{"id":792,"date":"2020-03-13T17:53:50","date_gmt":"2020-03-13T21:53:50","guid":{"rendered":"http:\/\/sites.nd.edu\/nethealth\/?page_id=792"},"modified":"2021-07-09T11:21:58","modified_gmt":"2021-07-09T15:21:58","slug":"papers-2","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/nethealth\/papers-2\/","title":{"rendered":"Papers"},"content":{"rendered":"

Faust, L., D. Hachen, O. Lizardo, and N. V. Chawla. 2018. \u201cQuantifying Subjective Well-Being Using Trends in Weekend Activity.\u201d In <\/span>2018 IEEE International Conference on Healthcare Informatics (ICHI)<\/span><\/i>, 123\u201329. https:\/\/doi.org\/10.1109\/ICHI.2018.00021.<\/span><\/a><\/p>\n

Faust, Louis, Priscilla Jim\u00e9nez, David Hachen, Omar Lizardo, Aaron Striegel, and Nitesh V. Chawla. 2018. \u201cLong-Term Compliance Habits: What Early Data Tells Us.\u201d In <\/span>A Short Workshop on Next Steps Towards Long Term Self Tracking<\/span><\/i>. <\/span><\/a>http:\/\/arxiv.org\/abs\/1804.04256<\/span><\/a>.<\/span><\/a><\/p>\n

Faust, Louis, Priscilla Jim\u00e9nez-Pazmino, James K. Holland, Omar Lizardo, David Hachen, and Nitesh V. Chawla. 2019. \u201cWhat 30 Days Tells Us About 3 Years: Identifying Early Signs of User Abandonment and Non-Adherence.\u201d In <\/span>Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare<\/span><\/i>, 216\u201324. ACM. https:\/\/dl.acm.org\/citation.cfm?id=3329196.<\/span><\/a><\/p>\n

Faust, Louis, Rachael Purta, David Hachen, Aaron Striegel, Christian Poellabauer, Omar Lizardo, and Nitesh V. Chawla. 2017. \u201cExploring Compliance: Observations from a Large Scale Fitbit Study.\u201d In <\/span>Proceedings of the 2Nd International Workshop on Social Sensing<\/span><\/i>, 55\u201360. SocialSens\u201917. New York, NY, USA: ACM. https:\/\/doi.org\/10.1145\/3055601.3055608.<\/span><\/a><\/p>\n

Faust, Louis, Cheng Wang, David Hachen, Omar Lizardo, and Nitesh V. Chawla. 2019. \u201cPhysical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data.\u201d <\/span>JMIR mHealth and uHealth<\/span><\/i> 7 (3): e11075. https:\/\/doi.org\/10.2196\/11075.<\/span><\/a><\/p>\n

Fridmanski, E., Wood, M.L., Lizardo, O. and Hachen, D., 2020. Clustering in a newly forming social network by subjective perceptions of loneliness. <\/span>Journal of American College Health<\/span><\/i>, pp. 1-6.<\/span><\/a><\/p>\n

Hossain, A., and C. Poellabauer. 2016. \u201cChallenges in Building Continuous Smartphone Sensing Applications.\u201d In <\/span>2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)<\/span><\/i>, 1\u20138. https:\/\/doi.org\/10.1109\/WiMOB.2016.7763202.<\/span><\/a><\/p>\n

Liu, Shikang, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, and Tijana Milenkovi\u0107. 2018. \u201cNetwork Analysis of the NetHealth Data: Exploring Co-Evolution of Individuals\u2019 Social Network Positions and Physical Activities.\u201d <\/span>Applied Network Science<\/span><\/i> 3 (1): 45. https:\/\/doi.org\/10.1007\/s41109-018-0103-2.<\/span><\/a><\/p>\n

\u2014\u2014\u2014. 2020. \u201cThe Power of Dynamic Social Networks to Predict Individuals\u2019 Mental Health.\u201d <\/span>Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing<\/span><\/i> 25: 635\u201346. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/31797634.<\/span><\/a><\/p>\n

Nigam, Aastha, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, and Nitesh V. Chawla. 2019. \u201cONE-M: Modeling the Co-Evolution of Opinions and Network Connections.\u201d In <\/span>Machine Learning and Knowledge Discovery in Databases<\/span><\/i>, 122\u201340. Springer International Publishing. https:\/\/doi.org\/10.1007\/978-3-030-10928-8_8.<\/span><\/a><\/p>\n

Purta, Rachael, Stephen Mattingly, Lixing Song, Omar Lizardo, David Hachen, Christian Poellabauer, and Aaron Striegel. 2016. \u201cExperiences Measuring Sleep and Physical Activity Patterns Across a Large College Cohort with Fitbits.\u201d In <\/span>Proceedings of the 2016 ACM International Symposium on Wearable Computers<\/span><\/i>, 28\u201335. ISWC \u201916. New York, NY, USA: ACM. https:\/\/doi.org\/10.1145\/2971763.2971767.<\/span><\/a><\/p>\n

Sepulvado, Brandon, Michael Wood, Cheng Wang, Ethan Fridmanski, Matthew Chandler, Omar Lizardo, and David Hachen. 2020. \u201cPredicting Homophily and Social Network Connectivity From Dyadic Behavioral Similarity Trajectory Clusters.\u201d Social Science Computer Review<\/i>. https:\/\/doi.org\/10.1177\/0894439320923123<\/a>.<\/p>\n

Vhaduri, S., and C. Poellabauer. 2017. \u201cHierarchical Cooperative Discovery of Personal Places from Location Traces.\u201d <\/span>IEEE Transactions on Mobile Computing<\/span><\/i> PP (99): 1\u20131. https:\/\/doi.org\/10.1109\/TMC.2017.2777838.<\/span><\/a><\/p>\n

\u2014\u2014\u2014. 2018a. \u201cImpact of Different Pre-Sleep Phone Use Patterns on Sleep Quality.\u201d In <\/span>2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)<\/span><\/i>, 94\u201397. https:\/\/doi.org\/10.1109\/BSN.2018.8329667.<\/span><\/a><\/p>\n

\u2014\u2014\u2014. 2018b. \u201cOpportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data.\u201d In <\/span>2018 IEEE International Conference on Healthcare Informatics (ICHI)<\/span><\/i>, 103\u201314. ieeexplore.ieee.org. https:\/\/doi.org\/10.1109\/ICHI.2018.00019.<\/span><\/a><\/p>\n

\u2014\u2014\u2014. 2019. \u201cMulti-Modal Biometric-Based Implicit Authentication of Wearable Device Users.\u201d <\/span>IEEE Transactions on Information Forensics and Security<\/span><\/i> 14 (12): 3116\u201325. https:\/\/doi.org\/10.1109\/TIFS.2019.2911170.<\/span><\/a><\/p>\n

\u2014\u2014\u2014. 2017a. \u201cTowards Reliable Wearable-User Identification.\u201d <\/span>2017 IEEE International Conference on Healthcare Informatics (ICHI)<\/span><\/i>. https:\/\/doi.org\/10.1109\/ichi.2017.17.<\/span><\/a><\/p>\n

\u2014\u2014\u2014. 2017b. \u201cWearable Device User Authentication Using Physiological and Behavioral Metrics.\u201d <\/span>2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)<\/span><\/i>. https:\/\/doi.org\/10.1109\/pimrc.2017.8292272.<\/span><\/a><\/p>\n

Vhaduri, Sudip, Christian Poellabauer, Aaron Striegel, Omar Lizardo, and David Hachen. 2017. \u201cDiscovering Places of Interest Using Sensor Data from Smartphones and Wearables.\u201d <\/span>IEEE UIC<\/span><\/i>, August.<\/span><\/a><\/p>\n

Wang, Cheng, Omar Lizardo, and David S. Hachen. 2020. \u201cNeither Influence nor Selection: Examining Co-Evolution of Political Orientation and Social Networks in the NetSense and NetHealth Studies.\u201d PloS One<\/i> 15 (5):\u00a0 https:\/\/doi.org\/10.1371\/journal.pone.0233458<\/a>.<\/p>\n

Wang, Cheng, Omar Lizardo, and David S. Hachen. 2020. \u201cUsing Fitbit Data to Monitor the Heart Rate Evolution Patterns of College Students.\u201d Journal of American College Health:<\/i>, June, 1\u20138. https:\/\/doi.org\/10.1080\/07448481.2020.1775610<\/a>.<\/p>\n

Faust, Louis, Keith Feldman, Stephen M. Mattingly, David Hachen, and Nitesh V Chawla. 2020. \u201cDeviations from Normal Bedtimes Are Associated with Short-Term Increases in Resting Heart Rate.\u201d NPJ Digital Medicine<\/i> 3 (March): 39. https:\/\/doi.org\/10.1038\/s41746-020-0250-6<\/a>.<\/p>\n

Fridmanski, Ethan, Michael Wood, Omar Lizardo, and David Hachen. 2020. \u201cClustering in a Newly Forming Social Network by Subjective Perceptions of Loneliness.\u201d Journal of American College Health: J of ACH<\/i> 0 (0): 1\u20136. https:\/\/doi.org\/10.1080\/07448481.2020.1806852<\/a>.<\/p>\n

Wang, Cheng, Omar Lizardo, and David S. Hachen. 2021. \u201cUsing Fitbit Data to Examine Factors That Affect Daily Activity Levels of College Students.\u201d PloS One<\/i> 16 (1): e0244747. https:\/\/doi.org\/10.1371\/journal.pone.0244747<\/a>.<\/p>\n

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<\/p>\n","protected":false},"excerpt":{"rendered":"

Faust, L., D. Hachen, O. Lizardo, and N. V. Chawla. 2018. \u201cQuantifying Subjective Well-Being Using Trends in Weekend Activity.\u201d In 2018 IEEE International Conference on Healthcare Informatics (ICHI), 123\u201329. https:\/\/doi.org\/10.1109\/ICHI.2018.00021. Faust, Louis, Priscilla Jim\u00e9nez, David Hachen, Omar Lizardo, Aaron Striegel, and Nitesh V. Chawla. 2018. \u201cLong-Term Compliance Habits: What Early Data Tells Us.\u201d In A … <\/p>\n

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