Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 21, 2024Open Access

Prediction of Breast Cancer Recurrence With Machine Learning

View Full Paper
Ask AI
Bookmark
Share

Authors

FHFariba Jafari HorestaniMOM. Mehdi Owrang OGSG. Schwarz

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Horestani et al. (2024) studied this question.

synapsesocial.com/papers/68e63d09b6db6435875ce864https://doi.org/10.22541/au.171900904.46642283/v1
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Using recursive feature elimination in random forest to account for correlated variables in high dimensional data2018 · 618 citations
  2. 2A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results2021 · 39 citations
  3. 3Machine Learning Algorithms to Predict Recurrence within 10 Years after Breast Cancer Surgery: A Prospective Cohort Study2020 · 67 citations
  4. 4Factors associated with breast cancer recurrences or mortality and dynamic prediction of death using history of cancer recurrences: the French E3N cohort2018 · 132 citations
  5. 5Classification Based on Decision Tree Algorithm for Machine Learning2021 · 1,879 citations