{"id":19,"date":"2026-03-21T11:22:12","date_gmt":"2026-03-21T10:22:12","guid":{"rendered":"https:\/\/journalofartificialintelligence.com\/zh-cn\/2026\/03\/21\/5%e5%b2%81%e7%9a%84%e4%bd%93%e9%87%8d%e8%83%bd%e5%90%a6%e9%a2%84%e6%b5%8b%e6%88%90%e5%b9%b4%e6%9c%9f%e7%9a%84%e8%82%a5%e8%83%96%ef%bc%9f\/"},"modified":"2026-03-21T11:24:09","modified_gmt":"2026-03-21T10:24:09","slug":"5%e5%b2%81%e7%9a%84%e4%bd%93%e9%87%8d%e8%83%bd%e5%90%a6%e9%a2%84%e6%b5%8b%e6%88%90%e5%b9%b4%e6%9c%9f%e7%9a%84%e8%82%a5%e8%83%96%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/journalofartificialintelligence.com\/zh-cn\/2026\/03\/21\/5%e5%b2%81%e7%9a%84%e4%bd%93%e9%87%8d%e8%83%bd%e5%90%a6%e9%a2%84%e6%b5%8b%e6%88%90%e5%b9%b4%e6%9c%9f%e7%9a%84%e8%82%a5%e8%83%96%ef%bc%9f\/","title":{"rendered":"5\u5c81\u7684\u4f53\u91cd\u80fd\u5426\u9884\u6d4b\u6210\u5e74\u671f\u7684\u80a5\u80d6\uff1f"},"content":{"rendered":"

`<\/p>\n

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`<\/p>\n

\n

Sources et cr\u00e9dits<\/h2>\n

\u00c9tude source<\/h3>\n

DOI\u00a0:<\/strong> https:\/\/doi.org\/10.1038\/s41366-026-02050-1<\/a><\/p>\n

Titre\u00a0:<\/strong> Longitudinal prediction of BMI using explainable AI: integrating polygenic scores, maternal, early-life and familial factors<\/p>\n

Revue : <\/strong> International Journal of Obesity<\/p>\n

\u00c9diteur : <\/strong> Springer Science and Business Media LLC<\/p>\n

Auteurs : <\/strong> Fuling Chen; Phillip E. Melton; Kevin Vinsen; Trevor Mori; Lawrence Beilin; Rae-Chi Huang<\/p>\n","protected":false},"excerpt":{"rendered":"

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