A Question answering system to answer procedural and causal questions in medicine
Date of Publication
2011
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Nathalie Rose Lim-Cheng
Defense Panel Member
Allan B. Borra
Ralph Regalado
Abstract/Summary
Existing QA systems on medicine do not answer procedural and effect questions. This research is focused on analyzing, interpreting and answering procedural and causal questions that is commonly raised to medical practitioners in the emergency rooms and in the barrios. The system handles only basic WH-questions such as what, when, why and how. The system also accepts command-type questions using keywords such as List, Give, State and Define. Evaluation showed that the system is able to answer causal questions- with an accuracy of 38.46% wherein the top ranked is correct, 15.38% wherein all answers are correct, 61.54% wherein partial answers are correct. For procedural questions, the system produced and accuracy of 72.73% wherein the top ranked is correct, 72.73% wherein all answers are correct, 90.91% wherein partial answers are correct. Even with need for improvements, medical practitioners recognize the potential of this system as an aid to education and review of students and peers.
Abstract Format
html
Language
English
Format
Accession Number
TU18532
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1v. various foliations ; 28 cm.
Recommended Citation
Daella, P., Dimayacyac, K., Liao, M., & Velarde, A. (2011). A Question answering system to answer procedural and causal questions in medicine. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/12095
