TY - GEN
T1 - An ontology-based decision support system for nutrition deficiency
AU - Tejaswini, H.
AU - Manohara Pai, M. M.
AU - Pai, Radhika M.
AU - Attigeri, Girija
AU - Shenoy, Revathi P.
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/10/30
Y1 - 2020/10/30
N2 - Storing the patient's clinical test reports for analysis differs from clinic to clinic as most clinics store the details in customized software or freely available spreadsheets. In the nutrition test report, the test results show the levels, thresholds that doctors analyze and diagnose the type of deficiency. In many situations, the patients have a dilemma about the doctor's advice that results in a second opinion. Hence a simple decision support system is a necessity to help the doctor to analyze the laboratory test report data and prescribe the right treatment. This research proposes a nutrition deficiency decision support framework that models a biochemistry test report using an ontology and automatic nutrition deficiency classification. The resulting system is useful in hospitals for the automatic classification of nutritional deficiency.
AB - Storing the patient's clinical test reports for analysis differs from clinic to clinic as most clinics store the details in customized software or freely available spreadsheets. In the nutrition test report, the test results show the levels, thresholds that doctors analyze and diagnose the type of deficiency. In many situations, the patients have a dilemma about the doctor's advice that results in a second opinion. Hence a simple decision support system is a necessity to help the doctor to analyze the laboratory test report data and prescribe the right treatment. This research proposes a nutrition deficiency decision support framework that models a biochemistry test report using an ontology and automatic nutrition deficiency classification. The resulting system is useful in hospitals for the automatic classification of nutritional deficiency.
UR - http://www.scopus.com/inward/record.url?scp=85099715615&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099715615&partnerID=8YFLogxK
U2 - 10.1109/DISCOVER50404.2020.9278069
DO - 10.1109/DISCOVER50404.2020.9278069
M3 - Conference contribution
AN - SCOPUS:85099715615
T3 - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
SP - 267
EP - 272
BT - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020
Y2 - 30 October 2020 through 31 October 2020
ER -