Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study.

Journal: Journal of forensic and legal medicine
Published Date: Jul 4, 2017

Abstract

OBJECTIVES: Automatic text classification techniques are useful for classifying plaintext medical documents. This study aims to automatically predict the cause of death from free text forensic autopsy reports by comparing various schemes for feature extraction, term weighing or feature value representation, text classification, and feature reduction.

Authors

  • Ghulam Mujtaba
    Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia; Department of Computer Science, Sukkur Institute of Business Administration, Sukkur, Pakistan.
  • Liyana Shuib
    Department of Information System, Universiti Malaya, Kuala Lumpur, Malaysia.
  • Ram Gopal Raj
    Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia. Electronic address: ramdr@um.edu.my.
  • Retnagowri Rajandram
    Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
  • Khairunisa Shaikh
    Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Department of Community Medicine, Shaheed Mohtarma Benazir Bhutto Medical University, Larkana, Pakistan.

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