A MACHINE LEARNING ALGORITHM TO PREDICT SHORT-TERM PHENOCONVERSION FROM POLYSOMNOGRAPHY IN ISOLATED REM SLEEP BEHAVIOR DISORDER

被引：0
|
作者：
Portscher, A. [1 ,2 ]
Angerbauer, R. [1 ]
Ibrahim, A. [1 ]
Feuerstein, S. [1 ,2 ]
Egger, K. [1 ]
Brandauer, E. [1 ]
Bergmann, M. [1 ]
Hoegl, B. [1 ]
Stefani, A. [1 ]
Rodriguez-Sanchez, A. [2 ]
Cesari, M. [1 ]
机构：
[1] Med Univ Innsbruck, Dept Neurol, Innsbruck, Austria
[2] Univ Innsbruck, Dept Comp Sci, Innsbruck, Austria
来源：
SLEEP MEDICINE | 2024年 / 115卷
关键词：
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
引用
收藏
页码：300 / 301
页数：2
相关论文
共 50 条
  • [31] Machine learning to predict overall short-term mortality in cutaneous melanoma
    Cozzolino, C.
    Buja, A.
    Rugge, M.
    Miatton, A.
    Zorzi, M.
    Vecchiato, A.
    Del Fiore, P.
    Tropea, S.
    Brazzale, A.
    Damiani, G.
    dall'Olmo, L.
    Rossi, C. R.
    Mocellin, S.
    DISCOVER ONCOLOGY, 2023, 14 (01)
  • [32] Prospective validation of a machine learning algorithm to predict short-term mortality among outpatients with cancer.
    Manz, Chris
    Chivers, Corey
    Liu, Manqing
    Regli, Susan B.
    Changolkar, Sujatha
    Evans, Chalanda N.
    Rareshide, Charles A. L.
    Draugelis, Michael
    Braun, Jennifer
    Navathe, Amol S.
    Kumar, Pallavi
    Bekelman, Justin E.
    Patel, Mitesh S.
    O'Connor, Nina
    Schuchter, Lynn Mara
    Shulman, Lawrence N.
    Parikh, Ravi Bharat
    JOURNAL OF CLINICAL ONCOLOGY, 2020, 38 (15)
  • [33] Long-term follow-up of cognition in isolated REM sleep behavior disorder
    Hong, Jung Kyung
    Lee, Minji
    Han, Sojung
    Park, Chae Rin
    Yoon, In-Young
    JOURNAL OF SLEEP RESEARCH, 2024, 33
  • [34] Deep Learning-Based Neuromelanin MRI Changes of Isolated REM Sleep Behavior Disorder
    Gaurav, Rahul
    Pyatigorskaya, Nadya
    Biondetti, Emma
    Valabregue, Romain
    Yahia-Cherif, Lydia
    Mangone, Graziella
    Leu-Semenescu, Smaranda
    Corvol, Jean-Christophe
    Vidailhet, Marie
    Arnulf, Isabelle
    Lehericy, Stephane
    MOVEMENT DISORDERS, 2022, 37 (05) : 1064 - 1069
  • [35] Development of a Machine Learning Algorithm Using Electronic Medical Records to Predict Short-Term Stroke Risk Locally
    Abidi, Emna
    Lee-St John, Terrence J.
    Kanwar, Oshin
    Piechowski-Jozwiak, Bartlomiej
    JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS, 2025, 392 (03):
  • [36] CEREBROSPINAL-FLUID BIOMARKERS AND BLOOD-BRAIN BARRIER ALTERATION MAY BE USEFUL TO PREDICT THE PHENOCONVERSION OF PATIENTS WITH IDIOPATHIC/ISOLATED REM SLEEP BEHAVIOUR DISORDER
    Fernandes, M.
    Maio, S.
    Placidi, F.
    Izzi, F.
    Spanetta, M.
    De Masi, C.
    Lupo, C.
    Calvello, C.
    Nuccetelli, M.
    Bernardini, S.
    Mercuri, N. Biagio
    Liguori, C.
    SLEEP MEDICINE, 2022, 100 : S225 - S225
  • [37] AT-HOME DETECTION OF REM SLEEP BEHAVIOR DISORDER USING A MACHINE LEARNING APPROACH AND WRIST ACTIGRAPHY
    Brink-Kjaer, Andreas
    Gupta, Niraj
    Marin, Eric
    Zitser, Jenny
    Sum-Ping, Oliver
    Hekmat, Anahid
    Bueno, Flavia
    Cahuas, Ana
    Jennum, Poul
    Sorensen, Helge
    Mignot, Emmanuel
    During, Emmanuel
    SLEEP, 2022, 45 : A243 - A244
  • [38] APPLICATION OF MACHINE-LEARNING METHODS FOR IDENTIFICATION OF COGNITIVE MARKERS OF DEMENTIA IN REM SLEEP BEHAVIOR DISORDER
    Berrada, L. Mekki
    Deghan, A.
    Marchand, D. Genier
    Postuma, R. B.
    Montplaisir, J.
    Jerbi, K.
    Gagnon, J. -F.
    SLEEP MEDICINE, 2017, 40 : E102 - E102
  • [39] Application of machine learning analysis based on diffusion tensor imaging to identify REM sleep behavior disorder
    Lee, Dong Ah
    Lee, Ho-Joon
    Kim, Hyung Chan
    Park, Kang Min
    SLEEP AND BREATHING, 2022, 26 (02) : 633 - 640
  • [40] Application of machine learning analysis based on diffusion tensor imaging to identify REM sleep behavior disorder
    Dong Ah Lee
    Ho-Joon Lee
    Hyung Chan Kim
    Kang Min Park
    Sleep and Breathing, 2022, 26 : 633 - 640
12345