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Machine Learning in Healthcare: Breast Cancer and Diabetes Cases
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-4390-411x
2021 (English)In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH , 2021, Vol. 12585, p. 125-135Conference paper, Published paper (Refereed)
Abstract [en]

This paper provides insights into a workflow of different applications of machine learning coupled with image analysis in the healthcare sector which we have undertaken. As case studies, we use personalized breast cancer screenings and diabetes research (i.e., Beta-cell mass quantification in mice and diabetic retinopathy analysis). Our tools play a pivotal role in evidence-based process for personalized medicine and/or in monitoring the progression of diabetes as a chronic disease to help for better understanding of its development and the way to combat it. Although this multidisciplinary collaboration provides only succinct description of these research nodes, relevant references are furnished for further details. © 2021, Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2021. Vol. 12585, p. 125-135
Series
Lecture Notes in Computer Science, ISSN 03029743, E-ISSN 16113349 ; 12585
Keywords [en]
Applied machine learning, Breast cancer, Diabetes, Medical image analysis, Data visualization, Diseases, Eye protection, Health care, Mammals, Visualization, Breast cancer screening, Chronic disease, Diabetes research, Diabetic retinopathy, Evidence-based, Healthcare sectors, Multi-disciplinary collaborations, Machine learning
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-21298DOI: 10.1007/978-3-030-68007-7_8Scopus ID: 2-s2.0-85102617923ISBN: 9783030680060 (print)OAI: oai:DiVA.org:bth-21298DiVA, id: diva2:1540158
Conference
AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020 and 2nd Italian Workshop on Visualization and Visual Analytics, ITAVIS 2020, Ischia; Italy, 29 September 2020 through 29 September 2020
Part of project
Bigdata@BTH- Scalable resource-efficient systems for big data analytics, Knowledge FoundationAvailable from: 2021-03-26 Created: 2021-03-26 Last updated: 2022-05-06Bibliographically approved

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Cheddad, Abbas

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