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MSR32 Validating a Machine-Learning Approach to Cancer Stage Identification Using Medicare Claims and SEER Data.

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Title: MSR32 Validating a Machine-Learning Approach to Cancer Stage Identification Using Medicare Claims and SEER Data.
Authors: Smith, R.1 (AUTHOR), Miller-Wilson, L.A.2 (AUTHOR), Ho, N.2 (AUTHOR), Cuyun Carter, G.2 (AUTHOR), Fayyaz, I.1 (AUTHOR), Pope, A.1 (AUTHOR), Pelizzari, P.1 (AUTHOR), Pyenson, B.1 (AUTHOR)
Source: Value in Health. 2023 Supplement, Vol. 26 Issue 6, pS283-S283. 1p.
Database: Academic Search Ultimate
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PubType: Academic Journal
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  Data: MSR32 Validating a Machine-Learning Approach to Cancer Stage Identification Using Medicare Claims and SEER Data.
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        Value: 10.1016/j.jval.2023.03.1568
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      – Code: eng
        Text: English
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      – TitleFull: MSR32 Validating a Machine-Learning Approach to Cancer Stage Identification Using Medicare Claims and SEER Data.
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              Text: 2023 Supplement
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            – TitleFull: Value in Health
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