Abstract
We present new image features for diagnosing general wellbeing states and medical conditions. The new method, called Gaussian Hamming Distance (GHD), generates de-identified features that are highly correlated with general wellbeing states, such as happiness, smoking, and facial palsy. This method allows aid organizations and governments in developing countries to provide affordable medical services. We evaluate the new approach using real face-image data and four classifiers: Naive Bayesian classier, Artificial Neural Network, Decision Tree, and Support Vector Machines (SVM) for predicting general wellbeing states. Its predictive power (over 93 % accuracy) is suitable for providing a variety of online services including recommending useful health information for improving general wellbeing states.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lei, B., Song, I., Rahman, S.A.: Optimal watermarking scheme for breath sound. In: The 2012 International Joint Conference on Neural Networks (IJCNN), pp 1–6. IEEE (2012)
Song, I., Marsh, N.V.: Anonymous indexing of health conditions for a similarity measure. IEEE Trans. Inf. Technol. Biomed. 16(4), 737–744 (2012)
Vong, J., Fang, J., Song, I.: Delivering financial services through mobile phone technology: a pilot study on impact of mobile money service on micro–entrepreneurs in rural Cambodia. Int. J. Inf. Syst. Change Manage. 6(2), 177–186 (2012)
Song, I., Yen, N.Y., Vong, J., Diederich, J., Yellowlees, P.: Profiling bell’s palsy based on House-Brackmann score. In: 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE), pp 1–6. IEEE (2013)
Trad, S.G.J., Dormont, D., Stankoff, B., Bricaire, F., Caumes, E.: Nuclear bilateral Bell’s palsy and ageusia associated with mycoplasma pneumoniae pulmonary infection. J. Med. Microbiol. 54, 417–419 (2005)
Völter, C., Helms, J., Weissbrich, B., Rieckmann, P., Abele-Horn, M.: Frequent detection of Mycoplasma pneumoniae in Bell’s palsy. Eur. Arch. Oto-Rhino-Laryngology Head Neck 261(7), 400–404 (2004)
Hadfield, P., Shah, B., Glover, G.: Facial palsy due to tuberculosis: the value of CT. J. Laryngol. Otol. 109(10), 1010–1012 (1995)
Murakami, S., Mizobuchi, M., Nakashiro, Y., Doi, T., Hato, N., Yanagihara, N.: Bell palsy and herpes simplex virus: identification of viral DNA in endoneurial fluid and muscle. Ann. Intern. Med. 124(1_Part_1), 27–30 (1996)
Bankman, I.: Handbook of Medical Image Processing and Analysis. Academic Press, New York (2008)
Lei, B., Rahman, S.A., Song, I.: Content-based classification of breath sound with enhanced features. Neurocomputing 141, 139–147 (2014)
Song, I., Vong, J.: Affective core-banking services for microfinance. In: Lee, R. (ed.) Computer and Information Science. SCI, vol. 493, pp. 91–102. Springer, Heidelberg (2013)
Hamming, W.R.: Error detecting and error correcting codes. Bell Syst. Tech. J. 29(2), 147–160 (1950)
Terzis, J.K., Konofaos, P.: Nerve transfers in facial palsy. Facial Plast. Surg. 24(02), 177–193 (2008)
Kasse, C.A., Ferri, R.G., Vietler, E.Y.C., Leonhardt, F.D., Testa, J.R.G., Cruz, O.L.M.: Clinical data and prognosis in 1521 cases of Bell’s palsy. Int. Congr. Ser. 1240, 641–647 (2003). doi:10.1016/s0531-5131(03)00757-x
House, J.W., Brackmann, D.E.: Facial nerve grading system. Otolaryngol. Head Neck Surg. 93, 146–147 (1985)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Song, I. (2015). Gaussian Hamming Distance. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9491. Springer, Cham. https://doi.org/10.1007/978-3-319-26555-1_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-26555-1_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26554-4
Online ISBN: 978-3-319-26555-1
eBook Packages: Computer ScienceComputer Science (R0)