
| 10.1093/jamia/ocab089
http://scihub22266oqcxt.onion/10.1093/jamia/ocab089
 34151986!8344501!34151986
free
free
free
|  
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\34151986.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117
J+Am+Med+Inform+Assoc 2021 ; 28 (9): 1977-1981 Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
|
Practical development and operationalization of a 12-hour hospital census prediction algorithm #MMPMID34151986Ryu AJ; Romero-Brufau S; Shahraki N; Zhang J; Qian R; Kingsley TCJ Am Med Inform Assoc 2021[Aug]; 28 (9): 1977-1981 PMID34151986show ga
Hospital census prediction has well-described implications for efficient hospital resource utilization, and recent issues with hospital crowding due to CoVID-19 have emphasized the importance of this task. Our team has been leading an institutional effort to develop machine-learning models that can predict hospital census 12 hours into the future. We describe our efforts at developing accurate empirical models for this task. Ultimately, with limited resources and time, we were able to develop simple yet useful models for 12-hour census prediction and design a dashboard application to display this output to our hospital's decision-makers. Specifically, we found that linear models with ElasticNet regularization performed well for this task with relative 95% error of +/- 3.4% and that this work could be completed in approximately 7 months.|*Censuses[MESH]|*Hospitals[MESH]|COVID-19[MESH]|Humans[MESH]
  
DeepDyve Pubget Overpricing | 
|