Search Results - "PONGSITTISAK, W."

POS-178 ENSEMBLE TREE-BASED MACHINE LEARNING ALGORITHM TO PREDICT ACUTE KIDNEY REPLACEMENT THERAPY IN CRITICALLY ILL PATIENT by PONGSITTISAK, W., Kurathong, S., Srisawat, N.

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WCN23-0659THE PRAGMATIC MACHINE LEARNING MODEL TO PREDICT ACUTE KIDNEY REPLACEMENT THERAPY IN CRITICALLY ILL PATIENTS by PONGSITTISAK, W., Jaturapisanukul, S., Kurathong, S., Srisawat, N.

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WCN23-1039 THE XGBckd MODEL: PREDICT CHRONIC KIDNEY DISEASE IN DIABETES PATIENTS by PONGSITTISAK, W., Jaturapisanukul, S., Launchuaychok, P., Kurathong, S., Suraamonkul, S.

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WCN23-0320 DDAVP for bleeding prophylaxis in patients undergoing kidney biopsy procedures: A randomized controlled trial by LAUNGCHUAYCHOK, P., Jaturapisanukul, S., Claimon, T., Pongsittisak, W., Ngamvichchukorn, T., Kurathong, S., Trakarnvanich, T., Teepprasan, T.

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Cranial versus Caudal Direction Technique of Native Percutaneous Kidney Biopsy: A Randomized Controlled Trial by Jaturapisanukul, Solos, Chavanisakun, Chutima, Benjakul, Nontawat, Ngamvichchukorn, Tanun, Laungchuaychok, Punnawit, Kurathong, Sathit, Pongsittisak, Wanjak

“…Percutaneous kidney biopsy (PKB) is the gold standard for diagnosing various kidney diseases, but it can result in potential complications. This study aimed to…”
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SAT-063 EFFICACY OF LOW-DOSE FENOFIBRATE COMPARED TO GEMFIBROZIL IN REDUCING PLASMA LIPIDS IN HEMODIALYSIS-DEPENDENT CKD PATIENTS by Kurathong, S., Trapcharoen, V., Pongsittisak, W., Trongtrakul, K., Prommool, S., Trakarnvanich, T.

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