Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans.

I Danciu; S Erwin; G Agasthya; T Janet; B McMahon; G Tourassi; A Justice

Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans.

I Danciu, S Erwin, G Agasthya, T Janet, B McMahon, G Tourassi, A Justice

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	American English
Number of pages	2
Journal	Journal of Clinical Oncology
Volume	38
Issue number	15
State	Published - May 20 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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@article{19ddfa31dd7041a4a9aa598cc0acaa83,

title = "Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans.",

author = "I Danciu and S Erwin and G Agasthya and T Janet and B McMahon and G Tourassi and A Justice",

year = "2020",

month = may,

day = "20",

language = "American English",

volume = "38",

journal = "Journal of Clinical Oncology",

issn = "0732-183X",

publisher = "American Society of Clinical Oncology",

number = "15",

}

TY - JOUR

T1 - Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans.

AU - Danciu, I

AU - Erwin, S

AU - Agasthya, G

AU - Janet, T

AU - McMahon, B

AU - Tourassi, G

AU - Justice, A

PY - 2020/5/20

Y1 - 2020/5/20

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=ornlpure&SrcAuth=WosAPI&KeyUT=WOS:000560368306316&DestLinkType=FullRecord&DestApp=WOS

M3 - Meeting Abstract

SN - 0732-183X

VL - 38

JO - Journal of Clinical Oncology

JF - Journal of Clinical Oncology

IS - 15

ER -

Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans.

UN SDGs

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