Detecting the patient’s need for help with machine learning based on expressions

被引:0
作者
Lauri Lahti
机构
[1] Aalto University School of Science,Department of Computer Science
来源
BMC Medical Research Methodology | / 22卷
关键词
Personalized care; Machine learning; Convolutional neural network; Self-rating; Patient; Disabled; The need for help; Interpretation; Decision making; Coronavirus;
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] SYSTEM FOR RECOGNITION OF FACIAL EXPRESSIONS USING MACHINE LEARNING
    Almeida Silva, Tharcio Thalles
    Andrade, Alexsandra Oliveira
    da Silva, Natalia Pinheiro
    2020 XVIII LATIN AMERICAN ROBOTICS SYMPOSIUM, 2020 XII BRAZILIAN SYMPOSIUM ON ROBOTICS AND 2020 XI WORKSHOP OF ROBOTICS IN EDUCATION (LARS-SBR-WRE 2020), 2020, : 162 - 167
  • [42] Detecting science-based health disinformation: a stylometric machine learning approach
    Williams, Jason A.
    Aleroud, Ahmed
    Zimmerman, Danielle
    JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE, 2023, 6 (02): : 817 - 843
  • [43] A Machine Learning Based Approach for Detecting DRDoS Attacks and Its Performance Evaluation
    Gao, Yuxuan
    Feng, Yaokai
    Kawamoto, Junpei
    Sakurai, Kouichi
    2016 11TH ASIA JOINT CONFERENCE ON INFORMATION SECURITY (ASIAJCIS), 2016, : 80 - 86
  • [44] Machine Learning: How It Can Help Nanocomputing
    Uusitalo, Mikko A.
    Peltonen, Jaakko
    Ryhaenen, Tapani
    JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2011, 8 (08) : 1347 - 1363
  • [45] StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware
    Chen, Sen
    Xue, Minhui
    Tang, Zhushou
    Xu, Lihua
    Zhu, Haojin
    ASIA CCS'16: PROCEEDINGS OF THE 11TH ACM ASIA CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, 2016, : 377 - 388
  • [46] Detecting science-based health disinformation: a stylometric machine learning approach
    Jason A. Williams
    Ahmed Aleroud
    Danielle Zimmerman
    Journal of Computational Social Science, 2023, 6 : 817 - 843
  • [47] Comparison of Machine Learning Pixel-Based Classifiers for Detecting Archaeological Ceramics
    Argyrou, Argyro
    Agapiou, Athos
    Papakonstantinou, Apostolos
    Alexakis, Dimitrios D.
    DRONES, 2023, 7 (09)
  • [48] Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers' Behavior
    Kumar, Sanjay
    Ahmed, Rafeeq
    Bharany, Salil
    Shuaib, Mohammed
    Ahmad, Tauseef
    Eldin, Elsayed Tag
    Rehman, Ateeq Ur
    Shafiq, Muhammad
    SUSTAINABILITY, 2022, 14 (21)
  • [49] Machine Learning for Detecting Fertilizer Solution Information Based on Dielectric Frequency Response
    Li, Jianian
    Cheng, Yingying
    Ma, Yongzheng
    Li, Yuecong
    Wu, Jun
    Wang, Dejin
    IEEE SENSORS JOURNAL, 2024, 24 (24) : 41717 - 41730
  • [50] A novel machine learning-based framework for detecting fake Instagram profiles
    Kaushik, Keshav
    Bhardwaj, Akashdeep
    Kumar, Manoj
    Gupta, Sachin Kumar
    Gupta, Abhishek
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (28)