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              <text>Mental Health Data Analysis Using Cloud</text>
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              <text>data analysis; mental health; mental health records; privacy; security</text>
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              <text>In health care related research studies, there exists a need for retrieving patient's health record from multiple sites. So here comes the digitization of health records, which leads to a wide range of access to various users such as doctors, patients, psychiatrists and pharmacists. The sensitive nature of individual health care data pose a threat to security. Moreover, the increased access of health information by the users threatens the privacy and confidentiality of the stored data. Notwithstanding the existing privacy protection approaches used for mental health records, we suggest a privacy preserving data analysis methodology enabling protection of health records, once user access to records are granted. This paper mainly focuses on utilizing the data analysis approach in preserving privacy of personal health records to overcome the drawbacks of existing approaches.  2020 IEEE.</text>
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              <text>Paul A.; George J.</text>
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              <text>2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICECCE49384.2020.9179289" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICECCE49384.2020.9179289&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISBN: 978-172817116-6</text>
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              <text>Paul A., CHRIST (Deemed to Be University), India; George J., CHRIST (Deemed to Be University), India</text>
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