Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error

被引：0
|
作者：
Alexandra Bannach-Brown
Piotr Przybyła
James Thomas
Andrew S. C. Rice
Sophia Ananiadou
Jing Liao
Malcolm Robert Macleod
机构：
[1] University of Edinburgh,Centre for Clinical Brain Sciences
[2] University of Manchester,National Centre for Text Mining, School of Computer Science
[3] University College London,EPPI
[4] Imperial College,Centre, Department of Social Science
[5] Aarhus University,Pain Research, Department of Surgery and Cancer
[6] Bond University,Translational Neuropsychiatry Unit
来源：
Systematic Reviews | / 8卷
关键词：
Machine learning; Systematic review; Analysis of human error; Citation screening; Automation tools;
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 algorithms for the prognostication of abdominal aortic aneurysm progression: a systematic review
    Ullah, Nazifa
    Kiu Chou, Wing
    Vardanyan, Robert
    Arjomandi Rad, Arian
    Shah, Viraj
    Torabi, Saeed
    Avabdze, Dani
    Airapetyan, Arkady A.
    Zubarevich, Alina
    Weymann, Alexander
    Ruhparwar, Arjang
    Miller, George
    Malawana, Johann
    MINERVA SURGERY, 2024, 79 (02): : 219 - 227
  • [42] Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review
    Karan Daga
    Siddharth Agarwal
    Zaeem Moti
    Matthew B. K. Lee
    Munaib Din
    David Wood
    Marc Modat
    Thomas C. Booth
    Clinical Neuroradiology, 2025, 35 (1) : 3 - 16
  • [43] Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis
    Masoumeh Vali
    Hossein Motahari Nezhad
    Levente Kovacs
    Amir H Gandomi
    BMC Medical Informatics and Decision Making, 25 (1)
  • [44] Machine-learning Algorithms for Ischemic Heart Disease Prediction: A Systematic Review
    Hani, Salam H. Bani
    Ahmad, Muayyad M.
    CURRENT CARDIOLOGY REVIEWS, 2023, 19 (01) : 87 - 99
  • [45] The Application of Wearable Sensors and Machine Learning Algorithms in Rehabilitation Training: A Systematic Review
    Wei, Suyao
    Wu, Zhihui
    SENSORS, 2023, 23 (18)
  • [46] Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care A Systematic Review
    Rakers, Margot M.
    van Buchem, Marieke M.
    Kucenko, Sergej
    de Hond, Anne
    Kant, Ilse
    van Smeden, Maarten
    Moons, Karel G. M.
    Leeuwenberg, Artuur M.
    Chavannes, Niels
    Villalobos-Quesada, Maria
    van Os, Hendrikus J. A.
    JAMA NETWORK OPEN, 2024, 7 (09)
  • [47] Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies
    Ehtemam, Houriyeh
    Esfahlani, Shabnam Sadeghi
    Sanaei, Alireza
    Ghaemi, Mohammad Mehdi
    Hajesmaeel-Gohari, Sadrieh
    Rahimisadegh, Rohaneh
    Bahaadinbeigy, Kambiz
    Ghasemian, Fahimeh
    Shirvani, Hassan
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2024, 24 (01)
  • [48] Systematic Review of Intervention Studies Aiming at Reducing Inequality in Dental Caries among Children
    Shen, Anqi
    Bernabe, Eduardo
    Sabbah, Wael
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (03) : 1 - 11
  • [49] Intervention for reducing anxiety during screening mammography A protocol for systematic review and meta-analysis
    Shang, Yi
    Song, Zi-Wei
    Du, Li
    Yang, Li-Ping
    Zhang, Zhi-Gang
    MEDICINE, 2020, 99 (41)
  • [50] Reducing the Anxiety and Concern of Pregnant Women during Antenatal Anomaly Screening Tests: A Systematic Review
    Khakbazan, Zohreh
    Farnam, Farnaz
    Hantoushzadeh, Sedigheh
    Abdollahi, Parsa
    Arjmandifar, Mitra
    INTERNATIONAL JOURNAL OF WOMENS HEALTH AND REPRODUCTION SCIENCES, 2022, 10 (04): : 172 - 179
12345