Header Logo

Connection

Kimberly Rieger-Christ to Machine Learning

Back to Details
This is a "connection" page, showing publications Kimberly Rieger-Christ has written about Machine Learning.
Kimberly Rieger-Christ
Connection Strength
0.033
Machine Learning
  1. Albala D, Manak MS, Varsanik JS, Rashid HH, Mouraviev V, Zappala SM, Ette E, Kella N, Rieger-Christ KM, Sant GR, Chander AC. Clinical Proof-of-concept of a Novel Platform Utilizing Biopsy-derived Live Single Cells, Phenotypic Biomarkers, and Machine Learning Toward a Precision Risk Stratification Test for Prostate Cancer Grade Groups 1 and 2 (Gleason 3?+?3 and 3?+?4). Urology. 2019 02; 124:198-206.
    View in: PubMed
    Score: 0.033
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.