Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
January 1, 2016IEEE AccessOpen Access

A Hybrid Feature Selection With Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis

View Full Paper
Ask AI
Bookmark
Share

Authors

SHShamsul HudaJYJohn YearwoodHJHerbert F. Jelinek

Discussion

Loading...

Member takes

Overview

Key Points

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

Cite This Study

Huda et al. (2016) studied this question.

synapsesocial.com/papers/6a6f9cd3e5469ee92be081fdhttps://doi.org/10.1109/access.2016.2647238
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. 1Automatic tumor segmentation using knowledge-based techniques1998 · 464 citations
  2. 2Lymphoma and Leukemia Cells Possess Fractal Dimensions That Correlate with Their Biological Features2008 · 72 citations
  3. 3Diagnosis of oligodendroglioma: Molecular and classical histological assessment in the twenty‐first century2012 · 9 citations
  4. 4Computational chemistry approach for the early detection of drug‐induced idiosyncratic liver toxicity2007 · 56 citations
  5. 5WLD: A Robust Local Image Descriptor2009 · 1,023 citations