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              <text>Recommendation Framework for Diet and Exercise Based on Clinical Data: A Systematic Review</text>
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          <name>Subject</name>
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              <text>Diet and exercise recommendation frameworks; Food; Health care; Nutrition</text>
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              <text>Nowadays, diet and exercise recommender frameworks have gaining expanding consideration because of their importance for living healthy lifestyle. Due of the expanded utilization of the web, people obtain the applicable wellbeing data with respect to their medicinal problem and available medications. Since diseases have a strong relationship with food and exercise, it is especially essential for the patients to focus on adopting good food habits and normal exercise routine. Most existing systems on the diet concentrate on proposals that recommend legitimate food items by considering their food choices or medical issues. These frameworks provide functionalities to monitor nutritional requirement and additionally suggest the clients to change their eating conduct in an interactive way. We present a review of diet and physical activity recommendation frameworks for people suffering from specific diseases in this paper. We demonstrate the advancement made towards recommendation frameworks helping clients to find customized, complex medical facilities or make them available some preventive services measures. We recognize few challenges for diet and exercise recommendation frameworks which are required to be addressed in sensitive areas like health care.  2019, Springer Nature Singapore Pte Ltd.</text>
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          <name>Creator</name>
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              <text>Vairale V.S.; Shukla S.</text>
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              <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-16, pp. 333-346.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2019-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-10-7641-1_29" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-10-7641-1_29&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083322829&amp;amp;doi=10.1007%2F978-981-10-7641-1_29&amp;amp;partnerID=40&amp;amp;md5=64866c3753269ff38dea913b4c9fc22b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083322829&amp;amp;doi=10.1007%2f978-981-10-7641-1_29&amp;amp;partnerID=40&amp;amp;md5=64866c3753269ff38dea913b4c9fc22b&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 23674512</text>
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              <text>Online</text>
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              <text>Vairale V.S., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Shukla S., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India</text>
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