This　paper　is　aimed　to　study　a　method　and　feasibility　of　early　diagnostic　system　using　hypoxic　ischemic　encephalopathy　(HIE)　in　the　newborns.　Fifteen　non-invasive　indicators　with　high　sensitivity　and　specificity　were　selected　for　the　early　diagnosis　of　HIE　on　the　basis　of　related　researches　from　the　literature　and　the　researches　in　our　laboratory.　The　diagnostic　test　was　done　with　140　cases　with　the　HIE,　using　the　fussy　BP　neural　network　experiment　system.　The　initial　results　showed　that　the　accuracy　rate　was　100%　for　the　training　set　and　95%　for　the　testing　set,　and　the　error　rate　was　5%.　The　data　suggested　that　the　fuzzy　back-propagation　neural　networks,　with　the　clinical　comprehensive　indicators,　exhibited　a　high　accuracy　for　the　early　diagnosis　of　HIE.　This　method　provides　an　objective　and　convenient　new　way　for　the　early　clinical　diagnosis　of　the　HIE.