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              <text>Exploring Sustainable and affordable Cancer Care using Artificial Intelligence</text>
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              <text>Artificial Intelligence; Breast Cancer; Support vector machine</text>
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              <text>Now, in recent decades AI and ML have become a major part in developing and maintaining the healthcare system. Now, by using AI and ML in healthcare, it can provide a massive help for the healthcare workers.AI and ML help the healthcare workers for making better decisions, In some practical areas, it may take the place of human action for making decisions such as radiology, it can help to Gather medical knowledge or information from different journals, textbooks, or clinics which will help in reducing time for study and research. AI and ML help in predicting the early diagnosis of disease based on the patient's data and even help to prevent that dis-ease. Breast cancer is the most frequent category with an estimation of 2, 38,908 by 2025. Breast cancer is followed by lung cancer (1, 11,328); followed by mouth cancer (90,060). These statistics have triggered this research. Breast cancer is found in every one women among eight woman. Sustainable care shall help to fight with the disease. Sustainable care includes affordable cancer care and it's possible through early prediction of cancer. In this research we are using artificial intelligence based techniques for early prediction of cancer. Future direction of work will focus on usage of transfer learning and other models of AI-ML to help the society and mothers of nations to fight against the in-creasing spread of cancers.  The Electrochemical Society</text>
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              <text>Goswami M.; Thakur S.</text>
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              <text>ECS Transactions, Vol-107, No. 1, pp. 14261-14271.</text>
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              <text>Institute of Physics</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1149/10701.14261ecst" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1149/10701.14261ecst&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130524349&amp;amp;doi=10.1149%2F10701.14261ecst&amp;amp;partnerID=40&amp;amp;md5=4d8f4eacc41d9a2ab557265221b08134" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130524349&amp;amp;doi=10.1149%2f10701.14261ecst&amp;amp;partnerID=40&amp;amp;md5=4d8f4eacc41d9a2ab557265221b08134&lt;/a&gt;</text>
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              <text>ISSN: 19386737; ISBN: 978-160768539-5</text>
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              <text>Goswami M., Department CHRIST Deemed to be University, Bangalore, India; Thakur S., Department CHRIST Deemed to be University, Bangalore, India</text>
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