Disease progression subtype discovery from longitudinal EMR data with a majority of missing values and unknown initial time points

Ilkka Huopaniemi, Girish Nadkarni, Rajiv Nadukuru, Vaneet Lotay, Stephen B. Ellis, Omri Gottesman, Erwin P. Bottinger. Disease progression subtype discovery from longitudinal EMR data with a majority of missing values and unknown initial time points. In AMIA 2014, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 15-19, 2014. AMIA, 2014. [doi]

@inproceedings{HuopaniemiNNLEG14,
  title = {Disease progression subtype discovery from longitudinal EMR data with a majority of missing values and unknown initial time points},
  author = {Ilkka Huopaniemi and Girish Nadkarni and Rajiv Nadukuru and Vaneet Lotay and Stephen B. Ellis and Omri Gottesman and Erwin P. Bottinger},
  year = {2014},
  url = {http://knowledge.amia.org/56638-amia-1.1540970/t-004-1.1544972/f-004-1.1544973/a-168-1.1545169/a-169-1.1545166},
  researchr = {https://researchr.org/publication/HuopaniemiNNLEG14},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2014, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 15-19, 2014},
  publisher = {AMIA},
}