Cita APA (7a ed.)
KANDASAMY, N., CHAUSSALET, T., & BASUKOSKI, A. (2023). A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining...21st International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH), July 1-3, 2023, Athens, Greece. Studies in Health Technology & Informatics, 305, 190-194.
Cita Chicago Style (17a ed.)
KANDASAMY, Nichalini, Thierry CHAUSSALET, y Artie BASUKOSKI. "A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining...21st International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH), July 1-3, 2023, Athens, Greece." Studies in Health Technology & Informatics 305 (2023): 190-194.
Cita MLA (9a ed.)
KANDASAMY, Nichalini, et al. "A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining...21st International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH), July 1-3, 2023, Athens, Greece." Studies in Health Technology & Informatics, vol. 305, 2023, pp. 190-194.
Precaución: Estas citas no son 100% exactas.