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Marinus J C Eijkemans

Datos Biográficos

ID10241816
NOMBREMarinus J C Eijkemans
NOMBRESMarinus J C
APELLIDOEijkemans
FIRMAEIJKEMANS M J C
AFILIACIONESUtrecht University
ORCID0000-0001-9400-0615
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0
  • Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach

    Open Access•Okechinyere Achilonu, Okechinyere J Achilonu et al.•ARTICLE•Frontiers in Public Health•2021

    Background: South Africa (SA) has the highest incidence of colorectal cancer (CRC) in Sub-Saharan Africa (SSA). However, there is limited research on CRC recurrence and survival in SA. CRC recurrence and overall survival are highly variable across studies. Accurate prediction of patients at risk can enhance clinical expectations and decisions within the South African CRC patients population. We explored the feasibility of integrating statistical …

Sin obras prominentes en esta página.

  • Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach

    Open Access•Okechinyere Achilonu, Okechinyere J Achilonu et al.•ARTICLE•Frontiers in Public Health•2021

    Background: South Africa (SA) has the highest incidence of colorectal cancer (CRC) in Sub-Saharan Africa (SSA). However, there is limited research on CRC recurrence and survival in SA. CRC recurrence and overall survival are highly variable across studies. Accurate prediction of patients at risk can enhance clinical expectations and decisions within the South African CRC patients population. We explored the feasibility of integrating statistical …

Artificial Intelligence (1 obras) · Cancer (1 obras) · Colorectal cancer (1 obras) · Colorectal Cancer Screening and Detection (1 obras) · Computer Science (1 obras) · Discriminative model (1 obras) · Global Cancer Incidence and Screening (1 obras) · Internal Medicine (1 obras) · Interpretability (1 obras) · Logistic regression (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae