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Lingjuan Li
Lingjuan Li
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Jing Qin
Jing Qin
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Lin Ren
Lin Ren
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Shiyuan Xiang
Shiyuan Xiang
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Xiaoyun Cao
Xiaoyun Cao
Department of Neurosurgery, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Medical Brain Function and Restoration and Neural Regeneration, Fudan University, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Medical Brain Function and Restoration and Neural Regeneration, Fudan University, Shanghai, China
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Xianglan Zheng
Xianglan Zheng
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Zhiwen Yin
Zhiwen Yin
Department of Nursing, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
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Nidan Qiao
Nidan Qiao
Department of Neurosurgery, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Medical Brain Function and Restoration and Neural Regeneration, Fudan University, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Medical Brain Function and Restoration and Neural Regeneration, Fudan University, Shanghai, China
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, the use of machine learning to build predictive models has become increasingly popular in medical research. Its advantages involve automatic selection of information variables, capturing nonlinear relationships among variables, and improving predictive
Antonella Giampietro
Antonella Giampietro
Pituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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Sabrina Chiloiro
Sabrina Chiloiro
Pituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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Claudio Urbani
Claudio Urbani
Endocrinology II Unit, Department of Medicine, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
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Rosario Pivonello
Rosario Pivonello
Dipartimento Di Medicina Clinica E Chirurgia, Sezione Di Endocrinologia, Università Federico II di Napoli, Naples, Italy
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Martin Ove Carlsson
Martin Ove Carlsson
Global Medical Affairs, Pfizer Rare Disease, Brussels, Belgium
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Francesca Dassie
Francesca Dassie
Department of Medicine - DIMED, University of Padua, Padua, Italy
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Nunzia Prencipe
Nunzia Prencipe
Division of Endocrinology, Diabetology and Metabolism, Department of Medical Science, University of Turin, Turin, Italy
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Marta Ragonese
Marta Ragonese
Unit of Endocrinology, Department of Human Pathology, University of Messina, Messina, Italy
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Roy Gomez
Roy Gomez
Global Medical Affairs, Pfizer Rare Disease, Brussels, Belgium
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Simona Granato
Simona Granato
Medical Department, Pfizer Italia, Rome, Italy
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Salvatore Cannavò
Salvatore Cannavò
Unit of Endocrinology, Department of Human Pathology, University of Messina, Messina, Italy
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Silvia Grottoli
Silvia Grottoli
Division of Endocrinology, Diabetology and Metabolism, Department of Medical Science, University of Turin, Turin, Italy
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Pietro Maffei
Pietro Maffei
Department of Medicine - DIMED, University of Padua, Padua, Italy
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Annamaria Colao
Annamaria Colao
Dipartimento Di Medicina Clinica E Chirurgia, Sezione Di Endocrinologia, Università Federico II di Napoli, Naples, Italy
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Fausto Bogazzi
Fausto Bogazzi
Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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Antonio Bianchi
Antonio Bianchi
Pituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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IGF-1 value at baseline. The area under the curve (AUC) was 0.72, indicating that an acceptable predictive model was fitted. Discussion In this study, we explored factors that could influence and predict the effectiveness of pegvisomant therapy
