A multi-step approach to managing missing data in time and patient variant electronic health records

[1] Abul-Husn NS(2019)Personalized medicine and the power of electronic health records Cell 177 58-69

[2] Kenny EE(2015)Electronic medical records and quality improvement Neurosurg Clin N Am 26 ix-1495

[3] Carter JT(2016)Electronic health records: then, now, and in the future Yearb Med Inform 39 1481-653

[4] Evans RS(2018)Big data from electronic health records for early and late translational cardiovascular research: challenges and potential Eur Heart J 18 44-208

[5] Hemingway H(2018)Big data analytics in medicine and healthcare J Integr Bioinforma 15 e1002674-654

[6] Asselbergs FW(2018)A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data BMC Med Inform Decis Mak 16 643-232

[7] Danesh J(2018)Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: a retrospective, multicentre machine learning study PLoS Med 24 198-581

[8] Dobson R(2019)Applications of machine learning using electronic medical records in spine surgery Neurospine 6 e11-49

[9] Maniadakis N(2017)Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review J Am Med Inform Assoc 14 284-361

[10] Maggioni A(2018)Characterizing and managing missing structured data in electronic health records: data analysis JMIR Med Inform 10 643-undefined

[1] Abul-Husn NS(2019)Personalized medicine and the power of electronic health records Cell 177 58-69

[2] Kenny EE(2015)Electronic medical records and quality improvement Neurosurg Clin N Am 26 ix-1495

[3] Carter JT(2016)Electronic health records: then, now, and in the future Yearb Med Inform 39 1481-653

[4] Evans RS(2018)Big data from electronic health records for early and late translational cardiovascular research: challenges and potential Eur Heart J 18 44-208

[5] Hemingway H(2018)Big data analytics in medicine and healthcare J Integr Bioinforma 15 e1002674-654

[6] Asselbergs FW(2018)A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data BMC Med Inform Decis Mak 16 643-232

[7] Danesh J(2018)Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: a retrospective, multicentre machine learning study PLoS Med 24 198-581

[8] Dobson R(2019)Applications of machine learning using electronic medical records in spine surgery Neurospine 6 e11-49

[9] Maniadakis N(2017)Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review J Am Med Inform Assoc 14 284-361

[10] Maggioni A(2018)Characterizing and managing missing structured data in electronic health records: data analysis JMIR Med Inform 10 643-undefined