Machine learning-based clinical outcome prediction in surgery for acromegaly

被引:0
|
作者
Olivier Zanier
Matteo Zoli
Victor E. Staartjes
Federica Guaraldi
Sofia Asioli
Arianna Rustici
Valentino Marino Picciola
Ernesto Pasquini
Marco Faustini-Fustini
Zoran Erlic
Luca Regli
Diego Mazzatenta
Carlo Serra
机构
[1] University Hospital Zurich,Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center
[2] University of Zurich,IRCCS Istituto delle Scienze Neurologiche di Bologna
[3] Programma Neurochirurgia Ipofisi-Pituitary Unit,Department of Biomedical and Neuromotor Sciences (DIBINEM)
[4] University of Bologna,Azienda USL di Bologna
[5] Anatomic Pathology Unit,Department of Experimental, Diagnostic and Specialty Medicine (DIMES)
[6] University of Bologna,University of Bologna
[7] School of Medicine and Surgery,Azienda USL di Bologna
[8] Bellaria Hospital,Department of Endocrinology, Diabetology and Clinical Nutrition
[9] ENT Unit,undefined
[10] University Hospital Zurich (USZ) and University of Zurich (UZH),undefined
来源
Endocrine | 2022年 / 75卷
关键词
Pituitary; Predictive analytics; Outcome prediction; Machine learning; Acromegaly; Neurosurgery;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:508 / 515
页数:7
相关论文
共 50 条
  • [21] Machine learning-based mortality prediction: how to be connected to daily clinical practice?
    Kim, Won Ho
    Kim, Jin-Tae
    EUROPEAN HEART JOURNAL, 2020, 41 (30) : 2913 - 2913
  • [22] Machine learning-based modeling of big clinical trials data for adverse outcome prediction: A case study of death events
    Tong, Ling
    Luo, Jake
    Cisler, Ron A.
    Cantor, Michael
    2019 IEEE 43RD ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 2, 2019, : 269 - 274
  • [23] Development and validation of machine learning-based predictive model for clinical outcome of decompression surgery for lumbar spinal canal stenosis
    Yagi, Mitsuru
    Michikawa, Takehiro
    Yamamoto, Tatsuya
    Iga, Takahito
    Ogura, Yoji
    Tachibana, Atsuko
    Miyamoto, Azusa
    Suzuki, Satoshi
    Nori, Satoshi
    Takahashi, Yohei
    Tsuji, Osahiko
    Nagoshi, Narihito
    Kono, Hitoshi
    Ogawa, Jun
    Matsumoto, Morio
    Nakamura, Masaya
    Watanabe, Kota
    SPINE JOURNAL, 2022, 22 (11): : 1768 - 1777
  • [24] Machine learning-based model for prediction of outcomes in palatal surgery for obstructive sleep apnoea
    Yang, Seong J.
    Kim, Jong Seung
    Chung, Sang Keun
    Song, Yong Yun
    CLINICAL OTOLARYNGOLOGY, 2021, 46 (06) : 1242 - 1246
  • [25] Machine learning-based prediction of massive perioperative allogeneic blood transfusion in cardiac surgery
    Tschoellitsch, Thomas
    Boeck, Carl
    Mahecic, Tina Tomic
    Hofmann, Axel
    Meier, Jens
    EUROPEAN JOURNAL OF ANAESTHESIOLOGY, 2022, 39 (09) : 766 - 773
  • [26] Machine learning-based prediction model for postoperative delirium in non-cardiac surgery
    Lee, Dong Yun
    Oh, Ah Ran
    Park, Jungchan
    Lee, Seung-Hwa
    Choi, Byungjin
    Yang, Kwangmo
    Kim, Ha Yeon
    Park, Rae Woong
    BMC PSYCHIATRY, 2023, 23 (01)
  • [27] Machine learning-based prediction model for postoperative delirium in non-cardiac surgery
    Dong Yun Lee
    Ah Ran Oh
    Jungchan Park
    Seung-Hwa Lee
    Byungjin Choi
    Kwangmo Yang
    Ha Yeon Kim
    Rae Woong Park
    BMC Psychiatry, 23
  • [28] Evaluation of machine learning-based classification of clinical impairment and prediction of clinical worsening in multiple sclerosis
    Noteboom, Samantha
    Seiler, Moritz
    Chien, Claudia
    Rane, Roshan P.
    Barkhof, Frederik
    Strijbis, Eva M. M.
    Paul, Friedemann
    Schoonheim, Menno M.
    Ritter, Kerstin
    JOURNAL OF NEUROLOGY, 2024, 271 (08) : 5577 - 5589
  • [29] Machine Learning and Deep Learning-Based Students’ Grade Prediction
    Korchi A.
    Messaoudi F.
    Abatal A.
    Manzali Y.
    Operations Research Forum, 4 (4)
  • [30] Machine learning-based prediction models for parathyroid carcinoma using pre-surgery cognitive function and clinical features
    Wang, Yuting
    Wei, Bojun
    Zhao, Teng
    Shen, Hong
    Liu, Xing
    Wang, Jiacheng
    Wang, Qian
    Shen, Rongfang
    Feng, Dalin
    SCIENTIFIC REPORTS, 2023, 13 (01)