References and further reading

Brathwaite SR, Giraud-Carrier C, West J, Barnes MD, Hanson CL (2016). Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality. JMIR Ment Health 3(2): e21.

Charles-Smith LE, Reynolds TL, Cameron MA, Conway M, Lau EHY, Olsen JM, Pavlin JA, Shigematsu M, Streichert LC, Suda KJ, Corley CD (2015). Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review. PLoS ONE 10(10): e0139701.

Dimitrov DV (2016). Medical Internet of Things and Big Data in Healthcare. Healthcare Inform Res 22(3): 156-163.

Futoma J, Morris J, Lucas J (2015). A comparison of models for predicting early hospital readmissions. J Biomedical Informatics 56: 229-238.

Goodfellow I, Bengio Y, Courville A (2016). Deep Learning. Boston, MA: MIT Press.

Liu Y, Gaepalli K, Norouzi M, Dahl GE, Kohlberger T, Boyko A, Venugopalan S, Timofeev A, Nelson PQ, Corrado GS, Hipp JD, Peng L, Stumpe MC (2017). Detecting Cancer Metastases on Gigapixel Pathology Images. arXiv:1703.02442 [cs.CV]

Ma J, Nguyen H, Mirza F, Neuland O (2017). Two Way Architecture Between IoT Sensors and Cloud Computing for Remote Health Care Monitoring Applications. In Proceedings of the 25th European Conference on Information systems (ECIS), Guimaraes, Portugal, June 5-10, 2017 (pp. 2834-2841). Research-in-Progress Papers.

Paul MJ, Dredze M, Broniatowski D (2014). Twitter Improves Influenza Forecasting. PLoS Curr October 28; 6. PubMed PMID: 25642377.

Rajkomar A, Oren E, Chen K, Dai AM, Hajaj N, Hardt M, et al. (2018). Scalable and accurate deep learning with electronic health records. npj Digital Medicine 1:18; doi:10.1038/s41746-018-0029-1.

Suh M, Chen C, Woodbridge J, Tu MK, Kim JI, Nahapetian A, Evangelista LS, Sarrafzadeh M (2011). A Remote Patient Monitoring System for Congestive Heart Failure. J Med Syst 35(5): 1165-1179.

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