The promise of machine learning applications in solid organ transplantation
Solid-organ transplantation is a life-saving treatment for end-stage organ disease in highly
selected patients. Alongside the tremendous progress in the last several decades, new …
selected patients. Alongside the tremendous progress in the last several decades, new …
A machine learning approach for the prediction of overall deceased donor organ yield
Background Optimizing organ yield (number of organs transplanted per donor) is a
potentially modifiable way to increase the number of organs available for transplant. Models …
potentially modifiable way to increase the number of organs available for transplant. Models …
Data-Driven Decision Making in Healthcare
W Marrero Colon - 2020 - deepblue.lib.umich.edu
The increasing availability of healthcare data has provided a great opportunity for the
development of data-driven models to guide health policy and medical practice. The …
development of data-driven models to guide health policy and medical practice. The …