Machine learning and modeling: Data, validation, communication challenges

Author:

El Naqa Issam1,Ruan Dan2,Valdes Gilmer3,Dekker Andre4,McNutt Todd5,Ge Yaorong6,Wu Q. Jackie7,Oh Jung Hun8,Thor Maria8,Smith Wade9,Rao Arvind1011,Fuller Clifton10,Xiao Ying12,Manion Frank1,Schipper Matthew1,Mayo Charles1,Moran Jean M.1,Ten Haken Randall1

Affiliation:

1. Department of Radiation Oncology; University of Michigan; Ann Arbor MI USA

2. Department of Radiation Oncology; University of California Los Angeles; Los Angeles CA USA

3. Department of Radiation Oncology; University of California Los San Francisco; San Francisco CA USA

4. GROW-School for Oncology and Developmental Biology; Department of Radiation Oncology (MAASTRO); Maastricht University Medical Center; Maastricht The Netherlands

5. Department of Radiation Oncology; John Hopkins University; Baltimore MD USA

6. Department of Software and Information Systems; University of North Carolina; Charlotte NC USA

7. Department of Radiation Oncology; Duke University Medical Center; Durham NC USA

8. Department of Medical Physics; Memorial Sloan Kettering Cancer Center; New York NY USA

9. Department of Radiation Oncology; University of Washington; Seattle WA USA

10. Department of Radiation Oncology; MD Anderson; Houston TX USA

11. Department of Bioinformatics and Computational Biology; MD Anderson; Houston TX USA

12. Department of Radiation Oncology; University of Pennsylvania; Philadelphia PA USA

Publisher

Wiley

Subject

General Medicine

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