Applications to HealthCare

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  • Predicting Counselor Behaviors in Motivational Interviewing Encounters.
    by Veronica Perez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh, Lawrence An, Kathy J. Goggin, and Delwyn Catley.
    In Proceedings of the European Association of Computational Linguistics, (EACL) 2017.

  • Building a Motivational Interviewing Dataset.
    by Veronica Perez-Rosas, Rada Mihalcea, Kenneth Resnicow, Lawrence An, and Satinder Singh.
    In Proceedings of the NAACL 2016 Workshop on Clinical Psychology, 2016.

  • Patient-Centerd Pain Care Using Artificial Intelligence and Mobile Health Tools: Protocol for a Randomized Study Funded by the US Department of Veterans Affairs Health Services Research and Development Program.
    by Piette JD, Krein SL, Striplin D, Marinec N, Kerns RD, Farris KB, Singh S, An L, and Heapy AA.
    In JMIR Research Protocols; 5(2) 2016.

  • Confirming the theoretical structure of expert-developed text messages to improve adherence to anti-hypertensive medications.
    by Karen Farris, Teresa Salgado, Peter Batra, John Piette, Satinder Singh, Ahmed Guhad, Sean Newman, Vincent Marshall, and Larry An.
    In Research in Social and Administrative Pharmacy, 2015.

  • Multi-Task Seizure Detection: Addressing Inter-Patient and Intra-Patient Variations in Seizure Morphologies.
    by Alex Van Esbroeck, Landon Smith, Zeeshan Syed, Satinder Singh, and Zahi Karam.
    In Machine Learning, 2015.

  • The Potential Impact of Intelligent Systems for Mobile Health Self-Management Support: Monte-Carlo Simulations of Text Message Support for Medication Adherence.
    by John Piette, Karen Farris, Sean Newman, Larry An, Jeremy Sussman, and Satinder Singh.
    In Annals of Behavioral Medicine, 2014.

  • Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization.
    by Alex Van Esbroeck, Satinder Singh, Ilan Rubinfeld, and Zeeshan Syed.
    In 28th AAAI Conference on Artificial Intelligence (AAAI-14), 2014.

  • Predicting Postoperative Atrial Fibrillation from Independent ECG Components.
    by Chih-Chun Chia, James Blum, Zahi Karam, Satinder Singh, and Zeeshan Syed.
    In 28th AAAI Conference on Artificial Intelligence (AAAI-14), 2014.

  • Ecologically Valid Long-Term Mood Monitoring of Individuals with Bipolar Disorder Using Speech.
    by Zahi Karam, Emily Mower Provost, Satinder Singh, Jennifer Montgomery, Christopher Archer, Gloria Harrington, and Melvin Mcinnis.
    In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.

  • Maximizing the Value of Mobile Health Monitoring by Avoiding Redundant Patient Records: Prediction of Depression-Related Symptoms and Adherence Problems in Automated Health Assessment Services.
    by John Piette, Jeremy Sussman, Paul Pfeiffer, Maria Silveira, Satinder Singh, and Mariel Lavieri.
    In Journal of Medical Internet Research, Vol 15, No. 7, 2013.

  • Adaptive Cognitive Orthotics: Combining Reinforcement Learning and Constraint-Based Temporal Reasoning
    by Matthew Rudary, Satinder Singh and Martha Pollack.
    In Proceedings of the Twenty-First International Conference on Machine Learning (ICML), pages 719-726, 2004.

    Refereed Workshop Papers and Abstracts

  • Testing the Structure of SMS Messages for use in an Artificial Intelligence (AI)-driven SMS Antihypertensive Adherence Support Tool.
    by Karen Farris, Sean Newman, Satinder Singh, Larry An, and John Piette.
    Research Abstract in Wireless Health, 2013.