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Deep learning analysis of clinical course of primary nephrotic syndrome: Japan Nephrotic Syndrome Cohort Study (JNSCS).

Tomonori KimuraRyohei YamamotoMitsuaki YoshinoRyuichi SakateEnyu ImaiShoichi MaruyamaHitoshi YokoyamaHitoshi SugiyamaKosaku NittaTatsuo TsukamotoShunya UchidaAsami TakedaToshinobu SatoTakashi WadaHiroki HayashiYasuhiro AkaiMegumu FukunagaKazuhiko TsuruyaKosuke MasutaniTsuneo KontaTatsuya ShojiTakeyuki HiramatsuShunsuke GotoHirofumi TamaiSaori NishioKojiro NagaiKunihiro YamagataHideo YasudaShizunori IchidaTomohiko NaruseTomoya NishinoHiroshi SobajimaToshiyuki AkahoriTakafumi ItoYoshio TeradaRitsuko KatafuchiShouichi FujimotoHirokazu OkadaTetsushi MimuraSatoshi SuzukiYosuke SakaTadashi SofueKiyoki KitagawaYoshiro FujitaMakoto MizutaniNaoki KashiharaHiroshi SatoIchiei NaritaYoshitaka Isaka
Published in: Clinical and experimental nephrology (2022)
Four kinds of clinical courses were identified in nephrotic syndrome. This classified clinical course may help objectively grasp the actual condition or treatment resistance of individual patients with nephrotic syndrome.
Keyphrases
  • deep learning
  • physical activity
  • machine learning
  • artificial intelligence
  • convolutional neural network
  • combination therapy