Acquiring guideline-enabled data driven clinical knowledge model using formally verified refined knowledge acquisition method

Maqbool Hussain; Muhammad Afzal; Khalid M. Malik; Taqdir Ali; Wajahat Ali Khan; Muhammad Irfan; Arif Jamshrf; Sungyoung Lee

doi:10.1016/j.cmpb.2020.105701

Acquiring guideline-enabled data driven clinical knowledge model using formally verified refined knowledge acquisition method

Maqbool Hussain^*, Muhammad Afzal, Khalid M. Malik^*, Taqdir Ali, Wajahat Ali Khan, Muhammad Irfan, Arif Jamshrf, Sungyoung Lee

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Original language	English
Article number	105701
Journal	Computer Methods and Programs in Biomedicine
Volume	197
DOIs	https://doi.org/10.1016/j.cmpb.2020.105701
Publication status	Published (VoR) - Dec 2020

Funding

This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2020-0-01489) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation) Moreover, this work was also supported by the National Research Foundation of Korea (NRF2017R1A2B2012337), in part by Sejong University Faculty Research Fund. The NRF funds NRF-2016K1A3A7A03951968 and NRF-2019R1A2C2090504 partially supported the resources for the project. This research was supported by the MSIT( Ministry of Science and ICT ), Korea, under the ITRC(Information Technology Research Center) support program ( IITP-2017-0-01629 ) supervised by the IITP(Institute for Information & communications Technology Promotion). This work was supported by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government(MSIT) (No. 2017-0-00655 ). This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP(Institute for Information & communications Technology Promotion). This work was supported by Institute for Information and communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No. 2017-0-00655). This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2020-0-01489) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation), Moreover, this work was also supported by the National Research Foundation of Korea (NRF2017R1A2B2012337), in part by Sejong University Faculty Research Fund. The NRF funds NRF-2016K1A3A7A03951968 and NRF-2019R1A2C2090504 partially supported the resources for the project. The authors would like to acknowledge the support of the medical and IT staff of Shaukat Khanum Memorial Cancer Hospital and Research Center, Lahore, especially; Dr. Raza Hussain, Dr. Sadaf, Dr. Hassan Iqbal, Mr. Manzar Abass, and Mr. Idrees Khokhar.

Keywords

Cancer treatment plan
Clinical decision support system
Clinical practice guidelines
Data driven knowledge acquisition
Formal verification
Knowledge acquisition

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10.1016/j.cmpb.2020.105701

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@article{b2cb4393fb7640b0a28fd2192fd38533,

title = "Acquiring guideline-enabled data driven clinical knowledge model using formally verified refined knowledge acquisition method",

keywords = "Cancer treatment plan, Clinical decision support system, Clinical practice guidelines, Data driven knowledge acquisition, Formal verification, Knowledge acquisition",

author = "Maqbool Hussain and Muhammad Afzal and Malik, \{Khalid M.\} and Taqdir Ali and \{Ali Khan\}, Wajahat and Muhammad Irfan and Arif Jamshrf and Sungyoung Lee",

note = "Funding Information: This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2020-0-01489) supervised by the IITP(Institute for Information \& communications Technology Planning \& Evaluation) Funding Information: Moreover, this work was also supported by the National Research Foundation of Korea (NRF2017R1A2B2012337), in part by Sejong University Faculty Research Fund. The NRF funds NRF-2016K1A3A7A03951968 and NRF-2019R1A2C2090504 partially supported the resources for the project. Funding Information: This research was supported by the MSIT( Ministry of Science and ICT ), Korea, under the ITRC(Information Technology Research Center) support program ( IITP-2017-0-01629 ) supervised by the IITP(Institute for Information \& communications Technology Promotion). Funding Information: This work was supported by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government(MSIT) (No. 2017-0-00655 ). Funding Information: This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP(Institute for Information \& communications Technology Promotion). This work was supported by Institute for Information and communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No. 2017-0-00655). This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2020-0-01489) supervised by the IITP(Institute for Information \& communications Technology Planning \& Evaluation), Moreover, this work was also supported by the National Research Foundation of Korea (NRF2017R1A2B2012337), in part by Sejong University Faculty Research Fund. The NRF funds NRF-2016K1A3A7A03951968 and NRF-2019R1A2C2090504 partially supported the resources for the project. The authors would like to acknowledge the support of the medical and IT staff of Shaukat Khanum Memorial Cancer Hospital and Research Center, Lahore, especially; Dr. Raza Hussain, Dr. Sadaf, Dr. Hassan Iqbal, Mr. Manzar Abass, and Mr. Idrees Khokhar. Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.",

year = "2020",

month = dec,

doi = "10.1016/j.cmpb.2020.105701",

language = "English",

volume = "197",

journal = "Computer Methods and Programs in Biomedicine",

issn = "0169-2607",

publisher = "Elsevier",

}

TY - JOUR

T1 - Acquiring guideline-enabled data driven clinical knowledge model using formally verified refined knowledge acquisition method

AU - Hussain, Maqbool

AU - Afzal, Muhammad

AU - Malik, Khalid M.

AU - Ali, Taqdir

AU - Ali Khan, Wajahat

AU - Irfan, Muhammad

AU - Jamshrf, Arif

AU - Lee, Sungyoung

N1 - Funding Information: This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2020-0-01489) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation) Funding Information: Moreover, this work was also supported by the National Research Foundation of Korea (NRF2017R1A2B2012337), in part by Sejong University Faculty Research Fund. The NRF funds NRF-2016K1A3A7A03951968 and NRF-2019R1A2C2090504 partially supported the resources for the project. Funding Information: This research was supported by the MSIT( Ministry of Science and ICT ), Korea, under the ITRC(Information Technology Research Center) support program ( IITP-2017-0-01629 ) supervised by the IITP(Institute for Information & communications Technology Promotion). Funding Information: This work was supported by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government(MSIT) (No. 2017-0-00655 ). Funding Information: This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP(Institute for Information & communications Technology Promotion). This work was supported by Institute for Information and communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No. 2017-0-00655). This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2020-0-01489) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation), Moreover, this work was also supported by the National Research Foundation of Korea (NRF2017R1A2B2012337), in part by Sejong University Faculty Research Fund. The NRF funds NRF-2016K1A3A7A03951968 and NRF-2019R1A2C2090504 partially supported the resources for the project. The authors would like to acknowledge the support of the medical and IT staff of Shaukat Khanum Memorial Cancer Hospital and Research Center, Lahore, especially; Dr. Raza Hussain, Dr. Sadaf, Dr. Hassan Iqbal, Mr. Manzar Abass, and Mr. Idrees Khokhar. Publisher Copyright: © 2020 Elsevier B.V.

PY - 2020/12

Y1 - 2020/12

KW - Cancer treatment plan

KW - Clinical decision support system

KW - Clinical practice guidelines

KW - Data driven knowledge acquisition

KW - Formal verification

KW - Knowledge acquisition

UR - https://www.scopus.com/pages/publications/85089940729

UR - https://www.scopus.com/inward/citedby.url?scp=85089940729&partnerID=8YFLogxK

U2 - 10.1016/j.cmpb.2020.105701

DO - 10.1016/j.cmpb.2020.105701

M3 - Article

C2 - 32882592

AN - SCOPUS:85089940729

SN - 0169-2607

VL - 197

JO - Computer Methods and Programs in Biomedicine

JF - Computer Methods and Programs in Biomedicine

M1 - 105701

ER -

Acquiring guideline-enabled data driven clinical knowledge model using formally verified refined knowledge acquisition method

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