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(2017b), Secondary Use of Patient Generated Health Data (PGHD), IMIA Yearbook Review
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53. Z. Hu, X. Ma, Z. Liu, E. Hovy, E. Xing, Harnessing deep neural networks with logic rules,
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56. J. Mei, H. Liu, X. Li, G. Xie, Y. Yu, in MedInfo. A decision fusion framework for treatment
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57. D.E. Warburton, C.W. Nicol, S.S. Bredin, Health benefits of physical activity: The evidence.
Can. Med. Assoc. J. 174(6), 801–809 (2006)
58. M.M. Burg, J.E. Schwartz, I.M. Kronish, K.M. Diaz, C. Alcantara, J. Duer-Hefele, K.W.
Davidson, Does stress result in you exercising less? Or does exercising result in you being
less stressed? Or is it both? Testing the bi-directional stress-exercise association at the group
and person (N of 1) level. Ann. Behav. Med. 51(6), 799–809 (2017)
59. W.T. Riley, D.E. Rivera, A.A. Atienza, W. Nilsen, S.M. Allison, R. Mermelstein, Health
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60. J.M. Smyth, S.A. Wonderlich, M.J. Sliwinski, R.D. Crosby, S.G. Engel, J.E. Mitchell, R.M.
Calogero, Ecological momentary assessment of affect, stress, and binge-purge behaviors: Day
of week and time of day effects in the natural environment. Int. J. Eat. Disord. 42(5), 429–436
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61. S. Shiffman, A.A. Stone, M.R. Hufford, Ecological momentary assessment. Annu. Rev. Clin.
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62. K.E. Heron, J.M. Smyth, Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behavior treatments. Br. J. Health Psychol. 15(1), 1–39
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63. Y.K. Cheung, P.-Y.S. Hsueh, M. Qian, S. Yoon, L. Meli, K.M. Diaz, et al., Are nomothetic or
ideographic approaches superior in predicting daily exercise behaviors? Methods Inf. Med.
56(06), 452–460 (2017)
64. R.S. Sutton, A.G. Barto, Reinforcement Learning: An Introduction (MIT press, Cambridge,
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65. S.A. Murphy, M.J. van der Laan, J.M. Robins, et al., Marginal mean models for dynamic
regimes. J. Am. Stat. Assoc. 96(456), 1410–1423 (2001)
66. M. Zhang, D.E. Schaubel, Double-robust semiparametric estimator for differences in
restricted mean lifetimes in observational studies. Biometrics 68(4), 999–1009 (2012)
67. Y. Zhao, D. Zeng, A.J. Rush, M.R. Kosorok, Estimating individualized treatment rules using
outcome weighted learning. J. Am. Stat. Assoc. 107(499), 1106–1118 (2012)
68. X. Hu, P.-Y. Hsueh, C.-H. Chen, K.M. Diaz, F.E. Parsons, I. Ensari, et al., An interpretable
health behavioral intervention policy for mobile device users. IBM J. Res. Dev. 62(1), 4–1
(2018)
69. X. Hu, P.-Y.S. Hsueh, C.-H. Chen, K.M. Diaz, Y.-K.K. Cheung, M. Qian, in AMIA Annual
Symposium Proceedings. A first step towards behavioral coaching for managing stress: A case
study on optimal policy estimation with multi-stage threshold Q-learning. (American Medical
Informatics Association, 2017), p. 930
P.-Y. S. Hsueh et al.
51. P.S. Hsueh, H. Chang, S. Ramakrishnan, Next-generation wellness: A technology model for
personalizing healthcare, in Healthcare Information Management, 4th edn., (Springer, Cham,
2016)
52. P.S. Hsueh, F. Martin-Sanchez, K. Kim, S. Peterson, S. Dey, B. Yang, Y-K. Cheung, T. Wetter
(2017b), Secondary Use of Patient Generated Health Data (PGHD), IMIA Yearbook Review
2017
53. Z. Hu, X. Ma, Z. Liu, E. Hovy, E. Xing, Harnessing deep neural networks with logic rules,
in Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics
(Volume 1: Long Papers), (2016), pp. 2410–2420. https://doi.org/10.18653/v1/P16-1228
54. D. Andrzejewski, X. Zhu, M. Craven, B. Recht, in IJCAI. A framework for incorporating
general domain knowledge into Latent Dirichlet Allocation using first-order logic. (2011a),
pp. 1171–1177
55. D. Andrzejewski, X. Zhu, M. Craven, B. Recht, A framework for incorporating general
domain knowledge into Latent Dirichlet Allocation using first-order logic. IJCAI 2011, 1171–
1177 (2011b)
56. J. Mei, H. Liu, X. Li, G. Xie, Y. Yu, in MedInfo. A decision fusion framework for treatment
recommendation system. (2015), pp. 300–304
57. D.E. Warburton, C.W. Nicol, S.S. Bredin, Health benefits of physical activity: The evidence.
Can. Med. Assoc. J. 174(6), 801–809 (2006)
58. M.M. Burg, J.E. Schwartz, I.M. Kronish, K.M. Diaz, C. Alcantara, J. Duer-Hefele, K.W.
Davidson, Does stress result in you exercising less? Or does exercising result in you being
less stressed? Or is it both? Testing the bi-directional stress-exercise association at the group
and person (N of 1) level. Ann. Behav. Med. 51(6), 799–809 (2017)
59. W.T. Riley, D.E. Rivera, A.A. Atienza, W. Nilsen, S.M. Allison, R. Mermelstein, Health
behavior models in the age of mobile interventions: Are our theories up to the task? Transl.
Behav. Med. 1(1), 53–71 (2011)
60. J.M. Smyth, S.A. Wonderlich, M.J. Sliwinski, R.D. Crosby, S.G. Engel, J.E. Mitchell, R.M.
Calogero, Ecological momentary assessment of affect, stress, and binge-purge behaviors: Day
of week and time of day effects in the natural environment. Int. J. Eat. Disord. 42(5), 429–436
(2009)
61. S. Shiffman, A.A. Stone, M.R. Hufford, Ecological momentary assessment. Annu. Rev. Clin.
Psychol. 4, 1–32 (2008)
62. K.E. Heron, J.M. Smyth, Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behavior treatments. Br. J. Health Psychol. 15(1), 1–39
(2010)
63. Y.K. Cheung, P.-Y.S. Hsueh, M. Qian, S. Yoon, L. Meli, K.M. Diaz, et al., Are nomothetic or
ideographic approaches superior in predicting daily exercise behaviors? Methods Inf. Med.
56(06), 452–460 (2017)
64. R.S. Sutton, A.G. Barto, Reinforcement Learning: An Introduction (MIT press, Cambridge,
2018)
65. S.A. Murphy, M.J. van der Laan, J.M. Robins, et al., Marginal mean models for dynamic
regimes. J. Am. Stat. Assoc. 96(456), 1410–1423 (2001)
66. M. Zhang, D.E. Schaubel, Double-robust semiparametric estimator for differences in
restricted mean lifetimes in observational studies. Biometrics 68(4), 999–1009 (2012)
67. Y. Zhao, D. Zeng, A.J. Rush, M.R. Kosorok, Estimating individualized treatment rules using
outcome weighted learning. J. Am. Stat. Assoc. 107(499), 1106–1118 (2012)
68. X. Hu, P.-Y. Hsueh, C.-H. Chen, K.M. Diaz, F.E. Parsons, I. Ensari, et al., An interpretable
health behavioral intervention policy for mobile device users. IBM J. Res. Dev. 62(1), 4–1
(2018)
69. X. Hu, P.-Y.S. Hsueh, C.-H. Chen, K.M. Diaz, Y.-K.K. Cheung, M. Qian, in AMIA Annual
Symposium Proceedings. A first step towards behavioral coaching for managing stress: A case
study on optimal policy estimation with multi-stage threshold Q-learning. (American Medical
Informatics Association, 2017), p. 930