References and further reading

Basole RC, Braunstein ML, Kumar V, Park H, Kahng M, Chau DH, Tamersoy A, Hirsh DA, Serban N, BostJ, Lesnick B, Schissel BL, Thompson M (2015). Understanding variations in pediatric asthma care processes in the emergency department using visual analytics. Journal of the American Medical Informatics Association 22(2): 318–323, https://doi.org/10.1093/jamia/ocu016.

Donze J, Aujesky D, Williams D, Schnipper JL (2013). Potentially avoidable 30-day hospital readmissions in medical patients: derivation and validation of a prediction model. JAMA Intern Med 173(8): 632-638.

Elmasri R, Navathe S (2010). Fundamentals of Database Systems, 6th Edition. Boston, MA: Addison Wesley.

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

Kasper DL, Braunwald E, Fauci AS, Hauser SL, Longo DL, Jameson JL (2005), eds. Harrison's Principles of Internal Medicine, 16e. New York, NY: McGraw-Hill.

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.

Sahni N, Simon G, Arora R (2018). J Gen Intern Med 33: 921. https://doi.org/10.1007/s11606-018-4316-y

SQLite Home Page. http://www.sqlite.org/. Accessed 04/03/2017.