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A novel machine learning model for the prediction of avian haemosporidian infection from morphological data

Ruitian Xu Qingfeng Gan Shiqiong Chuan Xi Huang

鸟类学研究（英文版）2026，Vol.17Issue(2)：439-447,9.

鸟类学研究（英文版）2026，Vol.17Issue(2)：439-447,9.DOI:10.1016/j.avrs.2026.100348

A novel machine learning model for the prediction of avian haemosporidian infection from morphological data

Ruitian Xu ¹Qingfeng Gan ¹Shiqiong Chuan ¹Xi Huang¹

作者信息

1. MOE Key Laboratory for Biodiversity Science and Ecological Engineering,College of Life Sciences,Beijing Normal University,Beijing,100875,China
折叠

摘要

关键词

Avian/Haemosporidian/Infection prediction/Machine learning/Morphological traits/XGBoost

Key words

Avian/Haemosporidian/Infection prediction/Machine learning/Morphological traits/XGBoost

引用本文复制引用

Ruitian Xu,Qingfeng Gan,Shiqiong Chuan,Xi Huang..A novel machine learning model for the prediction of avian haemosporidian infection from morphological data[J].鸟类学研究（英文版）,2026,17(2):439-447,9.

基金项目

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.). （to R.X.,Q.G.and S.C.）

鸟类学研究（英文版）

ISSN：2055-6187

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