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Connection

Calin Prodan to Support Vector Machine

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This is a "connection" page, showing publications Calin Prodan has written about Support Vector Machine.
Calin Prodan
Connection Strength
0.049
Support Vector Machine
  1. Applying Quantitative Radiographic Image Markers to Predict Clinical Complications After Aneurysmal Subarachnoid Hemorrhage: A Pilot Study. Ann Biomed Eng. 2022 Apr; 50(4):413-425.
    View in: PubMed
    Score: 0.049
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.