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Predicting Pulmonary Toxicity in Lung Cancer Patients with Interstitial Lung Disease Receiving SABR Using Machine Learning: A Secondary Analysis of ASPIRE-ILD.

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Title: Predicting Pulmonary Toxicity in Lung Cancer Patients with Interstitial Lung Disease Receiving SABR Using Machine Learning: A Secondary Analysis of ASPIRE-ILD.
Authors: Gil, M.1,2 (AUTHOR), Harrow, S.2 (AUTHOR), Nailon, W.2,3 (AUTHOR), Marshall, S.1 (AUTHOR), Doucet, R.4 (AUTHOR), Bahig, H.5 (AUTHOR), Bissonnette, J.P.6,7 (AUTHOR), Hope, A.8 (AUTHOR), Debenham, B.J.9 (AUTHOR), Gaede, S.10 (AUTHOR), Warner, A.10,11 (AUTHOR), Ryerson, C.12 (AUTHOR), Palma, D.A.10 (AUTHOR)
Source: International Journal of Radiation Oncology, Biology, Physics. 2024 Supplement, Vol. 120 Issue 2, pS171-S172. 2p.
Database: Academic Search Ultimate
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An: 179877113
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PubType: Academic Journal
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        Value: 10.1016/j.ijrobp.2024.07.2206
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      – TitleFull: Predicting Pulmonary Toxicity in Lung Cancer Patients with Interstitial Lung Disease Receiving SABR Using Machine Learning: A Secondary Analysis of ASPIRE-ILD.
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