Knowledge discovery on in vitro fertilization clinical data using particle swarm optimization

Chih Chuan Chen, Yi Chung Cheng, Chao Chin Hsu, Sheng-Tun Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In vitro fertilization (IVF) is a medically assisted reproduction technique (ART) for treating infertility. During IVF procedures, a female patient requires hormone treatment to control ovulation, oocytes are taken from the patient and fertilized in vitro, and after fertilization, one or usually more resulting embryos are transferred into the uterus. Although IVF is considered as a method of last resort for infertile couples, the success rate is still low, which can be only as high as 40% for women under age of 30. In this study, we build a predictive model which takes into account a patient's physiology and the results of the stages of an IVF cycle, to assist obstetricians and gynecologists in increasing success rate of IVF. The predictive model is based on a knowledge discovering technique incorporated with particle swarm optimization (PSO), which is a competitive heuristic technique for solving optimization task. This study uses the database of IVF cycles developed by a women and infants clinic in Taiwan as the foundation. A repertory grid is developed to help selecting attributes for the data mining technique. The results show that the proposed technique can exploit rules approved by the obstetrician/gynecologist and the assistant on both comprehensibility and justifiability.

Original languageEnglish
Title of host publicationProceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009
Pages278-283
Number of pages6
DOIs
Publication statusPublished - 2009 Nov 18
Event2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009 - Taichung, Taiwan
Duration: 2009 Jun 222009 Jun 24

Publication series

NameProceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009

Other

Other2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009
CountryTaiwan
CityTaichung
Period09-06-2209-06-24

Fingerprint

Fertilization in Vitro
Particle swarm optimization (PSO)
Data mining
Hormones
Physiology
Reproductive Techniques
Data Mining
Ovulation
Taiwan
Infertility
Uterus
Oocytes
Embryonic Structures
Databases

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Biomedical Engineering
  • Health Informatics

Cite this

Chen, C. C., Cheng, Y. C., Hsu, C. C., & Li, S-T. (2009). Knowledge discovery on in vitro fertilization clinical data using particle swarm optimization. In Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009 (pp. 278-283). [5211262] (Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009). https://doi.org/10.1109/BIBE.2009.36
Chen, Chih Chuan ; Cheng, Yi Chung ; Hsu, Chao Chin ; Li, Sheng-Tun. / Knowledge discovery on in vitro fertilization clinical data using particle swarm optimization. Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009. 2009. pp. 278-283 (Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009).
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Chen, CC, Cheng, YC, Hsu, CC & Li, S-T 2009, Knowledge discovery on in vitro fertilization clinical data using particle swarm optimization. in Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009., 5211262, Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009, pp. 278-283, 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009, Taichung, Taiwan, 09-06-22. https://doi.org/10.1109/BIBE.2009.36

Knowledge discovery on in vitro fertilization clinical data using particle swarm optimization. / Chen, Chih Chuan; Cheng, Yi Chung; Hsu, Chao Chin; Li, Sheng-Tun.

Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009. 2009. p. 278-283 5211262 (Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Chen CC, Cheng YC, Hsu CC, Li S-T. Knowledge discovery on in vitro fertilization clinical data using particle swarm optimization. In Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009. 2009. p. 278-283. 5211262. (Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009). https://doi.org/10.1109/BIBE.2009.36