Mitigating urinary incontinence condition using machine learning

被引：0
|
作者：
Haneen Ali
Abdulaziz Ahmed
Carlos Olivos
Khaled Khamis
Jia Liu
机构：
[1] Auburn University,Health Services Administration Program & Department of Industrial and Systems Engineering
[2] The University of Alabama at Birmingham,Department of Health Services Administration, School of Health Professions
[3] Auburn University,Department of Industrial and Systems Engineering, Samuel Ginn College of Engineering
[4] Universidad Católica del Norte,Departamento de Ingeniería Industrial
来源：
BMC Medical Informatics and Decision Making | / 22卷
关键词：
Machine learning; Urinary incontinence; Urination; Bladder voiding;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Machine Learning Approaches for Road Condition Monitoring Using Synthetic Aperture Radar
    Rischioni, Lucas Germano
    Babu, Arun
    Baumgartner, Stefan V. V.
    Krieger, Gerhard
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 16 : 3070 - 3082
  • [42] Condition-based maintenance using machine learning and role of interpretability: a review
    Jeetesh Sharma
    Murari Lal Mittal
    Gunjan Soni
    International Journal of System Assurance Engineering and Management, 2024, 15 : 1345 - 1360
  • [43] Prediction of Chronic Venous Insufficiency Condition Using Infrared Thermography and Machine Learning
    Krishnan, Nithyakalyani
    Muthu, P.
    COMMUNICATION AND INTELLIGENT SYSTEMS, VOL 3, ICCIS 2023, 2024, 969 : 165 - 176
  • [44] Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances
    Surucu, Onur
    Gadsden, Stephen Andrew
    Yawney, John
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 221
  • [45] Trends and Challenges in Intelligent Condition Monitoring of Electrical Machines Using Machine Learning
    Kudelina, Karolina
    Vaimann, Toomas
    Asad, Bilal
    Rassolkin, Anton
    Kallaste, Ants
    Demidova, Galina
    APPLIED SCIENCES-BASEL, 2021, 11 (06):
  • [46] Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach
    Kochukrishnan, Praveen
    Rameshkumar, K.
    Srihari, S.
    SAE INTERNATIONAL JOURNAL OF ENGINES, 2023, 16 (07) : 923 - 942
  • [47] Condition-based maintenance using machine learning and role of interpretability: a review
    Sharma, Jeetesh
    Mittal, Murari Lal
    Soni, Gunjan
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2024, 15 (04) : 1345 - 1360
  • [48] Predictive Maintenance of Electrical Machines using Machine Learning and Condition Monitoring Data
    Ragavendiran, S. D. Prabu
    Shahakar, Deepak
    Kumari, D. Suvarna
    Yadav, Ajay Singh
    Arthi, P. M.
    Rajesha, N.
    2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [49] Mitigating Risk in the Application of Machine Learning to the Diagnosis of Bronchopulmonary Diseases
    Yusupova, N. I.
    Bogdanov, M. R.
    Smetanina, O. N.
    SCIENTIFIC AND TECHNICAL INFORMATION PROCESSING, 2024, 51 (05) : 487 - 496
  • [50] Mitigating Blackouts via Smart Relays: A Machine Learning Approach
    Zhang, Yi
    Ilic, Marija D.
    Tonguz, Ozan K.
    PROCEEDINGS OF THE IEEE, 2011, 99 (01) : 94 - 118
12345