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Elaine Zaunseder1,2, Julian Teinert3, Nikolas Boy3

  • 1Engineering Mathematics and Computing Lab (EMCL), Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, 69120 Heidelberg, Germany.

概括

机器学习显著减少了新生儿查1型谷氨酸酸尿 (GA1) 的错误阳性,这是一个罕见的遗传代谢疾病. 这种数字级策略提高了准确性,并降低了受影响家庭的成本.