Pub Date : 2023-01-01DOI: 10.5220/0011926700003414
Asim Abbas, S. Mbouadeu, Tahir Hameed, S. Bukhari
{"title":"Personalized Semantic Annotation Recommendations on Biomedical Content Through an Expanded Socio-Technical Approach","authors":"Asim Abbas, S. Mbouadeu, Tahir Hameed, S. Bukhari","doi":"10.5220/0011926700003414","DOIUrl":"https://doi.org/10.5220/0011926700003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"138 1","pages":"638-648"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88442138","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":"Effectiveness of Reflexology for Premenstrual Syndrome (PMS) and Other Health Difficulties Specific to Women","authors":"Ayame Inoue, Yukie Majima, Seiko Masuda, Takeshi Matsuda","doi":"10.5220/0011774600003414","DOIUrl":"https://doi.org/10.5220/0011774600003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"2010 1","pages":"502-506"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86314629","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}
Pub Date : 2023-01-01DOI: 10.5220/0011660500003414
Rashmi Burse, M. Bertolotto, G. Mcardle
{"title":"Facilitating SNOMED-CT Template Creation by Targeting Stopwords","authors":"Rashmi Burse, M. Bertolotto, G. Mcardle","doi":"10.5220/0011660500003414","DOIUrl":"https://doi.org/10.5220/0011660500003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"14 1","pages":"279-286"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79191095","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}
Pub Date : 2023-01-01DOI: 10.5220/0011926000003414
Monira Mahmoud, Mohamed Bader, J. McNicholas
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{"title":"Short-Term and Long-Term Readmission Prediction in Uncontrolled Diabetic Patients using Machine Learning Techniques","authors":"Monira Mahmoud, Mohamed Bader, J. McNicholas","doi":"10.5220/0011926000003414","DOIUrl":"https://doi.org/10.5220/0011926000003414","url":null,"abstract":".","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"15 1","pages":"680-688"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76946243","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}
Pub Date : 2023-01-01DOI: 10.5220/0011665100003414
A. Stell, Vedant Chauhan, Sandra Amador, F. Beuschlein, J. Favier, David Gil, Philip Greenwood, Ronald de Krijger, M. Kroiss, S. Ortuno, A. Patócs, A. Walch
{"title":"Novel Distributed Informatics Platform to Support Machine Learning Discovery of Metabolic Biomarkers in Hypoxia Predisposition","authors":"A. Stell, Vedant Chauhan, Sandra Amador, F. Beuschlein, J. Favier, David Gil, Philip Greenwood, Ronald de Krijger, M. Kroiss, S. Ortuno, A. Patócs, A. Walch","doi":"10.5220/0011665100003414","DOIUrl":"https://doi.org/10.5220/0011665100003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"293 1","pages":"105-116"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75418643","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}
Pub Date : 2023-01-01DOI: 10.5220/0011685100003414
S. Loss, Lucas Cardoso, N. Cacho, Frederico Lopes
: Pharmaceutical manufacturing in Brazil requires that its processes are carried out by following rules defined by a supervisory body: the National Health Surveillance Agency (ANVISA, in Portuguese). ANVISA requires that all pharmaceutical systems guarantee all product information’s integrity, security, and traceability. These rules ensure that the manufactured products do not pose a risk to their consumers. One of the difficulties for pharmaceutical industries is to provide evidence that production procedures were carried out under internal regulations based on these rules. One way to do this is by using an audit trail. It can store this information automatically using a computer system to record all actions. However, only using audit trails does not guarantee data security; ensuring that all information is immutable is necessary. Therefore, in this paper, we propose an audit trail blockchain-based microservice. This technology stores all transactions in linked and encrypted blocks to avoid illegal modifications. It also guarantees data immutability, security, and traceability. In addition, we present a case study to evaluate the proposed approach using Nuplam’s (Nucleus for Research in Food and Medicines) Integrated Management Systems. A stress test was performed in this case study to evaluate the applicability of the proposed solution in pharmaceutical systems.
{"title":"Pharmaceutical Audit Trail Blockchain-Based Microservice","authors":"S. Loss, Lucas Cardoso, N. Cacho, Frederico Lopes","doi":"10.5220/0011685100003414","DOIUrl":"https://doi.org/10.5220/0011685100003414","url":null,"abstract":": Pharmaceutical manufacturing in Brazil requires that its processes are carried out by following rules defined by a supervisory body: the National Health Surveillance Agency (ANVISA, in Portuguese). ANVISA requires that all pharmaceutical systems guarantee all product information’s integrity, security, and traceability. These rules ensure that the manufactured products do not pose a risk to their consumers. One of the difficulties for pharmaceutical industries is to provide evidence that production procedures were carried out under internal regulations based on these rules. One way to do this is by using an audit trail. It can store this information automatically using a computer system to record all actions. However, only using audit trails does not guarantee data security; ensuring that all information is immutable is necessary. Therefore, in this paper, we propose an audit trail blockchain-based microservice. This technology stores all transactions in linked and encrypted blocks to avoid illegal modifications. It also guarantees data immutability, security, and traceability. In addition, we present a case study to evaluate the proposed approach using Nuplam’s (Nucleus for Research in Food and Medicines) Integrated Management Systems. A stress test was performed in this case study to evaluate the applicability of the proposed solution in pharmaceutical systems.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"93 1","pages":"368-375"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73794818","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}
Pub Date : 2023-01-01DOI: 10.5220/0011698100003414
B. Chevallier, D. Istrate, V. Zalc, N. Vera, Ch. Labrousse
{"title":"Physiological Data Recording in VR Simulator for Sleepiness Detection During Driving","authors":"B. Chevallier, D. Istrate, V. Zalc, N. Vera, Ch. Labrousse","doi":"10.5220/0011698100003414","DOIUrl":"https://doi.org/10.5220/0011698100003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"20 1","pages":"408-415"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80683766","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}
Pub Date : 2023-01-01DOI: 10.5220/0011679100003414
Finn Siegel, C. Buj, R. Schwanbeck, A. Petersik, U. Hoffmann, J. Kemper, F. Hildebrand, Philipp Kobbe, J. Eschweiler, J. Greven, R. Merfort, Christian Freimann, A. Schwaiger, F. M. Aschwege
.
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{"title":"Concept for General Improvements in the Treatment of Femoral Shaft Fractures with an Intramedullary Nail","authors":"Finn Siegel, C. Buj, R. Schwanbeck, A. Petersik, U. Hoffmann, J. Kemper, F. Hildebrand, Philipp Kobbe, J. Eschweiler, J. Greven, R. Merfort, Christian Freimann, A. Schwaiger, F. M. Aschwege","doi":"10.5220/0011679100003414","DOIUrl":"https://doi.org/10.5220/0011679100003414","url":null,"abstract":".","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"47 1","pages":"360-367"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80691151","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}
Pub Date : 2023-01-01DOI: 10.5220/0011637500003414
D. Schmidt, Jonas Chromik, B. Arnrich
{"title":"Recommender System for Alarm Thresholds in Medical Patient Monitors","authors":"D. Schmidt, Jonas Chromik, B. Arnrich","doi":"10.5220/0011637500003414","DOIUrl":"https://doi.org/10.5220/0011637500003414","url":null,"abstract":"","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"3 1","pages":"74-85"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86622765","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}
Pub Date : 2023-01-01DOI: 10.5220/0011634300003414
Theo Rummer-Downing, Julie Weeds
: This work compares the performance of several information retrieval (IR) models in the search for relevant mental health documents based on relevance to forum post queries from a fully-moderated online mental health service. Three different architectures are assessed: a sparse lexical model, BM25, is used as a base-line, alongside two neural SBERT-based architectures - the bi-encoder and the cross-encoder. We highlight the credibility of using pretrained language models (PLMs) out-of-the-box, without an additional fine-tuning stage, to achieve high retrieval quality across a limited set of resources. Error analysis of the ranking results suggested PLMs make errors on documents which contain so called red-herrings - words which are semantically related but irrelevant to the query - whereas human judgements were found to suffer when queries are vague and present no clear information need. Further, we show that bias towards an author’s writing style within a PLM affects retrieval quality and, therefore, can impact on the success of mental health support if left unaddressed.
{"title":"Leveraging Out-of-the-Box Retrieval Models to Improve Mental Health Support","authors":"Theo Rummer-Downing, Julie Weeds","doi":"10.5220/0011634300003414","DOIUrl":"https://doi.org/10.5220/0011634300003414","url":null,"abstract":": This work compares the performance of several information retrieval (IR) models in the search for relevant mental health documents based on relevance to forum post queries from a fully-moderated online mental health service. Three different architectures are assessed: a sparse lexical model, BM25, is used as a base-line, alongside two neural SBERT-based architectures - the bi-encoder and the cross-encoder. We highlight the credibility of using pretrained language models (PLMs) out-of-the-box, without an additional fine-tuning stage, to achieve high retrieval quality across a limited set of resources. Error analysis of the ranking results suggested PLMs make errors on documents which contain so called red-herrings - words which are semantically related but irrelevant to the query - whereas human judgements were found to suffer when queries are vague and present no clear information need. Further, we show that bias towards an author’s writing style within a PLM affects retrieval quality and, therefore, can impact on the success of mental health support if left unaddressed.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"17 1","pages":"64-73"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86004885","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}
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