DiscoverHemaSphere PodcastMachine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis - Ep 1.3
Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis - Ep 1.3

Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis - Ep 1.3

Update: 2023-08-02
Share

Description

Machine Learning is a subsection in the field of Artificial Intelligence. How can this be used as a tool in hematology-oncology for advanced disease prognostification and beyond? Adrián Mosquera-Orgueira and Juan Carlos Hernández-Boluda, two co-authors of the HemaSphere published article Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis, discuss with host Dr Stephen Hibbs the challenges and outcomes in utilizing a novel myelofibrosis survival model that aids in risk stratification for patients diagnosed with myelofibrosis. Read the referenced article in HemaSphere, also available on our YouTube channel.

Comments 
00:00
00:00
x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis - Ep 1.3

Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis - Ep 1.3