An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial-Reference-Cited by-同舟云学术

An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial

Author:

Beaulac Cédric¹,Rosenthal Jeffrey S.¹,Pei Qinglin²,Friedman Debra³,Wolden Suzanne⁴,Hodgson David⁵

Affiliation:

1. Department of Statistical Sciences, University of Toronto, Toronto, Canada

2. Department of Biostatistics, University of Florida, Gainesville, Florida, USA

3. Department of Pediatrics, Vanderbilt University, Nashville, Tennessee, USA

4. Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA

5. Department of Radiation Oncology, University of Toronto, Toronto, Canada

Funder

Children’s Oncology Group

National Cancer Institute of the National Institute of Health under the National Clinical Trials Network (NCTN) Operations Center

NCTN Statistics and Data Center

St. Baldrick’s Foundation; the Natural Sciences and Engineering Research Council of Canada

the Ontario Graduate Scholarships

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

Reference50 articles.

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