Cargando…

Using machine learning to predict rapid decline of kidney function in sickle cell anemia

Detalles Bibliográficos
Autores principales:	Güntürkün, Fatma, Chen, Daiqing, Akbilgic, Oguz, Davis, Robert L., Karabayir, Ibrahim, Strome, Maxwell, Dai, Yang, Saraf, Santosh L., Ataga, Kenneth I.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Short Reports
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9176130/ https://www.ncbi.nlm.nih.gov/pubmed/35845269 http://dx.doi.org/10.1002/jha2.168

Ejemplares similares

Rapid decline in estimated glomerular filtration rate in sickle cell anemia: results of a multicenter pooled analysis
por: Ataga, Kenneth I., et al.
Publicado: (2020)

Gradient boosting for Parkinson’s disease diagnosis from voice recordings
por: Karabayir, Ibrahim, et al.
Publicado: (2020)

Longitudinal study of glomerular hyperfiltration in adults with sickle cell anemia: a multicenter pooled analysis
por: Ataga, Kenneth I., et al.
Publicado: (2022)

Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic
por: Butler, Liam, et al.
Publicado: (2022)

Predicting Parkinson’s Disease and Its Pathology via Simple Clinical Variables
por: Karabayir, Ibrahim, et al.
Publicado: (2022)

Externally validated deep learning model to identify prodromal Parkinson’s disease from electrocardiogram
por: Karabayir, Ibrahim, et al.
Publicado: (2023)

Machine Learning to Identify Dialysis Patients at High Death Risk
por: Akbilgic, Oguz, et al.
Publicado: (2019)

Use of multiple urinary biomarkers for the early detection of chronic kidney disease in sickle cell anemia
por: Castro-Sesquen, Yagahira E., et al.
Publicado: (2023)

Drug Therapies for the Management of Sickle Cell Disease
por: Rai, Parul, et al.
Publicado: (2020)

Improvement of hemolytic anemia with GBT1118 is renoprotective in transgenic sickle mice
por: Ren, Guohui, et al.
Publicado: (2022)

Sex differences in progression of kidney disease in sickle cell disease
por: Ataga, Kenneth I., et al.
Publicado: (2022)

Community‐level socioeconomic distress is associated with nutritional status in adults with sickle cell anemia
por: Ally, Syeda Akila, et al.
Publicado: (2023)

Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study
por: Mohammed, Akram, et al.
Publicado: (2020)

Albuminuria Is Associated with Endothelial Dysfunction and Elevated Plasma Endothelin-1 in Sickle Cell Anemia
por: Ataga, Kenneth I., et al.
Publicado: (2016)

The glomerulopathy of sickle cell disease
por: Ataga, Kenneth I, et al.
Publicado: (2014)

ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure
por: Akbilgic, Oguz, et al.
Publicado: (2021)

High bias and low precision for estimated versus measured glomerular filtration rate in pediatric sickle cell anemia
por: Lebensburger, Jeffrey D., et al.
Publicado: (2020)

Clinical Implications of the Association of Fetal Hemoglobin with Peripheral Oxygen Saturation in Sickle Cell Disease
por: Abdulmalik, Osheiza, et al.
Publicado: (2017)

Allogeneic Hematopoietic Stem Cell Transplantation for Adults with Sickle Cell Disease
por: Saraf, Santosh L., et al.
Publicado: (2019)

Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography
por: Martinez, Daniel Sierra-Lara, et al.
Publicado: (2022)

Analyzing Electronic Medical Records to Predict Risk of DIT (Death, Intubation, or Transfer to ICU) in Pediatric Respiratory Failure or Related Conditions
por: Viangteeravat, Teeradache, et al.
Publicado: (2017)

P-020: IMPLICATIONS OF SOCIOECONOMIC DISTRESS ON NUTRITIONAL STATUS AND KIDNEY FUNCTION IN PEOPLE WITH SICKLE CELL ANEMIA
por: J., HAN, et al.
Publicado: (2022)

NNKTT120, an anti-iNKT cell monoclonal antibody, produces rapid and sustained iNKT cell depletion in adults with sickle cell disease
por: Field, Joshua J., et al.
Publicado: (2017)

Sexuality and sickle cell anemia
por: Côbo, Viviane de Almeida, et al.
Publicado: (2013)

End Stage Kidney Disease Outcomes in Children and Young Adults with Sickle Cell Disease in the United States Renal Data System
por: Zahr, Rima S., et al.
Publicado: (2023)

Acute kidney injury in hospitalized children with sickle cell anemia
por: Batte, Anthony, et al.
Publicado: (2022)

Oxidative status in sickle cell anemia
por: Magalhães, Silvia Maria Meira
Publicado: (2011)

Hepatobiliary Manifestations of Sickle Cell Anemia
por: Issa, Hussain, et al.
Publicado: (2010)

Sickle Cell Anemia and Babesia Infection
por: Beri, Divya, et al.
Publicado: (2021)

Association of Coagulation Activation with Clinical Complications in Sickle Cell Disease
por: Ataga, Kenneth I., et al.
Publicado: (2012)

A Novel Technique of Spectral Discrimination of Variants of Sickle Cell Anemia
por: Masilamani, Vadivel, et al.
Publicado: (2018)

Comparative analysis between convolutional neural network learned and engineered features: A case study on cardiac arrhythmia detection
por: Mahajan, Ruhi, et al.
Publicado: (2020)

The significance of spleen size in children with sickle cell anemia
por: Nardo‐Marino, Amina, et al.
Publicado: (2022)

Predictors and clinical complications associated with antiphospholipid antibodies in sickle cell disease
por: Rivera, Claudia Rodriguez, et al.
Publicado: (2023)

Myonecrosis in Sickle Cell Anemia—Overlooked and Underdiagnosed
por: Tageja, Nishant, et al.
Publicado: (2010)

Nitric oxide status in sickle cell anemia
por: Gonçalves, Romélia Pinheiro
Publicado: (2012)

Haplotype Map of Sickle Cell Anemia in Tunisia
por: Moumni, Imen, et al.
Publicado: (2014)

Myonecrosis in Sickle Cell Anemia: Case Study
por: Turaga, Lalita Prabha, et al.
Publicado: (2017)

The clinical epidemiology of sickle cell anemia In Africa
por: Macharia, Alex W., et al.
Publicado: (2017)

Anemia is a risk factor for rapid eGFR decline in type 2 diabetes
por: Xie, Lijie, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_83pe5fvd7cod96c2o27sq6i4fc