【导语】本文是一篇说明文。主要介绍了科学家利用人工智能分析卫星传输的数据，加工之后可以确认地区性的营养缺乏。
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Morethantwobillionpeopleworldwide,including340millionchildrensuffermicronutrientdeficiencies(缺乏).Butdiagnosing(诊断)themearlyforeffectivetreatmentrequiresexpensive,timeconsumingblooddrawsandlaboratorytests.
Newresearchprovidesamoreefficientapproach.ComputerscientistElizabethBondiandhercolleaguesatHarvardUniversityusedpubliclyavailablesatellitedataandartificialintelligencetolocateareaswherepopulationsareathighriskofmicronutrientdeficiencies.Thisanalysiscouldpotentiallyhelppublichealthagenciestointerveneearly,thusbenefitingthelocalpeople.
ExistingAIsystemscanusesatellitedatatopredictregionalfoodsecurityissues,buttheytypicallyrelyondirectlyobservablefeatures.YetBondiandhercolleagueshavefoundthatcombiningdatasuchasvegetationcover,weatherandwaterpresencecansuggestwherepopulationswilllackiron,vitaminB12orvitaminA.
Predictionsofregional-levelmicronutrientdeficiencyinpopulationsmet,andsometimeswentbeyond,theaccuracyofestimatesbasedonsurveysadministeredbylocalpublichealthofficials.“Ourworkshowsamethodthatallowsforidentificationandtargetingofpopulationsfornutritionalsupport.”Bondisays.
“ThisisanovelcontributionthathighlightsAI’spotentialtoadvancepublichealth,”saysEmoryUniversityepidemiologistChristineEkenga,whowasnotinvolvedwiththestudy,“theauthorshaveprovedamethodthatcanovercomethesechallenges.”
12.Whatdoestheunderlinedword“intervene”inparagraph2probablymean