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Machine Learning Algorithms and Wireless Sensor Network Applied to Medical Diagnosis: A Systematic Review

Ibrahim Goni
2019 American Journal of Electromagnetics and Applications  
, Adaptive Neuro-fuzzy, Neuro-genetic, fuzzy-genetic, and so on that is soft computing to medical diagnosis and also a systematic review on the application of wireless sensor network, wireless sensor is  ...  In this research work systematic approach were used to conduct a survey on recent contributions of the authors that applied Machine learning algorithms or computational intelligence, Artificial intelligence  ...  Application of Wireless Sensor Network to Health Care Systems In the research of [72] Improving Health Care through Mobile Medical Devices and Sensors recommends that Mobile technology offers interesting  ... 
doi:10.11648/j.ajea.20190702.13 fatcat:6qiqz27scna6jhqg46w74n6ttq

Deep learning: emerging trends, applications and research challenges

Mu-Yen Chen, Hsiu-Sen Chiang, Edwin Lughofer, Erol Egrioglu
2020 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
Soft Computing (2020) 24:7835-7838 0123456789().,-volV) (0123456789().,-volV)  ...  We are grateful to the Editor-in-Chief of Soft Computing journal as well as Professor Antonio Di Nola and Professor Raffaele Cerulli for their great effort during all the phases of production.  ...  The quality of their research and their passion for conducting socially meaningful science is reflected in every article.  ... 
doi:10.1007/s00500-020-04939-z fatcat:odpz4kywlfen3nhlmknc7tiz64

Page 890 of Biological Reviews Vol. 88, Issue 4 [page]

2013 Biological Reviews  
to do good for those in the grip of disease.  ...  By illuminating new aspects of physiological function in health and disease, a deeper and more complete understanding of fractal phenomena can provide new targets for behavioural, pharmacological, and  ... 

Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey [article]

Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2021 arXiv   pre-print
After that, we provide a deep literature review for the applications of RL in I-health systems.  ...  Finally, we highlight emerging challenges and outline future research directions in driving the future success of RL in I-health systems, which opens the door for exploring some interesting and unsolved  ...  ACKNOWLEDGMENT This work was made possible by NPRP grant # NPRP12S-0305-190231 from the Qatar National Research Fund (a member of Qatar Foundation).  ... 
arXiv:2108.04087v1 fatcat:ifdpiqwunrawbmpfy6ftjk43g4

Survival with Newly Diagnosed Metastatic Prostate Cancer in the "Docetaxel Era": Data from 917 Patients in the Control Arm of the STAMPEDE Trial (MRC PR08, CRUK/06/019)

Nicholas David James, Melissa R. Spears, Noel W. Clarke, David P. Dearnaley, Johann S. De Bono, Joanna Gale, John Hetherington, Peter J. Hoskin, Robert J. Jones, Robert Laing, Jason F. Lester, Duncan McLaren (+8 others)
2015 European Urology  
in Noncastrate Metastatic Prostate Cancer Trial (GETUG-15; 54 mo) and SWOG Phase III Trial Experience S9346 (49 mo) [12, 16] , and similar to the 42 mo presented for the control arm in the ChemoHormonal  ...  This paper aims to describe survival outcomes for such men and considers these in the context of similar groups in older trials.  ...  Supplementary data Supplementary data associated with this article can be found, in the online version, at j.eururo.2014.09.032.  ... 
doi:10.1016/j.eururo.2014.09.032 pmid:25301760 fatcat:qsrsgylvbraa5d3eptp33fr7sa

A review of multi-agent mobile robot systems applications

Ammar Abdul Ameer Rasheed, Mohammed Najm Abdullah, Ahmed Sabah Al-Araji
2022 International Journal of Power Electronics and Drive Systems (IJPEDS)  
In this paper, a survey of the motivations, contributions, and limitations for the researchers in the MARS field is presented and illustrated.  ...  Despite the wide applicability, many challenges still need to be solved in this system such as the communication links among agents, obstacle detection, power consumption, and collision avoidance.  ...  In addition, MRS is used in a wide range of applications that are conducted to simplify the life of humans such as in health care [33] , where the MRS is handling the coronavirus disease 2019 (COVID-19  ... 
doi:10.11591/ijece.v12i4.pp3517-3529 fatcat:td3nxrzuavaghjyffwiig4qnae

Reinforcement Learning Based Hierarchical Multi-Agent Robotic Search Team in Uncertain Environment

Shahzaib Hamid, Ali Nasir, Yasir Saleem
2021 Mehran University Research Journal of Engineering and Technology  
The performance of this algorithm is measured by introducing agents in an unknown environment with both Markov Decision Process (MDP) and RL policies at their disposal.  ...  Due to increased diversity in multi-agent systems, new models are being developed to handle complexity of such systems.  ...  All the techniques mentioned in (Table 1) are used for the control of an agent in any area.  ... 
doi:10.22581/muet1982.2103.17 fatcat:t3cmclwnlnbjhlm52p6axrlhjq


Rebecca J Rockett, Alicia Arnott, Connie Lam, Rosemarie Sadsad, Verlaine Timms, Karen-Ann Gray, John-Sebastian Eden, Sheryl Le Chang, Mailie Gall, Jenny Draper, Eby Sim, Nathan L Bachmann (+12 others)
2020 bioRxiv   pre-print
Only a quarter of cases appeared to be locally acquired and genomic-based estimates of local transmission rates were concordant with predictions from a computational agent-based model.  ...  This convergent assessment indicates that genome sequencing provides key information to inform public health action and has improved our understanding of the COVID-19 evolution from outbreak to epidemic  ...  A non-research determination for this project was granted by the Health Protection NSW as it was a designated communicable disease control activity.  ... 
doi:10.1101/2020.04.19.048751 fatcat:plv3qpty2bdl5dehd4gnb6w4r4

Antimicrobial resistance surveillance in the AFHSC-GEIS network

William G Meyer, Julie A Pavlin, Duane Hospenthal, Clinton K Murray, Kurt Jerke, Anthony Hawksworth, David Metzgar, Todd Myers, Douglas Walsh, Max Wu, Rosa Ergas, Uzo Chukwuma (+9 others)
2011 BMC Public Health  
Information technology applications have been utilized increasingly to aid in DoD-wide global surveillance for diseases significant to force health protection and global public health.  ...  The goals of these activities are to foster military force health protection and medical diplomacy.  ...  Acknowledgements The authors wish to thank the numerous individuals who perform surveillance as part of the AFHSC-GEIS global network, including all individuals in the Ministries of Health and Ministries  ... 
doi:10.1186/1471-2458-11-s2-s8 pmid:21388568 pmcid:PMC3092418 fatcat:6jr2xukjabaldleiaehdkjjdie

The Future of Epidemiology

Roberta B. Ness, Elizabeth B. Andrews, James A. Gaudino, Anne B. Newman, Colin L. Soskolne, Til Stürmer, Daniel E. Wartenberg, Stanley H. Weiss
2009 Academic Medicine  
Epidemiology is commonly considered the methodologic backbone for the fields of public health and outcomes research because its practitioners describe patterns of disease occurrence, identify risk factors  ...  Several factors that are influencing and will continue to influence epidemiology and the health of the public include factors fundamental to framing the discipline of epidemiology (i.e., its means of communication  ...  One application has led to the recognition of environmental sources (e.g., sulfur dioxide and nitric oxide in auto emissions) for adverse health effects.  ... 
doi:10.1097/acm.0b013e3181bbb4ed pmid:19858828 fatcat:sfsh5mb26za6pmoflvtd5yrzhe


1963 Bulletin of the World Health Organization  
The Cardiovascular Diseases unit of the World Health Organization, Palais des Nations, Geneva, Switzerland, welcomes comments and suggestions from research workers and institutes interested in this problem  ...  areas in which research on thrombosis and vascular disease is urgently needed and to indicating in which of those areas international co-ordination might be of the greatest benefit.  ... 
pmid:14099681 pmcid:PMC2555008 fatcat:uejhmu4dszezllbyllntv37lpe

Numbers in an emergency: the many roles of indicators in the COVID-19 crisis

David Nelken, Mathias Siems
2021 International Journal of Law in Context  
health and of the management of infectious disease.  ...  , second, that the use of data analytics to extract insights from these data makes possible the production of computational indicators, which in turn enable the development of novel computational applications  ...  Conflicts of Interest. None Acknowledgements. None  ... 
doi:10.1017/s1744552321000252 fatcat:55xtsuupc5chlnrpk4mbmm74k4

Revealing COVID-19 transmission in Australia by SARS-CoV-2 genome sequencing and agent-based modeling

Rebecca J. Rockett, Alicia Arnott, Connie Lam, Rosemarie Sadsad, Verlaine Timms, Karen-Ann Gray, John-Sebastian Eden, Sheryl Chang, Mailie Gall, Jenny Draper, Eby M. Sim, Nathan L. Bachmann (+12 others)
2020 Nature Medicine  
from genomic surveillance with predictions of a computational agent-based model (ABM).  ...  These high-resolution genomic data are crucial to track cases with locally acquired COVID-19 and for timely recognition of independent importations once border restrictions are lifted and trade and travel  ...  Genomic epidemiology is a high-resolution tool for public health surveillance and disease control [11] [12] [13] .  ... 
doi:10.1038/s41591-020-1000-7 pmid:32647358 fatcat:jj2lhicauzhaplmefonq3cfdiq

Perfecting the World. The Life and Times of Dr Thomas Hodgkin 1798-1866

H. Swan
1989 Journal of Clinical Pathology  
and in animals frrow transwere discussed by 75 leading researchers in ising purged this group of diseases.  ...  The morphological appearances are all clinicians well covered, and the application of electron transplant microscopic examination of uncultured e to be con-amniotic fluid cells to prenatal diagnosis is  ... 
doi:10.1136/jcp.42.11.1229-b pmcid:PMC501997 fatcat:zht4nlp2h5f5raf2m3cbdu25sm

How Putin can restore Russian research

2018 Nature  
But it could prevent deaths and change lives. ■ O ne of the biggest -and most lucrative -applications of artificial intelligence (AI) is in health care.  ...  In this form of AI, computers process hundreds of thousands of labelled disease images, until they can classify the images unaided.  ... 
doi:10.1038/d41586-018-03066-y pmid:29542695 fatcat:gjzfdaucrvbolewptn3i7jtys4
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