A novel machine learning model for the prediction of avian haemosporidian infection from morphological dataOA
A novel machine learning model for the prediction of avian haemosporidian infection from morphological data
Ruitian Xu;Qingfeng Gan;Shiqiong Chuan;Xi Huang
MOE Key Laboratory for Biodiversity Science and Ecological Engineering,College of Life Sciences,Beijing Normal University,Beijing,100875,ChinaMOE Key Laboratory for Biodiversity Science and Ecological Engineering,College of Life Sciences,Beijing Normal University,Beijing,100875,ChinaMOE Key Laboratory for Biodiversity Science and Ecological Engineering,College of Life Sciences,Beijing Normal University,Beijing,100875,ChinaMOE Key Laboratory for Biodiversity Science and Ecological Engineering,College of Life Sciences,Beijing Normal University,Beijing,100875,China
AvianHaemosporidianInfection predictionMachine learningMorphological traitsXGBoost
AvianHaemosporidianInfection predictionMachine learningMorphological traitsXGBoost
《鸟类学研究（英文版）》 2026 (2)
439-447,9
This research was funded by the National College Students' Science and Technology Innovation Project(to R.X.,Q.G.and S.C.),and the National Key Research and Development Program of China(number 2023YFC2307503 to X.H.).
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