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Machine learning prediction of pathological complete response and overall survival of breast cancer patients in an underserved inner-city population.

Kevin Dell'AquilaAbhinav VadlamaniTakouhie MaldjianSusan FinebergAnna EligulashviliJulie ChungRichard AdamLaura HodgesWei HouDella MakowerTim Q Duong
Published in: Breast cancer research : BCR (2024)
Tumor subtypes and imaging characteristics were top predictors of pCR in our inner-city population. Insurance status, race, tumor subtypes and pCR were associated with OS. Machine learning models accurately predicted pCR and OS.
Keyphrases
  • machine learning
  • real time pcr
  • big data
  • high resolution
  • health insurance
  • photodynamic therapy