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Aziz Nazha

Showing results (31-40 of 121) with videos related to

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Haematologica|October 5, 2013
The clinical impact of ponatinib on the risk of bleeding in patients with chronic myeloid leukemiaAziz Nazha, Carlos G Romo, Hagop Kantarjian, et al.
Blood Advances|June 5, 2023
How I read an article that uses machine learning methodsAziz Nazha, Olivier Elemento, Shannon McWeeney, et al.
Epilepsy & Behavior : E&B|September 12, 2022
Personalized model to predict seizures based on dynamic and static continuous EEG monitoring dataMoein Amin, Christopher Newey, Vineet Punia, et al.
Critical Reviews in Oncology/Hematology|April 15, 2015
Chronic myelomonocytic leukemia: Forefront of the field in 2015Christopher B Benton, Aziz Nazha, Naveen Pemmaraju, et al.
The Oncologist|August 26, 2015
Fibrogenesis in Primary Myelofibrosis: Diagnostic, Clinical, and Therapeutic ImplicationsAziz Nazha, Joseph D Khoury, Raajit K Rampal, et al.
Critical Care Explorations|October 25, 2021
Simplified Pediatric Index of Mortality 3 Score by Explainable Machine Learning AlgorithmOrkun Baloglu, Matthew Nagy, Chidiebere Ezetendu, et al.
The Oncologist|July 22, 2015
Molecular Testing in Myelodysplastic Syndromes for the Practicing Oncologist: Will the Progress Fulfill the Promise?Aziz Nazha, Mikkael A Sekeres, Steven D Gore, et al.
Clinical Lymphoma, Myeloma & Leukemia|September 18, 2012
Treatment of hairy cell leukemia during pregnancy: are purine analogues and rituximab viable therapeutic optionsNaval Daver, Aziz Nazha, Hagop M Kantarjian, et al.
Mayo Clinic Proceedings. Innovations, Quality & Outcomes|May 18, 2021
Personalized Prediction of Hospital Mortality in COVID-19-Positive PatientsDaniel Rozenbaum, Jacob Shreve, Nathan Radakovich, et al.
Chest|January 13, 2021
Novel Machine Learning Can Predict Acute Asthma ExacerbationJoe G Zein, Chao-Ping Wu, Amy H Attaway, et al.
Pageof 13

Showing results (31-40 of 121) with videos related to

Sort By:
Pageof 13
Haematologica|October 5, 2013
The clinical impact of ponatinib on the risk of bleeding in patients with chronic myeloid leukemiaAziz Nazha, Carlos G Romo, Hagop Kantarjian, et al.
Blood Advances|June 5, 2023
How I read an article that uses machine learning methodsAziz Nazha, Olivier Elemento, Shannon McWeeney, et al.
Epilepsy & Behavior : E&B|September 12, 2022
Personalized model to predict seizures based on dynamic and static continuous EEG monitoring dataMoein Amin, Christopher Newey, Vineet Punia, et al.
Critical Reviews in Oncology/Hematology|April 15, 2015
Chronic myelomonocytic leukemia: Forefront of the field in 2015Christopher B Benton, Aziz Nazha, Naveen Pemmaraju, et al.
The Oncologist|August 26, 2015
Fibrogenesis in Primary Myelofibrosis: Diagnostic, Clinical, and Therapeutic ImplicationsAziz Nazha, Joseph D Khoury, Raajit K Rampal, et al.
Critical Care Explorations|October 25, 2021
Simplified Pediatric Index of Mortality 3 Score by Explainable Machine Learning AlgorithmOrkun Baloglu, Matthew Nagy, Chidiebere Ezetendu, et al.
The Oncologist|July 22, 2015
Molecular Testing in Myelodysplastic Syndromes for the Practicing Oncologist: Will the Progress Fulfill the Promise?Aziz Nazha, Mikkael A Sekeres, Steven D Gore, et al.
Clinical Lymphoma, Myeloma & Leukemia|September 18, 2012
Treatment of hairy cell leukemia during pregnancy: are purine analogues and rituximab viable therapeutic optionsNaval Daver, Aziz Nazha, Hagop M Kantarjian, et al.
Mayo Clinic Proceedings. Innovations, Quality & Outcomes|May 18, 2021
Personalized Prediction of Hospital Mortality in COVID-19-Positive PatientsDaniel Rozenbaum, Jacob Shreve, Nathan Radakovich, et al.
Chest|January 13, 2021
Novel Machine Learning Can Predict Acute Asthma ExacerbationJoe G Zein, Chao-Ping Wu, Amy H Attaway, et al.
Pageof 13