Medical Diagnosis of Lung Diseases Using Data Mining Techniques from Iris Images: A Retrospective Controlled Study-Reference-Cited by-同舟云学术

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Medical Diagnosis of Lung Diseases Using Data Mining Techniques from Iris Images: A Retrospective Controlled Study

Published:2022-05-04 Issue: Volume: Page:
ISSN:
Container-title:2022 13th Asian Control Conference (ASCC)
language:
Short-container-title:

Author:

Choi Seong-Hwan¹,Park Miso S.²,Park Seong-Il³,Yoo Ho-Ryong⁴,Park Hyun-Jung³

Affiliation:

1. Gao Korean Medicine Clinic,Daejeon,Korea (the Republic of)

2. Daejeon Korean Medicine Hospital of Daejeon University,Clinical Trial Center,Daejeon,Korea (the Republic of)

3. Dr Park Seong-Il Clinic,Daejeon,Korea (the Republic of)

4. Daejeon University College of Korean Medicine,Deptartment of Cardiology and Neurology of Korean Medicine,Daejeon,Korea (the Republic of)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9828005/9828007/09828131.pdf?arnumber=9828131

Reference19 articles.

1. TheSERPINE2Gene Is Associated with Chronic Obstructive Pulmonary Disease in Two Large Populations

2. Genetics of chronic obstructive pulmonary disease;seifart;Int J Chron Obstruct Pulmon Dis,2007

3. Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis

4. A Review of Iridology;lim;The Journal of the Society of Korean Medicine Diagnostics,2013

5. Iris images based pre-diagnostic tool to predict obstructive lung diseases

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