MACHINE LEARNING-DRIVEN TEMPORAL SUBPHENOTYPES OF EARLY SEPSIS

被引：0
|
作者：
Ahamed, Younus [1 ]
Smith, Gordon [1 ,2 ]
Kumar, Gagan
Nadkarni, Girish [3 ]
Adjeroh, Donald [1 ]
Sakhuja, Ankit [4 ]
机构：
[1] WVU, Morgantown, WV USA
[2] Northeast Georgia Phys Grp, Braselton, GA USA
[3] Icahn Sch Med, New York, NY USA
[4] West Virginia Univ, Morgantown, WV 26506 USA
来源：
CRITICAL CARE MEDICINE | 2024年 / 52卷
关键词：
D O I：
暂无
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
1434
引用
收藏
页数：1
相关论文
共 50 条
  • [31] Machine Learning-Driven Approaches for Advanced Microwave Filter Design
    Javadi, Sara
    Rezaee, Behrooz
    Nabavi, Sayyid Shahab
    Gadringer, Michael Ernst
    Boesch, Wolfgang
    ELECTRONICS, 2025, 14 (02):
  • [32] In silico drug discovery: a machine learning-driven systematic review
    Atasever, Sema
    MEDICINAL CHEMISTRY RESEARCH, 2024, 33 (09) : 1465 - 1490
  • [33] Machine learning-driven electronic identifications of single pathogenic bacteria
    Shota Hattori
    Rintaro Sekido
    Iat Wai Leong
    Makusu Tsutsui
    Akihide Arima
    Masayoshi Tanaka
    Kazumichi Yokota
    Takashi Washio
    Tomoji Kawai
    Mina Okochi
    Scientific Reports, 10
  • [34] MACHINE LEARNING-DRIVEN STRATEGIES FOR CUSTOMER RETENTION AND FINANCIAL IMPROVEMENT
    Rakesh, N.
    Mohan, B. A.
    Kumaran, U.
    Prakash, G. L.
    Arul, Rajakumar
    Thirugnanasambandam, Kalaipriyan
    ARCHIVES FOR TECHNICAL SCIENCES, 2024, (31): : 269 - 283
  • [35] Machine learning-driven electronic identifications of single pathogenic bacteria
    Hattori, Shota
    Sekido, Rintaro
    Leong, Iat Wai
    Tsutsui, Makusu
    Arima, Akihide
    Tanaka, Masayoshi
    Yokota, Kazumichi
    Washio, Takashi
    Kawai, Tomoji
    Okochi, Mina
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [36] An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers
    Fanidis, Dionysios
    Pezoulas, Vasileios C.
    Fotiadis, Dimitrios, I
    Aidinis, Vassilis
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2023, 21 : 2305 - 2315
  • [37] Development of a machine learning-driven formula for calculating fragment velocity
    Zhang, Sheng
    Wang, Zhen-Qing
    Li, Shu-Tao
    Ai, Tian-Chun
    Chen, Ye-Qing
    INTERNATIONAL JOURNAL OF IMPACT ENGINEERING, 2025, 201
  • [38] Machine learning-driven process of alumina ceramics laser machining
    Behbahani, Razyeh
    Sarvestani, Hamidreza Yazdani
    Fatehi, Erfan
    Kiyani, Elham
    Ashrafi, Behnam
    Karttunen, Mikko
    Rahmat, Meysam
    PHYSICA SCRIPTA, 2023, 98 (01)
  • [39] Machine Learning-Driven Prediction of Peritoneal Dialysis Technique Failure
    Monaghan, Caitlin
    Willetts, Joanna
    Han, Hao
    Kraus, Michael A.
    Chatoth, Dinesh K.
    Usvyat, Len A.
    Maddux, Franklin W.
    JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2021, 32 (10): : 329 - 329
  • [40] Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis
    Akshay, Akshay
    Katoch, Mitali
    Shekarchizadeh, Navid
    Abedi, Masoud
    Sharma, Ankush
    Burkhard, Fiona C.
    Adam, Rosalyn M.
    Monastyrskaya, Katia
    Gheinani, Ali Hashemi
    GIGASCIENCE, 2024, 13
12345