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

Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph Kvedar, Kamal Jethwani. 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. Inf. & Decision Making, 18(1), 2018. [doi]

Authors

Sara Bersche Golas

This author has not been identified. Look up 'Sara Bersche Golas' in Google

Takuma Shibahara

This author has not been identified. Look up 'Takuma Shibahara' in Google

Stephen Agboola

This author has not been identified. Look up 'Stephen Agboola' in Google

Hiroko Otaki

This author has not been identified. Look up 'Hiroko Otaki' in Google

Jumpei Sato

This author has not been identified. Look up 'Jumpei Sato' in Google

Tatsuya Nakae

This author has not been identified. Look up 'Tatsuya Nakae' in Google

Toru Hisamitsu

This author has not been identified. Look up 'Toru Hisamitsu' in Google

Go Kojima

This author has not been identified. Look up 'Go Kojima' in Google

Jennifer Felsted

This author has not been identified. Look up 'Jennifer Felsted' in Google

Sujay Kakarmath

This author has not been identified. Look up 'Sujay Kakarmath' in Google

Joseph Kvedar

This author has not been identified. Look up 'Joseph Kvedar' in Google

Kamal Jethwani

This author has not been identified. Look up 'Kamal Jethwani' in Google