Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work...最新文献
Celia Le, Romain Deleat-Besson, Najla Al Turkestani, Lucia Cevidanes, Jonas Bianchi, Winston Zhang, Marcela Gurgel, Hina Shah, Juan Prieto, Tengfei Li
{"title":"TMJOAI: An Artificial Web-Based Intelligence Tool for Early Diagnosis of the Temporomandibular Joint Osteoarthritis.","authors":"Celia Le, Romain Deleat-Besson, Najla Al Turkestani, Lucia Cevidanes, Jonas Bianchi, Winston Zhang, Marcela Gurgel, Hina Shah, Juan Prieto, Tengfei Li","doi":"10.1007/978-3-030-90874-4_8","DOIUrl":"10.1007/978-3-030-90874-4_8","url":null,"abstract":"<p><p>Osteoarthritis is a chronic disease that affects the temporomandibular joint (TMJ), causing chronic pain and disability. To diagnose patients suffering from this disease before advanced degradation of the bone, we developed a diagnostic tool called TMJOAI. This machine learning based algorithm is capable of classifying the health status TMJ in of patients using 52 clinical, biological and jaw condyle radiomic markers. The TMJOAI includes three parts. the feature preparation, selection and model evaluation. Feature generation includes the choice of radiomic features (condylar trabecular bone or mandibular fossa), the histogram matching of the images prior to the extraction of the radiomic markers, the generation of feature pairwise interaction, etc.; the feature selection are based on the p-values or AUCs of single features using the training data; the model evaluation compares multiple machine learning algorithms (e.g. regression-based, tree-based and boosting algorithms) from 10 times 5-fold cross validation. The best performance was achieved with averaging the predictions of XGBoost and LightGBM models; and the inclusion of 32 additional markers from the mandibular fossa of the joint improved the AUC prediction performance from 0.83 to 0.88. After cross-validation and testing, the tools presented here have been deployed on an open-source, web-based system, making it accessible to clinicians. TMJOAI allows users to add data and automatically train and update the machine learning models, and therefore improve their performance.</p>","PeriodicalId":93532,"journal":{"name":"Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012403/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90853910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. B. Awotunde, R. Jimoh, I. D. Oladipo, M. Abdulraheem, Taibat Bolanle Jimoh, G. J. Ajamu
{"title":"Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management","authors":"J. B. Awotunde, R. Jimoh, I. D. Oladipo, M. Abdulraheem, Taibat Bolanle Jimoh, G. J. Ajamu","doi":"10.1007/978-3-030-69744-0_2","DOIUrl":"https://doi.org/10.1007/978-3-030-69744-0_2","url":null,"abstract":"","PeriodicalId":93532,"journal":{"name":"Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73660983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
O. Imrani, Monsif Ben Messaoud Layti, S. Bourekkadi, A. Boulaksili, Issam Kabbassi
{"title":"Optimization of the International Trade Activities in the Period of COVID-19 by Proposing an Algorithm","authors":"O. Imrani, Monsif Ben Messaoud Layti, S. Bourekkadi, A. Boulaksili, Issam Kabbassi","doi":"10.1007/978-3-030-69744-0_11","DOIUrl":"https://doi.org/10.1007/978-3-030-69744-0_11","url":null,"abstract":"","PeriodicalId":93532,"journal":{"name":"Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75127089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saad Chakkor, Mostafa Baghouri, A. Oualkadi, Jalil Abdelkader el Hangouche, Jawhar Laamech, Rachid Belfkih
{"title":"Intelligent Monitoring System to Aid in the Proactive and Early Detection of People Infected by COVID-19","authors":"Saad Chakkor, Mostafa Baghouri, A. Oualkadi, Jalil Abdelkader el Hangouche, Jawhar Laamech, Rachid Belfkih","doi":"10.1007/978-3-030-69744-0_22","DOIUrl":"https://doi.org/10.1007/978-3-030-69744-0_22","url":null,"abstract":"","PeriodicalId":93532,"journal":{"name":"Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79679133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation of the Relation Between the Number of COVID-19 Death Cases as a Result of the Number of Handwashing Facilities by Using Artificial Intelligence","authors":"S. Norozpour","doi":"10.1007/978-3-030-69744-0_1","DOIUrl":"https://doi.org/10.1007/978-3-030-69744-0_1","url":null,"abstract":"","PeriodicalId":93532,"journal":{"name":"Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91495357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Internet of Things and Covid-19 Safety Precautions: Roles of Information Communication Technology in Health Emergency Control for Global Development","authors":"H. Abdullahi, A. Odeniyi, Sarafadeen Tunde Ganiyu","doi":"10.1007/978-3-030-69744-0_19","DOIUrl":"https://doi.org/10.1007/978-3-030-69744-0_19","url":null,"abstract":"","PeriodicalId":93532,"journal":{"name":"Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84900419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding Role of Information and Communication Technology Application in Vietnam’s Prevention and Control of COVID-19 Pandemic","authors":"Nguyen Le Thy Thuong, Thuy T. Dang, T. Diem","doi":"10.1007/978-3-030-69744-0_7","DOIUrl":"https://doi.org/10.1007/978-3-030-69744-0_7","url":null,"abstract":"","PeriodicalId":93532,"journal":{"name":"Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82520416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robotics and Automation: The Rescuers of COVID Era","authors":"A. Chauhan","doi":"10.1007/978-3-030-69744-0_8","DOIUrl":"https://doi.org/10.1007/978-3-030-69744-0_8","url":null,"abstract":"","PeriodicalId":93532,"journal":{"name":"Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84017144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}