A Machine Learning Model to Predict Risk of 30-day Readmissions in Patients with Heart Failure. Golas, S., B., Kakarmath, S., Agboola, S., Sato, J., Shibahara, T., Otaki, H., Nakae, T., Hisamitsu, T., Kojima, G., & Felsted, J. In MGH Clinical Research Day, pages 109, 2017.
bibtex   
@inproceedings{
 title = {A Machine Learning Model to Predict Risk of 30-day Readmissions in Patients with Heart Failure},
 type = {inproceedings},
 year = {2017},
 pages = {109},
 id = {911dd71f-8490-3c97-801f-c42232a72eb8},
 created = {2021-01-07T05:18:00.990Z},
 file_attached = {false},
 profile_id = {b90791b6-12c8-3001-8f31-84fefff01c00},
 last_modified = {2021-01-07T05:18:00.990Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 source_type = {Conference Proceedings},
 private_publication = {false},
 bibtype = {inproceedings},
 author = {Golas, Sara Bersche and Kakarmath, Sujay and Agboola, Stephen and Sato, Jumpei and Shibahara, Takuma and Otaki, Hiroko and Nakae, Tatsuya and Hisamitsu, Toru and Kojima, Go and Felsted, Jennifer},
 booktitle = {MGH Clinical Research Day}
}

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