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John J Dillon

Showing results (31-40 of 52) with videos related to

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Journal of Nephrology|October 8, 2021
Hypernatremia subgroups among hospitalized patients by machine learning consensus clustering with different patient survivalCharat Thongprayoon, Michael A Mao, Mira T Keddis, et al.
Journal of Personalized Medicine|November 27, 2021
Machine Learning Consensus Clustering Approach for Patients with Lactic Acidosis in Intensive Care UnitsPattharawin Pattharanitima, Charat Thongprayoon, Tananchai Petnak, et al.
Journal of Clinical Medicine|October 13, 2021
Machine Learning Consensus Clustering Approach for Hospitalized Patients with Phosphate DerangementsCharat Thongprayoon, Carissa Y Dumancas, Voravech Nissaisorakarn, et al.
Diseases (Basel, Switzerland)|August 27, 2021
Machine Learning Consensus Clustering of Hospitalized Patients with Admission HyponatremiaCharat Thongprayoon, Panupong Hansrivijit, Michael A Mao, et al.
Nephrology, Dialysis, Transplantation : Official Publication of the European Dialysis and Transplant Association - European Renal Association|September 19, 2012
Low- and high-molecular-weight urinary proteins as predictors of response to rituximab in patients with membranous nephropathy: a prospective studyMaria V Irazabal, Alfonso Eirin, John Lieske, et al.
Clinical Journal of the American Society of Nephrology : CJASN|July 21, 2018
End of Life, Withdrawal, and Palliative Care Utilization among Patients Receiving Maintenance Hemodialysis TherapyJoy Chieh-Yu Chen, Bjorg Thorsteinsdottir, Lisa E Vaughan, et al.
Medical Sciences (Basel, Switzerland)|October 26, 2021
Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus ClusteringCharat Thongprayoon, Pradeep Vaitla, Voravech Nissaisorakarn, et al.
Medicina (Kaunas, Lithuania)|September 28, 2021
Subtyping Hyperchloremia among Hospitalized Patients by Machine Learning Consensus ClusteringCharat Thongprayoon, Voravech Nissaisorakarn, Pattharawin Pattharanitima, et al.
Journal of Clinical Medicine|November 13, 2021
Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic AcidosisPattharawin Pattharanitima, Charat Thongprayoon, Wisit Kaewput, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Machine Learning Consensus Clustering Approach for Hospitalized Patients with DysmagnesemiaCharat Thongprayoon, Janina Paula T Sy-Go, Voravech Nissaisorakarn, et al.
Pageof 6

Showing results (31-40 of 52) with videos related to

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Pageof 6
Journal of Nephrology|October 8, 2021
Hypernatremia subgroups among hospitalized patients by machine learning consensus clustering with different patient survivalCharat Thongprayoon, Michael A Mao, Mira T Keddis, et al.
Journal of Personalized Medicine|November 27, 2021
Machine Learning Consensus Clustering Approach for Patients with Lactic Acidosis in Intensive Care UnitsPattharawin Pattharanitima, Charat Thongprayoon, Tananchai Petnak, et al.
Journal of Clinical Medicine|October 13, 2021
Machine Learning Consensus Clustering Approach for Hospitalized Patients with Phosphate DerangementsCharat Thongprayoon, Carissa Y Dumancas, Voravech Nissaisorakarn, et al.
Diseases (Basel, Switzerland)|August 27, 2021
Machine Learning Consensus Clustering of Hospitalized Patients with Admission HyponatremiaCharat Thongprayoon, Panupong Hansrivijit, Michael A Mao, et al.
Nephrology, Dialysis, Transplantation : Official Publication of the European Dialysis and Transplant Association - European Renal Association|September 19, 2012
Low- and high-molecular-weight urinary proteins as predictors of response to rituximab in patients with membranous nephropathy: a prospective studyMaria V Irazabal, Alfonso Eirin, John Lieske, et al.
Clinical Journal of the American Society of Nephrology : CJASN|July 21, 2018
End of Life, Withdrawal, and Palliative Care Utilization among Patients Receiving Maintenance Hemodialysis TherapyJoy Chieh-Yu Chen, Bjorg Thorsteinsdottir, Lisa E Vaughan, et al.
Medical Sciences (Basel, Switzerland)|October 26, 2021
Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus ClusteringCharat Thongprayoon, Pradeep Vaitla, Voravech Nissaisorakarn, et al.
Medicina (Kaunas, Lithuania)|September 28, 2021
Subtyping Hyperchloremia among Hospitalized Patients by Machine Learning Consensus ClusteringCharat Thongprayoon, Voravech Nissaisorakarn, Pattharawin Pattharanitima, et al.
Journal of Clinical Medicine|November 13, 2021
Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic AcidosisPattharawin Pattharanitima, Charat Thongprayoon, Wisit Kaewput, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Machine Learning Consensus Clustering Approach for Hospitalized Patients with DysmagnesemiaCharat Thongprayoon, Janina Paula T Sy-Go, Voravech Nissaisorakarn, et al.
Pageof 6