A classification method of normal and overweight females based on facial features for automated medical applications

Journal of Biomedicine and Biotechnology

Volumn 2012, Issue , 2012, Pages

  Lee, Bum Ju ^a   Do, Jun Hyeong ^a   Kim, Jong Yeol ^a  

^a Korea Institute of Oriental Medicine (KIOM)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; AUTOMATION; BODY MASS; CLASSIFICATION; CONTROLLED STUDY; FACIES; FEMALE; GROUPS BY AGE; HUMAN; NORMAL HUMAN; OBESITY; PREDICTIVE VALUE; STATISTICAL ANALYSIS; AREA UNDER THE CURVE; DIAGNOSTIC PROCEDURE; FACE; METHODOLOGY; MIDDLE AGED;

ADULT; AREA UNDER CURVE; AUTOMATION; BODY MASS INDEX; DIAGNOSTIC TECHNIQUES AND PROCEDURES; FACE; FEMALE; HUMANS; MIDDLE AGED; OVERWEIGHT; YOUNG ADULT;

EID: 84866110556     PISSN: 11107243     EISSN: 11107251     Source Type: Journal    
DOI: 10.1155/2012/834578     Document Type: Article

References (35)

1. James O. H., Peters J. C., Environmental contributions to the obesity epidemic. Science 1998 280 5368 1371 1374 2-s2.0-0032577404 10.1126/science.280. 5368.1371 (Pubitemid 28264817)
2. Comuzzie A. G., Allison D. B., The search for human obesity genes. Science 1998 280 5368 1374 1377 2-s2.0-0032577309 10.1126/science.280.5368.1374 (Pubitemid 28264818)
3. Després J. P., Lemieux I., Abdominal obesity and metabolic syndrome. Nature 2006 444 7121 881 887 2-s2.0-33845886915 10.1038/nature05488 (Pubitemid 46024995)
4. Hirose H., Takayama T., Hozawa S., Hibi T., Saito I., Prediction of metabolic syndrome using artificial neural network system based on clinical data including insulin resistance index and serum adiponectin. Computers in Biology and Medicine 2011 41 11 1051 1056 2-s2.0-82655187449 10.1016/j.compbiomed.2011. 09.005
5. Yan L. L., Daviglus M. L., Liu K., Pirzada A., Garside D. B., Schiffer L., Dyer A. R., Greenland P., BMI and health-related quality of life in adults 65 years and older. Obesity Research 2004 12 1 69 76 2-s2.0-2342539812 (Pubitemid 41137489)
6. Ni Mhurchu C., Rodgers A., Pan W. H., Gu D. F., Woodward M., Parag V., Lin R., Bennett D. A., Vander Hoorn S., Barzi F., MacMahon S., Lam T. H., Lawes C., Suh I., Ueshima H., Okayama A., Maegawa H., Aoki N., Nakamura M., Kubo N., Yamada T., Wu Z. S., Yao C. H., Liu L. S., Xie J. X., Knuiman M. W., Christensen H., Wu X. G., Zhou J., Yu X. H., Tamakoshi A., Wu Z. L., Chen L. Q., Shan G. L., Duan X. F., Norton R., Whitlock G., Jackson R., Fujishima M., Kiyohara Y., Iwamoto H., Woo J., Ho S., Hong Z., Huang M. S., Zhou B., Fuh J. L., Kita Y., Choudhury S. R., Jee S. H., Kim I. S., Giles G., Hashimoto T., Sakata K., Imai Y., Ohkubo T., Hozawa A., Jamrozik K., Hobbs M., Broadhurst R., Nakachi K., Fang X. H., Li S. C., Yang Q. D., Chen Z. M., Tanaka H., Nozaki A., Horibe H., Matsutani Y., Kagaya M., Hughes K., Lee J., Heng D., Zhou B. F., Zhang H. Y., Shimamoto K., Saitoh S., Li Z. Z., Zhang H. Y., He Y., Yao S. X., Body mass index and cardiovascular disease in the Asia-Pacific Region: an overview of 33 cohorts involving 310 000 participants. International Journal of Epidemiology 2004 33 4 751 758 2-s2.0-4644341787 10.1093/ije/dyh163 (Pubitemid 39263851)
7. Haas T., Svacina S., Pav J., Hovorka R., Sucharda P., Sonka J., Risk calculation of type 2 diabetes. Computer Methods and Programs in Biomedicine 1994 41 3-4 297 303 2-s2.0-0028294477 (Pubitemid 24077403)
8. Lee C. M. Y., Colagiuri S., Ezzati M., Woodward M., The burden of cardiovascular disease associated with high body mass index in the Asia-Pacific region. Obesity Reviews 2011 12 501 e454 e459 2-s2.0-79955044454 10.1111/j.1467-789X.2010.00849.x
9. Li L., De Moira A. P., Power C., Predicting cardiovascular disease risk factors in midadulthood from childhood body mass index: utility of different cutoffs for childhood body mass index. American Journal of Clinical Nutrition 2011 93 6 1204 1211 2-s2.0-79956311752 10.3945/ajcn.110.001222
10. Anuurad E., Shiwaku K., Nogi A., Kitajima K., Enkhmaa B., Shimono K., Yamane Y., The new BMI criteria for Asians by the regional office for the Western Pacific region of WHO are suitable for screening of overweight to prevent metabolic syndrome in elder japanese workers. Journal of Occupational Health 2003 45 6 335 343 2-s2.0-0347992980 10.1539/joh.45.335 (Pubitemid 38036188)
11. Hye S. P., Yeong S. Y., Jung Y. P., Young S. K., Joong M. C., Obesity, abdominal obesity, and clustering of cardiovascular risk factors in South Korea. Asia Pacific Journal of Clinical Nutrition 2003 12 4 411 418 2-s2.0-3042769294 (Pubitemid 38886958)
12. Kim J. Y., Chang H. M., Cho J. J., Yoo S. H., Kim S. Y., Relationship between obesity and depression in the Korean working population. Journal of Korean Medical Science 2010 25 11 1560 1567 2-s2.0-78449311310 10.3346/jkms.2010.25.11.1560
13. Fonseca H., Silva A. M., Matos M. G., Esteves I., Costa P., Guerra A., Gomes-Pedro J., Validity of BMI based on self-reported weight and height in adolescents. Acta Paediatrica, International Journal of Paediatrics 2010 99 1 83 88 2-s2.0-71949085640 10.1111/j.1651-2227.2009.01518.x
14. Sobottka K., Pitas I., A novel method for automatic face segmentation, facial feature extraction and tracking. Signal Processing: Image Communication 1998 12 3 263 281 2-s2.0-0032097277 (Pubitemid 128393678)
15. Wang Y., Chua C. S., Ho Y. K., Facial feature detection and face recognition from 2D and 3D images. Pattern Recognition Letters 2002 23 10 1191 1202 2-s2.0-0036680802 10.1016/S0167-8655(02)00066-1 (Pubitemid 34527811)
16. Huang C. L., Huang Y. M., Facial Expression Recognition Using Model-Based Feature Extraction and Action Parameters Classification. Journal of Visual Communication and Image Representation 1997 8 3 278 290 2-s2.0-0031222547
17. Yang M. H., Kriegman D. J., Ahuja N., Detecting faces in images: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002 24 1 34 58 2-s2.0-0036223025 10.1109/34.982883 (Pubitemid 34325615)
18. Reither E. N., Hauser R. M., Swallen K. C., Predicting adult health and mortality from adolescent facial characteristics in yearbook photographs. Demography 2009 46 1 27 41 2-s2.0-65449147031 10.1353/dem.0.0037
19. Levine J. A., Ray A., Jensen M. D., Relation between chubby cheeks and visceral fat. New England Journal of Medicine 1998 339 26 1946 1947 2-s2.0-0032564655 (Pubitemid 29013947)
20. Sadeghianrizi A., Forsberg C. M., Marcus C., Dahllöf G., Craniofacial development in obese adolescents. European Journal of Orthodontics 2005 27 6 550 555 2-s2.0-29044443426 10.1093/ejo/cji048 (Pubitemid 41787619)
21. Frowd C., Lee C., Petkovic A., Nawaz K., Bashir Y., Further automating and refining the construction and recognition of facial composite images. International Journal of Bio-Science and Bio-Technology 2009 1 1 59 74 2-s2.0-79960703287
22. Frowd C. D., Ramsay S., Hancock P. J. B., The influence of holistic interviewing on hair perception for the production of facial composites. International Journal of Bio-Science and Bio-Technology 2011 3 3 55 64 2-s2.0-80053940547
23. Soltane M., Doghmane N., Guersi N., Face and speech based multi-modal biometric authentication. International Journal of Advanced Science and Technology 2010 21 6 41 56
24. World Health Organisation, International Association for the Study of Obesity, International Obesity TaskForce, The Asia-Pacific Perspective, Redefining obesity and its treatment. Health Communications, Sydney, Australia, 2000
25. Barba C., Cavalli-Sforza T., Cutter J., Darnton-Hill I., Deurenberg P., Deurenberg-Yap M., Gill T., James P., Ko G., Nishida C., Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004 363 9403 157 163 2-s2.0-0347948541 10.1016/S0140- 6736(03)15268-3 (Pubitemid 38068335)
26. Pham D. D., Do J. H., Ku B., Lee H. J., Kim H., Kim J. Y., Body mass index and facial cues in Sasang typology for young and elderly persons. Evidence-Based Complementary and Alternative Medicine 2011 2011 9 2-s2.0-79955092033 10.1155/2011/749209 749209
27. Fayyad U. M., Irani K. B., Multi-interval discretization of continuous-valued attributes for classification learning. 2 Proceedings of the 13th International Joint Conference on Uncertainty in Artificial Intelligence 1993 1022 1027
28. Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., Witten I. H., The WEKA data mining software: an update. SIGKDD Explorations 2009 11 10 18
29. Douchi T., Yamamoto S., Nakamura S., Ijuin T., Oki T., Maruta K., Nagata Y., The effect of menopause on regional and total body lean mass. Maturitas 1998 29 3 247 252 2-s2.0-0032540719 10.1016/S0378-5122(98)00035-8 (Pubitemid 28326425)
30. Skrzypczak M., Szwed A., Assessment of the body mass index and selected physiological parameters in pre- and post-menopausal women. HOMO- Journal of Comparative Human Biology 2005 56 2 141 152 2-s2.0-22644432697 10.1016/j.jchb.2005.05.002 (Pubitemid 41024898)
31. Wang Q., Hassager C., Ravn P., Wang S., Christiansen C., Total and regional body-composition changes in early postmenopausal women: age-related or menopause-related? American Journal of Clinical Nutrition 1994 60 6 843 848 2-s2.0-0027945009 (Pubitemid 24377263)
32. Krieser D., Nguyen K., Kerr D., Jolley D., Clooney M., Kelly A. M., Parental weight estimation of their child's weight is more accurate than other weight estimation methods for determining children's weight in an emergency department? Emergency Medicine Journal 2007 24 11 756 759 2-s2.0-35848935211 10.1136/emj.2007.047993 (Pubitemid 350055171)
33. Coe T. R., Halkes M., Houghton K., Jefferson D., The accuracy of visual estimation of weight and height in pre-operative supine patients. Anaesthesia 1999 54 6 582 586 2-s2.0-0033062208 10.1046/j.1365-2044.1999.00838.x (Pubitemid 29299167)
34. Hall W. L., Larkin G. L., Trujillo M. J., Hinds J. L., Delaney K. A., Errors in weight estimation in the emergency department: comparing performance by providers and patients. Journal of Emergency Medicine 2004 27 3 219 224 2-s2.0-4544356479 10.1016/j.jemermed.2004.04.008 (Pubitemid 39244086)
35. Menon S., Kelly A. M., How accurate is weight estimation in the emergency department? Emergency Medicine Australasia 2005 17 2 113 116 2-s2.0-17844379198 (Pubitemid 40592399)