Machine Learning-Derived Personalized Fluid Intake Strategy in SepsisAssociated AKI

被引:0
|
作者
Oh, Wonsuk [1 ]
Takkavatakarn, Kullaya [1 ]
Kohli-Seth, Roopa D. [1 ]
Nadkarni, Girish N. [1 ]
Sakhuja, Ankit [1 ]
机构
[1] Icahn Sch Med Mt Sinai, New York, NY 10029 USA
来源
关键词
D O I
10.1681/ASN.202408eh1v06
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
FR-PO072
引用
收藏
页数:2
相关论文
共 50 条
  • [21] Clinical Utility of Machine Learning-Derived Vocal Biomarkers in the Management of Heart Failure
    Okada, Kozo
    Mizuguchi, Daisuke
    Omiya, Yasuhiro
    Endo, Koji
    Kobayashi, Yusuke
    Iwahashi, Noriaki
    Kosuge, Masami
    Ebina, Toshiaki
    Tamura, Kouichi
    Sugano, Teruyasu
    Ishigami, Tomoaki
    Kimura, Kazuo
    Hibi, Kiyoshi
    CIRCULATION REPORTS, 2024, 6 (08) : 303 - 312
  • [22] Serum eosinophil-derived neurotoxin levels in machine learning-derived respiratory symptom clusters in adults
    Lisik, Daniil
    Ermis, Saliha Selin Ozuygur
    Malmhall, Carina
    Basna, Rani
    Abohalaka, Reshed
    Ercan, Selin
    Bashir, Muwada Bashir Awad
    Jadhav, Radhika
    Ekerljung, Linda
    Radinger, Madeleine
    Lotvall, Jan
    Wennergren, Goran
    Backman, Helena
    Borres, Magnus
    Kankaanranta, Hannu
    Nwaru, Bright Ibeabughichi
    EUROPEAN RESPIRATORY JOURNAL, 2024, 64
  • [23] Transferable and Extensible Machine Learning-Derived Atomic Charges for Modeling Hybrid Nanoporous Materials
    Korolev, Vadim V.
    Mitrofanov, Artem
    Marchenko, Ekaterina, I
    Eremin, Nickolay N.
    Tkachenko, Valery
    Kalmykov, Stepan N.
    CHEMISTRY OF MATERIALS, 2020, 32 (18) : 7822 - 7831
  • [24] Machine learning-derived asthma phenotypes in a Swedish adult population- representative sample
    Bashir, Muwada
    Lisik, Daniil
    Ermis, Saliha Selin Ozuygur
    Basna, Rani
    Abohalaka, Reshed
    Ercan, Selin
    Backman, Helena
    Pullerits, Teet
    Mincheva, Roxana
    Wennergren, Goran
    Radinger, Madeleine
    Lotvall, Jan
    Ekerljung, Linda
    Kankaanranta, Hannu
    Nwaru, Bright I.
    EUROPEAN RESPIRATORY JOURNAL, 2024, 64
  • [25] Benchmarking cesarean delivery rates using machine learning-derived optimal classification trees
    Gimovsky, Alexis C.
    Zhuo, Daisy
    Levine, Jordan
    Dunn, Jack
    Amarm, Maxime
    Peaceman, Alan
    HEALTH SERVICES RESEARCH, 2022, 57 (04) : 796 - 805
  • [26] Benchmarking in Congenital Heart Surgery Using Machine Learning-Derived Optimal Classification Trees
    Bertsimas, Dimitris
    Zhuo, Daisy
    Levine, Jordan
    Dunn, Jack
    Tobota, Zdzislaw
    Maruszewski, Bohdan
    Fragata, Jose
    Sarris, George E.
    WORLD JOURNAL FOR PEDIATRIC AND CONGENITAL HEART SURGERY, 2022, 13 (01) : 23 - 35
  • [27] Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals
    Kobayashi, Masatake
    Huttin, Olivier
    Magnusson, Martin
    Ferreira, Joao Pedro
    Bozec, Erwan
    Huby, Anne-Cecile
    Preud'homme, Gregoire
    Duarte, Kevin
    Lamiral, Zohra
    Dalleau, Kevin
    Bresso, Emmanuel
    Smail-Tabbone, Malika
    Devignes, Marie-Dominique
    Nilsson, Peter M.
    Leosdottir, Margret
    Boivin, Jean-Marc
    Zannad, Faiez
    Rossignol, Patrick
    Girerd, Nicolas
    JACC-CARDIOVASCULAR IMAGING, 2022, 15 (02) : 193 - 208
  • [28] Radiological classification of dementia from anatomical MRI assisted by machine learning-derived maps
    Chague, Pierre
    Marro, Beatrice
    Fadili, Sarah
    Houot, Marion
    Morin, Alexandre
    Samper-Gonzalez, Jorge
    Beunon, Paul
    Arrive, Lionel
    Dormont, Didier
    Dubois, Bruno
    Teichmann, Marc
    Epelbaum, Stephane
    Colliot, Olivier
    JOURNAL OF NEURORADIOLOGY, 2021, 48 (06) : 412 - 418
  • [29] Clinical Utility of Machine Learning-Derived Vocal-Biomarker in the Management of Heart Failure
    Okada, Kozo
    Omiya, Yasuhiro
    Mizuguchi, Daisuke
    Endo, Koji
    Kobayashi, Yusuke
    Matsuzawa, Yasushi
    Iwahashi, Noriaki
    Kosuge, Masami
    Ebina, Toshiaki
    Tamura, Kouichi
    Hibi, Kiyoshi
    CIRCULATION, 2022, 146
  • [30] Machine Learning-Derived Severe Weather Probabilities from a Warn-on-Forecast System
    Clark, Adam J.
    Loken, Eric D.
    WEATHER AND FORECASTING, 2022, 37 (10) : 1721 - 1740