A USER-FRIENDLY WEB APPLICATION FOR PREDICTING OUTCOMES IN PATIENTS WITH ACUTE TRAUMATIC SUBDURAL HEMATOMA USING MACHINE LEARNING ALGORITHMS

被引：0
|
作者：
Karabacak, Mert [1 ]
Margetis, Konstantinos [1 ]
机构：
[1] Mt Sinai Hlth Syst, New York, NY USA
来源：
JOURNAL OF NEUROTRAUMA | 2023年 / 40卷 / 15-16期
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：
P04.133
引用
收藏
页码：A75 / A75
页数：1
相关论文
共 50 条
  • [31] ScabyNet, a user-friendly application for detecting common scab in potato tubers using deep learning and morphological traits
    Fernanda Leiva
    Florent Abdelghafour
    Muath Alsheikh
    Nina E. Nagy
    Jahn Davik
    Aakash Chawade
    Scientific Reports, 14
  • [32] A Machine Learning-Based User-Friendly Approach for Prediction of Traffic-Induced Vibrations and its Application for Parametric Study
    Javaid M.F.
    Azam R.
    Saqib S.
    Riaz M.R.
    Journal of The Institution of Engineers (India): Series A, 2024, 105 (01) : 1 - 13
  • [33] The Pixel Anomaly Detection Tool: a user-friendly GUI for classifying detector frames using machine-learning approaches
    Ketawala, Gihan
    Reiter, Caitlin M.
    Fromme, Petra
    Botha, Sabine
    JOURNAL OF APPLIED CRYSTALLOGRAPHY, 2024, 57 (Pt 2) : 529 - 538
  • [34] Prognosis prediction in traumatic brain injury patients using machine learning algorithms
    Khalili, Hosseinali
    Rismani, Maziyar
    Nematollahi, Mohammad Ali
    Masoudi, Mohammad Sadegh
    Asadollahi, Arefeh
    Taheri, Reza
    Pourmontaseri, Hossein
    Valibeygi, Adib
    Roshanzamir, Mohamad
    Alizadehsani, Roohallah
    Niakan, Amin
    Andishgar, Aref
    Islam, Sheikh Mohammed Shariful
    Acharya, U. Rajendra
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [35] Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms
    Tarun Gangil
    Amina Beevi Shahabuddin
    B. Dinesh Rao
    Krishnamoorthy Palanisamy
    Biswaroop Chakrabarti
    Krishna Sharan
    Journal of Big Data, 9
  • [36] Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms
    Gangil, Tarun
    Shahabuddin, Amina Beevi
    Rao, B. Dinesh
    Palanisamy, Krishnamoorthy
    Chakrabarti, Biswaroop
    Sharan, Krishna
    JOURNAL OF BIG DATA, 2022, 9 (01)
  • [37] Prognosis prediction in traumatic brain injury patients using machine learning algorithms
    Miri, MirMohammad
    Cone, Jamie
    ARCHIVES OF TRAUMA RESEARCH, 2023, 12 (04) : 217 - 219
  • [38] Prognosis prediction in traumatic brain injury patients using machine learning algorithms
    Hosseinali Khalili
    Maziyar Rismani
    Mohammad Ali Nematollahi
    Mohammad Sadegh Masoudi
    Arefeh Asadollahi
    Reza Taheri
    Hossein Pourmontaseri
    Adib Valibeygi
    Mohamad Roshanzamir
    Roohallah Alizadehsani
    Amin Niakan
    Aref Andishgar
    Sheikh Mohammed Shariful Islam
    U. Rajendra Acharya
    Scientific Reports, 13
  • [39] Modeling Outcomes in Acute Ischemic Stroke Using Machine Learning Algorithms.
    Vargas, Jan
    STROKE, 2019, 50
  • [40] Web-based calculator using machine learning to predict intracranial hematoma in geriatric traumatic brain injury
    Tunthanathip, Thara
    Phuenpathom, Nakornchai
    Jongjit, Apisorn
    JOURNAL OF HOSPITAL MANAGEMENT AND HEALTH POLICY, 2023, 7
12345