TY - GEN
T1 - Using machine learning to identify benign cases with non-definitive biopsy
AU - Kuusisto, Finn
AU - Dutra, Ines
AU - Nassif, Houssam
AU - Wu, Yirong
AU - Klein, Molly E.
AU - Neuman, Heather B.
AU - Shavlik, Jude
AU - Burnside, Elizabeth S.
PY - 2013
Y1 - 2013
N2 - When mammography reveals a suspicious finding, a core needle biopsy is usually recommended. In 5% to 15% of these cases, the biopsy diagnosis is non-definitive and a more invasive surgical excisional biopsy is recommended to confirm a diagnosis. The majority of these cases will ultimately be proven benign. The use of excisional biopsy for diagnosis negatively impacts patient quality of life and increases costs to the healthcare system. In this work, we employ a multi-relational machine learning approach to predict when a patient with a non-definitive core needle biopsy diagnosis need not undergo an excisional biopsy procedure because the risk of malignancy is low.
AB - When mammography reveals a suspicious finding, a core needle biopsy is usually recommended. In 5% to 15% of these cases, the biopsy diagnosis is non-definitive and a more invasive surgical excisional biopsy is recommended to confirm a diagnosis. The majority of these cases will ultimately be proven benign. The use of excisional biopsy for diagnosis negatively impacts patient quality of life and increases costs to the healthcare system. In this work, we employ a multi-relational machine learning approach to predict when a patient with a non-definitive core needle biopsy diagnosis need not undergo an excisional biopsy procedure because the risk of malignancy is low.
UR - http://www.scopus.com/inward/record.url?scp=84894144763&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894144763&partnerID=8YFLogxK
U2 - 10.1109/HealthCom.2013.6720685
DO - 10.1109/HealthCom.2013.6720685
M3 - Conference contribution
AN - SCOPUS:84894144763
SN - 9781467358019
T3 - 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
SP - 283
EP - 285
BT - 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
T2 - 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
Y2 - 9 October 2013 through 12 October 2013
ER -