APA (7th ed.) Citation

Fukuma, S., Yuzawa, Y., Inaguma, D., Hayashi, H., Yanagiya, R., Koseki, A., . . . Kudo, M. Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: A retrospective cohort study using a large data set from a hospital in Japan. BMJ Publishing Group.

Chicago Style (17th ed.) Citation

Fukuma, Shingo, Yukio Yuzawa, Daijo Inaguma, Hiroki Hayashi, Ryosuke Yanagiya, Akira Koseki, Toshiya Iwamori, and Michiharu Kudo. Development of a Machine Learning-based Prediction Model for Extremely Rapid Decline in Estimated Glomerular Filtration Rate in Patients with Chronic Kidney Disease: A Retrospective Cohort Study Using a Large Data Set from a Hospital in Japan. BMJ Publishing Group.

MLA (9th ed.) Citation

Fukuma, Shingo, et al. Development of a Machine Learning-based Prediction Model for Extremely Rapid Decline in Estimated Glomerular Filtration Rate in Patients with Chronic Kidney Disease: A Retrospective Cohort Study Using a Large Data Set from a Hospital in Japan. BMJ Publishing Group.