New machine-learning models outperform conventional risk assessment tools in Gastrointestinal bleeding
Eszter Boros(University of Wisconsin–Madison), Bálint Erőss(Semmelweis University), Nóra Vörhendi(University of Pecs), Edina Tari(Semmelweis University), Áron Vincze(University of Pecs), Dániel Pálinkás(Semmelweis University), Imre Szabó(University of Pecs), Andrea Szentesi(University of Pecs), Orsolya Anna Simon(University of Pecs), Ferenc Izbéki(Fejér Megyei Szent György Egyetemi Oktató Kórház), Endre Botond Gagyi(Semmelweis University), Péter Hegyi(Semmelweis University), Roland Hágendorn(University of Pecs), Roland Molontay(Budapest University of Technology and Economics), József Pintér(Budapest University of Technology and Economics), Vivien Vass(University of Pecs), Zsolt Abonyi-Tóth(Semmelweis University), Brigitta Teutsch(Semmelweis University), Kristóf Gergely Prószéky(Budapest University of Technology and Economics), Levente Frim(University of Pecs)
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