Clinical decision support system based on hybrid knowledge modeling: A case study of chronic kidney disease-mineral and bone disorder treatment

Syed Imran Ali; Su Woong Jung; Hafiz Syed Muhammad Bilal; Sang Ho Lee; Jamil Hussain; Muhammad Afzal; Maqbool Hussain; Taqdir Ali; Taechoong Chung; Sungyoung Lee

doi:10.3390/ijerph19010226

Clinical decision support system based on hybrid knowledge modeling: A case study of chronic kidney disease-mineral and bone disorder treatment

Syed Imran Ali
, Su Woong Jung^*
, Hafiz Syed Muhammad Bilal
, Sang Ho Lee
, Jamil Hussain
, Muhammad Afzal
, Maqbool Hussain
, Taqdir Ali
, Taechoong Chung^*
, Sungyoung Lee^*

^*Corresponding author for this work

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

7 Citations (SciVal)

Original language	English
Article number	226
Journal	International Journal of Environmental Research and Public Health
Volume	19
Issue number	1
DOIs	https://doi.org/10.3390/ijerph19010226
Publication status	Published (VoR) - 1 Jan 2022

Funding

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), by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) and NRF2019R1A2C2090504.We express our appreciation to Kyung Hee University hospital staff for their support in conducting this research.

Keywords

Case-based reasoning
Clinical decision support system
Expert knowledge modeling
Medication dosing estimation
Treatment recommendation

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10.3390/ijerph19010226

Cite this

Ali, S. I., Jung, S. W., Bilal, H. S. M., Lee, S. H., Hussain, J., Afzal, M., Hussain, M., Ali, T., Chung, T., & Lee, S. (2022). Clinical decision support system based on hybrid knowledge modeling: A case study of chronic kidney disease-mineral and bone disorder treatment. International Journal of Environmental Research and Public Health, 19(1), Article 226. https://doi.org/10.3390/ijerph19010226

@article{2376613b53e046599792fefe77c16569,

title = "Clinical decision support system based on hybrid knowledge modeling: A case study of chronic kidney disease-mineral and bone disorder treatment",

keywords = "Case-based reasoning, Clinical decision support system, Expert knowledge modeling, Medication dosing estimation, Treatment recommendation",

author = "Ali, \{Syed Imran\} and Jung, \{Su Woong\} and Bilal, \{Hafiz Syed Muhammad\} and Lee, \{Sang Ho\} and Jamil Hussain and Muhammad Afzal and Maqbool Hussain and Taqdir Ali and Taechoong Chung and Sungyoung Lee",

note = "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), by Institute for Information \& communications Technology Promotion(IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information \& communications Technology Planning \& Evaluation) and NRF2019R1A2C2090504.We express our appreciation to Kyung Hee University hospital staff for their support in conducting this research. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = jan,

day = "1",

doi = "10.3390/ijerph19010226",

language = "English",

volume = "19",

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Ali, SI, Jung, SW, Bilal, HSM, Lee, SH, Hussain, J, Afzal, M, Hussain, M, Ali, T, Chung, T & Lee, S 2022, 'Clinical decision support system based on hybrid knowledge modeling: A case study of chronic kidney disease-mineral and bone disorder treatment', International Journal of Environmental Research and Public Health, vol. 19, no. 1, 226. https://doi.org/10.3390/ijerph19010226

Clinical decision support system based on hybrid knowledge modeling: A case study of chronic kidney disease-mineral and bone disorder treatment. / Ali, Syed Imran; Jung, Su Woong; Bilal, Hafiz Syed Muhammad et al.
In: International Journal of Environmental Research and Public Health, Vol. 19, No. 1, 226, 01.01.2022.

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

TY - JOUR

T1 - Clinical decision support system based on hybrid knowledge modeling

T2 - A case study of chronic kidney disease-mineral and bone disorder treatment

AU - Ali, Syed Imran

AU - Jung, Su Woong

AU - Bilal, Hafiz Syed Muhammad

AU - Lee, Sang Ho

AU - Hussain, Jamil

AU - Afzal, Muhammad

AU - Hussain, Maqbool

AU - Ali, Taqdir

AU - Chung, Taechoong

AU - Lee, Sungyoung

N1 - 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), by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) and NRF2019R1A2C2090504.We express our appreciation to Kyung Hee University hospital staff for their support in conducting this research. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2022/1/1

Y1 - 2022/1/1

KW - Case-based reasoning

KW - Clinical decision support system

KW - Expert knowledge modeling

KW - Medication dosing estimation

KW - Treatment recommendation

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UR - https://www.scopus.com/pages/publications/85121633027#tab=citedBy

U2 - 10.3390/ijerph19010226

DO - 10.3390/ijerph19010226

M3 - Article

C2 - 35010486

AN - SCOPUS:85121633027

SN - 1661-7827

VL - 19

JO - International Journal of Environmental Research and Public Health

JF - International Journal of Environmental Research and Public Health

IS - 1

M1 - 226

ER -

Clinical decision support system based on hybrid knowledge modeling: A case study of chronic kidney disease-mineral and bone disorder treatment

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Keywords

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