Prediction of hemorrhagic complication after thrombolytic therapy based on multimodal data from multiple centers: an approach to machine learning and system implementation

HIGHLIGHTS

• who: Shaoguo Cui and collaborators from the School of Computer and Information Science, Chongqing Normal University, Chongqing, China have published the Article: Prediction of Hemorrhagic Complication after Thrombolytic Therapy Based on Multimodal Data from Multiple Centers: An Approach to Machine Learning and System Implementation, in the Journal: (JOURNAL) of 24/08/2022
• what: The authors developed machine_learning models based on data from multiple centers and explored multiple modality data of image and clinical information. It can be seen that the four models have specific practical significance.
• how: In this study only image features . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.