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26-A-10547-ACC DETERMINING A MINIMAL SET OF FEATURES TO PREDICT NON-OBSTRUCTIVE CORONARY ARTERY DISEASE USING MACHINE-LEARNING.

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Title: 26-A-10547-ACC DETERMINING A MINIMAL SET OF FEATURES TO PREDICT NON-OBSTRUCTIVE CORONARY ARTERY DISEASE USING MACHINE-LEARNING.
Authors: Gilbert, Caitlyn1 (AUTHOR), Labib, Dina1 (AUTHOR), Amakiri, Augustine1 (AUTHOR), Feng, Yuanchao1 (AUTHOR), Chunta, Alec1 (AUTHOR), White, James1 (AUTHOR), Wilton, Stephen1 (AUTHOR), Fine, Nowell Mark1 (AUTHOR), Miller, Robert1 (AUTHOR)
Source: Journal of the American College of Cardiology (JACC). 2026 Supplement, Vol. 87 Issue 13, pA1055-A1055. 1p.
Database: Academic Search Ultimate
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An: 192819370
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+College+of+Cardiology+%28JACC%29%22">Journal of the American College of Cardiology (JACC)</searchLink>. 2026 Supplement, Vol. 87 Issue 13, pA1055-A1055. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192819370
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        Value: 10.1016/j.jacc.2026.02.2591
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        Text: English
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      – TitleFull: 26-A-10547-ACC DETERMINING A MINIMAL SET OF FEATURES TO PREDICT NON-OBSTRUCTIVE CORONARY ARTERY DISEASE USING MACHINE-LEARNING.
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              Text: 2026 Supplement
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              Y: 2026
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              Value: 87
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              Value: 13
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            – TitleFull: Journal of the American College of Cardiology (JACC)
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