With　the　development　of　Cloud　Computing,　all　walks　of　life　have　entered　a　new　era　of　intelligence,　such　as　agriculture,　medicine,　enterprise　and　other　industries.　However,　little　studies　focused　on　healthcare　and　wellness　industries.　To　help　wellness　organization　become　cyber-organization,　we　designed　the　Wellness　Cloud　Platform.　The　system　can　break　the　restrictions　of　different　places　and　regions　between　consumers　and　organizations　through　the　technology　of　cloud　computing　and　service-oriented　architecture.　In　this　paper,　a　kind　of　cloud　service　digital　ecological　environment　of　the　healthcare　service　theory　and　model　is　proposed.　By　using　collaborative　filtering　algorithm,　the　system　can　give　the　user’s　a　personalized　experience.　In　this　research,　we　analyze　algorithmic　models　of　heart　disease　prediction　algorithms　in　various　aspects.　The　results　showed　that　the　GBDT　algorithm　can　play　a　good　prediction　effect.　©　2023　Copyright　held　by　the　owner/author(s).