 1st complete version

Panagiotis Rizomiliotis, Konstantinos Tserpes, Aikaterini Triakosia
2021 Zenodo  
It describes and demonstrates the various technologies that form the COLLABS Level-3 security package for secure digital supply networks.  ...  This the second deliverable of Work Package 2 tasks T2.1 (Tools and methods for secure data sharing), T2.2 (Trustworthiness of data flows), T2.3 (Machine learning-based cognitive security framework), T2.4  ...  It is possible to categorize different attack types on ICS networks, depending on the scope of their targets and their applications:  Network wide attacks are attacks targeting (or originated from) a  ... 
doi:10.5281/zenodo.5667012 fatcat:xgzhqfeq6nbwte4h256pntlkau

Learning Representations of Social Media Users [article]

Adrian Benton
2018 arXiv   pre-print
In this thesis, we begin by showing how user representations can be learned from multiple types of user behavior on social media.  ...  Computer scientists consider the problem of inferring user representations more abstractly; how does one extract a stable user representation - effective for many downstream tasks - from a medium as noisy  ...  Summary This chapter presents a non-traditional application of user features and embeddings: Motivation Suicide is one of the leading causes of death worldwide, and over 90% of individuals who die  ... 
arXiv:1812.00436v1 fatcat:qp2hf6f6nfe7djyjakkns36epq

International Research Conference on Smart Computing and Systems Engineering SCSE 2020 Proceedings [Full Conference Proceedings]

2020 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE)  
ACKNOWLEDGMENT The authors would like to extend their heartfelt gratitude and acknowledgment to all the language experts, Sinhala teachers from different schools and especially, the Sinhala Department  ...  ACKNOWLEDGMENT The authors would like to thank the Department of Census and Department of Irrigation, Sri Lanka for providing the paddy yield and climate data for this study.  ...  Keywords: Contextual assistants, Recurrent neural networks, Word embedding I.  ... 
doi:10.1109/scse49731.2020.9313027 fatcat:gjk5az2mprgvrpallwh6uhvlfi

List of Contributors [chapter]

Siddhartha Bhattacharyya, Indradip Banerjee, Shibakali Gupta
2019 Big Data Security  
it directly affects people's health and causes millions of deaths per year.  ...  Biometric identification can replace a classic identification with a username and password, which is faster and 2 Digital identity protection using blockchain for academic qualification certificates safer  ...  The proper analysis of static and streaming datasets in big data technology can assure to develop applications on medical and other scientific relevance and thus there can be a huge scope of business opportunities  ... 
doi:10.1515/9783110606058-202 fatcat:3jtqdtgsavas7n3vxrtbrkdbdy