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. Question Answering for Suicide Risk Assessment using Reddit. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019. 
(553.39 KB)
(553.39 KB). Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014. (297.46 KB)
(297.46 KB). What Information about Cardiovascular Diseases do People Search Online?. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014. (121.33 KB)
(121.33 KB). Question Answering for Suicide Risk Assessment using Reddit. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019. (553.39 KB)
(553.39 KB). Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. In The Web Conference 2019. San Francisco, CA, USA: Association for Computing Machinery; 2019. (1.45 MB)
(1.45 MB). Question Answering for Suicide Risk Assessment using Reddit. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019. (553.39 KB)
(553.39 KB). Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017. (438.42 KB)
(438.42 KB). Empowering Personalized Medicine with Big Data and Semantic Web Technology: Promises, Challenges, and Use Cases. 2014 IEEE International Conference on Big Data. Washington, D.C.: IEEE; 2014. p. 790-795. (1.72 MB)
(1.72 MB). Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017. (438.42 KB)
(438.42 KB). Empowering Personalized Medicine with Big Data and Semantic Web Technology: Promises, Challenges, and Use Cases. 2014 IEEE International Conference on Big Data. Washington, D.C.: IEEE; 2014. p. 790-795. (1.72 MB)
(1.72 MB). Question Answering for Suicide Risk Assessment using Reddit. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019. (553.39 KB)
(553.39 KB). Question Answering for Suicide Risk Assessment using Reddit. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019. (553.39 KB)
(553.39 KB). Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal. AMIA Annual Symposium 2014. Washington, D.C.: American Medical Informatics Association; 2014. p. 739-748. (373.5 KB)
(373.5 KB). Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research. 2014 ;16(7).
. An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases. In AMIA Annual Symposium 2014. Washington, D.C.; 2014. (78.67 KB)
(78.67 KB). What Information about Cardiovascular Diseases do People Search Online?. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014. (121.33 KB)
(121.33 KB). Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014. (297.46 KB)
(297.46 KB). Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal. AMIA Annual Symposium 2014. Washington, D.C.: American Medical Informatics Association; 2014. p. 739-748. (373.5 KB)
(373.5 KB). "Let Me Tell You About Your Mental Health!" Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. In The 27th ACM International Conference on Information and Knowledge Management (CIKM’18). Torino, Italy: Association for Computing Machinery; 2018. (335.44 KB)
(335.44 KB). Question Answering for Suicide Risk Assessment using Reddit. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019. (553.39 KB)
(553.39 KB). Evaluating the Process of Online Health Information Searching: A Qualitative Approach to Exploring Consumer Perspectives. Journal of Medical Internet Research. 2014 ;16(10).
. Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings. JAMIA Open. 2018 ;:1-13. (550.45 KB)
(550.45 KB). Empowering Personalized Medicine with Big Data and Semantic Web Technology: Promises, Challenges, and Use Cases. 2014 IEEE International Conference on Big Data. Washington, D.C.: IEEE; 2014. p. 790-795. (1.72 MB)
(1.72 MB). Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics. In: . Digital Healthcare Empowering Europeans: Proceedings of MIE 2015. IOS Press; 2015. p. 369-373. (910.69 KB)
(910.69 KB). Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings. JAMIA Open. 2018 ;:1-13. (550.45 KB)
(550.45 KB). An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases. In AMIA Annual Symposium 2014. Washington, D.C.; 2014. (78.67 KB)
(78.67 KB). Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal. AMIA Annual Symposium 2014. Washington, D.C.: American Medical Informatics Association; 2014. p. 739-748. (373.5 KB)
(373.5 KB). Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research. 2014 ;16(7).
. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017. (438.42 KB)
(438.42 KB). Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research. 2014 ;16(7).
. Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research. 2014 ;16(7).
. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017. (438.42 KB)
(438.42 KB). Evaluating the Process of Online Health Information Searching: A Qualitative Approach to Exploring Consumer Perspectives. Journal of Medical Internet Research. 2014 ;16(10).
. Evaluating the Process of Online Health Information Searching: A Qualitative Approach to Exploring Consumer Perspectives. Journal of Medical Internet Research. 2014 ;16(10).
. Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics. In: . Digital Healthcare Empowering Europeans: Proceedings of MIE 2015. IOS Press; 2015. p. 369-373. (910.69 KB)
(910.69 KB). An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases. In AMIA Annual Symposium 2014. Washington, D.C.; 2014. (78.67 KB)
(78.67 KB). Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal. AMIA Annual Symposium 2014. Washington, D.C.: American Medical Informatics Association; 2014. p. 739-748. (373.5 KB)
(373.5 KB). Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research. 2014 ;16(7).
. An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases. In AMIA Annual Symposium 2014. Washington, D.C.; 2014. (78.67 KB)
(78.67 KB). Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal. AMIA Annual Symposium 2014. Washington, D.C.: American Medical Informatics Association; 2014. p. 739-748. (373.5 KB)
(373.5 KB). Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research. 2014 ;16(7).
. Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014. (297.46 KB)
(297.46 KB). What Information about Cardiovascular Diseases do People Search Online?. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014. (121.33 KB)
(121.33 KB). An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases. In AMIA Annual Symposium 2014. Washington, D.C.; 2014. (78.67 KB)
(78.67 KB). Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal. AMIA Annual Symposium 2014. Washington, D.C.: American Medical Informatics Association; 2014. p. 739-748. (373.5 KB)
(373.5 KB). Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research. 2014 ;16(7).
. Empowering Personalized Medicine with Big Data and Semantic Web Technology: Promises, Challenges, and Use Cases. 2014 IEEE International Conference on Big Data. Washington, D.C.: IEEE; 2014. p. 790-795. (1.72 MB)
(1.72 MB). Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics. In: . Digital Healthcare Empowering Europeans: Proceedings of MIE 2015. IOS Press; 2015. p. 369-373. (910.69 KB)
(910.69 KB). Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings. JAMIA Open. 2018 ;:1-13. (550.45 KB)
(550.45 KB). An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases. In AMIA Annual Symposium 2014. Washington, D.C.; 2014. (78.67 KB)
(78.67 KB)