Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands.
Luiz Eduardo WildembergAline Helen da Silva CamachoRenan Lyra MirandaPaula C L EliasNina R de Castro MusolinoDebora NazatoRaquel JalladMartha K P HuayllasJose Italo S MotaTobias AlmeidaEvandro PortesAntonio Ribeiro-OliveiraLucio VilarCesar Luiz BoguszewskiAna Beatriz Winter TavaresVania S Nunes-NogueiraTânia Longo MazzucoCarolina Garcia Soares Leães RechNelma Veronica MarquesLeila ChimelliMauro CzepielewskiMarcello D BronsteinJulio AbuchamMargaret de CastroLeandro KasukiMônica Roberto GadelhaPublished in: The Journal of clinical endocrinology and metabolism (2021)
We developed a ML-based prediction model with high accuracy that has the potential to improve medical management of acromegaly, optimize biochemical control, decrease long-term morbidities and mortality, and reduce health services costs.