Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
December 17, 2020CancersOpen Access

Machine Learning Algorithms to Predict Recurrence within 10 Years after Breast Cancer Surgery: A Prospective Cohort Study

View Full Paper
Ask AI
Bookmark
Share

Authors

SLShi‐Jer LouMHMing‐Feng HouHCHong‐Tai Chang

Discussion

Loading...

Member takes

Overview

Key Points

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

Cite This Study

Lou et al. (2020) studied this question.

synapsesocial.com/papers/6a7045f98031ec7bb1dc393bhttps://doi.org/10.3390/cancers12123817
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. 1Comparison of unsupervised machine-learning methods to identify metabolomic signatures in patients with localized breast cancer2020 · 40 citations
  2. 2An Artificial Neural Network Integrated Pipeline for Biomarker Discovery Using Alzheimer's Disease as a Case Study2018 · 66 citations
  3. 3Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer2016 · 39 citations
  4. 4Generating survival times to simulate Cox proportional hazards models2005 · 908 citations
  5. 5Relationship between surgeon volume and outcomes: a systematic review of systematic reviews2016 · 361 citations