The Pragmatic Machine Learning Algorithm to Predict Acute Kidney Replacement Therapy in Critically-ill Patient
Predict AKRT within 7 days of the critically-ill patient.
The models were trained and tested on data from the SEA-AKI study. This data was provided by Dr. Nattachai Srisawat. All models were externally validated with Vajira Acute Kidney Injury Dataset. The complete experiment method and results have been prepared and will be published soon. However, The performance of models is partially reported below. The model construction, experiment, and web development have been done by Dr. Wanjak Pongsittisak and VBaM4H. For more information or any suggestion, don't hesitate to get in touch with us.
A manuscript about model development and validation has been prepared.