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Predicting Infections using Computational Intelligence – A Systematic Review

Alejandro Baldominos, Adrian Puello, Hasan Ogul, Tunc Asuroglu, Ricardo Colomo-Palacios
2020 IEEE Access  
In this paper, we survey the state of the art on infection prediction using computer science by means of a systematic literature review.  ...  INDEX TERMS Computational intelligence, expert systems, infection prediction, machine learning, physiological signals, systematic literature review.  ...  As a result, this is a very comprehensive survey of the topic, and to the best of our knowledge, it is the first entirely focusing on infection prediction using computational intelligence.  ... 
doi:10.1109/access.2020.2973006 fatcat:fwhjcexkazakjjeyuyregdn2jy

Artificial Intelligence for COVID-19: A Systematic Review

Lian Wang, Yonggang Zhang, Dongguang Wang, Xiang Tong, Tao Liu, Shijie Zhang, Jizhen Huang, Li Zhang, Lingmin Chen, Hong Fan, Mike Clarke
2021 Frontiers in Medicine  
Nine articles used AI models to predict the epidemic of the COVID-19, such as epidemic peak, infection rate, number of infected cases, transmission laws, and development trend.  ...  This study systematically reviews the application of Artificial Intelligence (AI) techniques in COVID-19, especially for diagnosis, estimation of epidemic trends, prognosis, and exploration of effective  ...  Our systematic review has several limitations that should be noted.  ... 
doi:10.3389/fmed.2021.704256 pmid:34660623 pmcid:PMC8514781 fatcat:gyuebp45czhyrhiq54pnxmx5na

COVID-19 prediction models: a systematic literature review

Sheikh Muzaffar Shakeel, Nithya Sathya Kumar, Pranita Pandurang Madalli, Rashmi Srinivasaiah, Devappa Renuka Swamy
2021 Osong Public Health and Research Perspectives  
This paper aimed to collate information on COVID-19 prediction models. A systematic literature review is reported, based on a manual search of 1,196 papers published from January to December 2020.  ...  The results of this systematic literature review show that the study findings are critically relevant for both healthcare managers and prediction model developers.  ...  The most commonly used techniques used in predictive modeling and analysis were as follows: Machine learning Machine learning is a technique used in which computers evaluate a data set and learn from  ... 
doi:10.24171/j.phrp.2021.0100 pmid:34465071 pmcid:PMC8408413 fatcat:n4k44rgrxzfw5ownf3tkfyc2ye

Computational Models for Diagnosing Tuberculosis: A Systematic Review

Oluwatosin Ogunbodede, Boluwaji Akinnuwesi, Benjamin Aribisala
2017 Journal of Review and Research in Sciences  
Aim: This research focused on systematic review and analysis of computational models for diagnosis of TB with the view to identifying their strengths and weaknesses.  ...  The overall target is to develop a standard and robust computational model with improved diagnostic power.  ...  In this paper, we present a systematic review of the existing computational methods of diagnosing TB.  ... 
doi:10.36108/jrrslasu/7102/40(0120) fatcat:uovzbhwu5jb5hilfddlafbchcm

Applications of Artificial Intelligence in Combating Covid-19: A Systematic Review

Akpofure A. Enughwure, Isaac C. Febaide
2020 OALib  
This research conducted a systematic literature review to unravel the applications of Artificial Intelligence (AI) to tackle the COVID-19 pandemic.  ...  We did not include review papers, as our research is an improvement on previous reviews on COVID-19 and AI.  ...  They carried out a systematic review in line with PRISMA guidelines using Medline(R), EBM Reviews, Embase, Psych Info, and Cochrane Databases, with a focus on human studies that used machine learning to  ... 
doi:10.4236/oalib.1106628 fatcat:ywqqx6vgurbdvibd5bcwt6uewi

The applications of machine learning in plastic and reconstructive surgery: protocol of a systematic review

Angelos Mantelakis, Ankur Khajuria
2020 Systematic Reviews  
Secondary outcomes will include a cost analysis of those models. This protocol has been prepared using the Preferred Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines.  ...  Machine learning, a subset of artificial intelligence, is a set of models and methods that can automatically detect patterns in vast amounts of data, extract information and use it to perform various kinds  ...  Acknowledgements We would like to thank Dr Yannis Assael for his invaluable technical support and guidance in helping us understanding the function and capabilities of deep learning in machine learning  ... 
doi:10.1186/s13643-020-01304-x pmid:32111260 fatcat:4ewpshzikbcrrd6luwe6id33xu

Natural and Artificial Intelligence in Neurosurgery: A Systematic Review

Joeky T Senders, Omar Arnaout, Aditya V Karhade, Hormuzdiyar H Dasenbrock, William B Gormley, Marike L Broekman, Timothy R Smith
2017 Neurosurgery  
BACKGROUND: Machine learning (ML) is a domain of artificial intelligence that allows computer algorithms to learn from experience without being explicitly programmed.  ...  OBJECTIVE: To summarize neurosurgical applications of ML where it has been compared to clinical expertise, here referred to as "natural intelligence. " METHODS: A systematic search was performed in the  ...  To our knowledge, this is the first systematic review comparing the performance of natural intelligence (clinical experts) and artificial intelligence (ML) in neurosurgery, but this review could offer  ... 
doi:10.1093/neuros/nyx384 pmid:28945910 fatcat:a33ttiskpnfglila235uc2vbym

Cybercrime threat intelligence: A systematic multi-vocal literature review

Giuseppe Cascavilla, Damian A. Tamburri, Willem-Jan Van Den Heuvel
2021 Computers & security  
fill this gap with more and more advanced degrees of anonymity to grant protection to LEAs during their investigations. c o m p u t e r s & s e c u r i t y 1 0 5 ( 2 0 2 1 ) 1 0 2 2 5 8 Fig. 1 -Threat intelligence  ...  R E F E R E N C E S Affinito, A., Botta, A., Garofalo, M., Ventre, G., 2018  ...  Background and related work To the best of our knowledge, this is the first systematic literature review providing a taxonomy about the different types and dimensions of cybercrime and threat intelligence  ... 
doi:10.1016/j.cose.2021.102258 fatcat:43fk6zb6k5fx5jtj5a24bu3afi

Artificial Intelligence in the Field of Oral Medicine - A Systematic Review

Kumar Sougata, Ayushi Bhargava, Gaurav .
2021 Acta Scientific Dental Scienecs  
Out of these, articles (studies) were chosen which met the criterion for Systematic Review.  ...  From minimizing harm to the patient to predicting the dental schedule of a teenager, algorithms and softwares are built to do it all.  ...  "Artificial Intelligence in the Field of Oral Medicine -A Systematic Review".  ... 
doi:10.31080/asds.2021.05.1076 fatcat:7qofawxjlncttoh5eesn4e62ga

Image Based Artificial Intelligence in Wound Assessment: A Systematic Review [article]

D. M. Anisuzzaman
2020 arXiv   pre-print
To this end, we have carried out a systematic review of intelligent image-based data analysis and system developments for wound assessment.  ...  We also reviewed recent work on wound assessment systems (including hardware, software, and mobile apps).  ...  These features are then passed as assessment parameters to wound diagnosis models for wound Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review D. M.  ... 
arXiv:2009.07141v1 fatcat:mbe3fopi75cwvao5opyhgquqgq

Machine Learning Applied to Diagnosis of Human Diseases: A Systematic Review

Nuria C. Caballé, José L. Castillo-Sequera, Juan A. Gómez-Pulido, José M. Gómez-Pulido, María L. Polo-Luque
2020 Applied Sciences  
predictions and useful in decision-making.  ...  To this end, we propose a systematic review dealing with the Machine Learning applied to the diagnosis of human diseases.  ...  In this paper, a systematic review of the intelligent data analysis tools in the medical field are provided.  ... 
doi:10.3390/app10155135 fatcat:uy4uncqbjvfx3jnsqmthfvvzaq

A Systematic Review on Automatic Detection of Plasmodium Parasite

Amin Siddiq Sumi, Hanung Adi Nugroho, Rudy Hartanto
2021 International Journal of Engineering and Technology Innovation  
The research uses a systematic literature review (SLR) approach comprising three stages, namely planning, conducting, and reporting.  ...  Overall, the research of Plasmodium parasite detection today has focused on the development with artificial intelligence specifically related to machine and deep learning.  ...  Methodology Systematic literature review (SLR) Today, the review method that employs a systematic literature review has become a stable review standard [14] .  ... 
doi:10.46604/ijeti.2021.6094 fatcat:y3wm6ydwjnhnxpdvq5z43qljva

Social Robots in Hospitals: A Systematic Review

Carina Soledad González-González, Verónica Violant-Holz, Rosa Maria Gil-Iranzo
2021 Applied Sciences  
To this end, a systematic review was conducted using WoS and MEDLINE, and the results were exhaustive analyzed.  ...  Social robots are gaining prominence due to the advantages they offer; in particular, several of their main uses have proven beneficial during the pandemic.  ...  Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11135976 fatcat:tdz637ic6zfexkqnvjb2xz2r7e

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review [article]

Felipe Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali Gupte, May D. Wang
2021 arXiv   pre-print
This systematic review examines the use of Explainable Artificial Intelligence (XAI) during the pandemic and how its use could overcome barriers to real-world success.  ...  We hope this review may serve as a guide to improve the clinical impact of future AI-based solutions.  ...  Benoit Marteau from Bio-MIBLab for his help on reviewing the manuscript. This research was supported by a Wallace H. Coulter Distinguished Faculty Fellowship (M. D.  ... 
arXiv:2112.12705v2 fatcat:pji2saeikbeq7phmygphbomm5e

Deep learning in gastric tissue diseases: a systematic review

Wanderson Gonçalves e Gonçalves, Marcelo Henrique de Paula dos Santos, Fábio Manoel França Lobato, Ândrea Ribeiro-dos-Santos, Gilderlanio Santana de Araújo
2020 BMJ Open Gastroenterology  
Despite the emergence of deep learning research on gastric tissues diseases, few intensive reviews are addressing this topic.MethodWe performed a systematic review related to applications of deep learning  ...  in gastric tissue disease analysis by digital histology, endoscopy and radiology images.ConclusionsThis review highlighted the high potential and shortcomings in deep learning research studies applied  ...  An overview of our systematic review process can be seen in figure 1 .  ... 
doi:10.1136/bmjgast-2019-000371 pmid:32337060 pmcid:PMC7170401 fatcat:tmlxfjmdmrht3aa2yvyotguvuy
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