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Volumn 29, Issue 3, 2005, Pages 205-215

Prediction of minor head injured patients using logistic regression and MLP neural network

Author keywords

logistic regression; Minor head injury; MLP neural network; Transcranial Doppler

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD FLOW VELOCITY; CONTROLLED STUDY; DOPPLER ECHOGRAPHY; HEAD INJURY; HEMODYNAMICS; HUMAN; INTERNAL CAROTID ARTERY; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; MIDDLE CEREBRAL ARTERY; PREDICTION; STATISTICAL ANALYSIS;

EID: 21544452774     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-005-5181-x     Document Type: Article
Times cited : (18)

References (22)
  • 1
    • 0020394689 scopus 로고
    • Noninvasive transcranial Doppler ultrasound recording of flow velocities in basal cerebral arteries
    • Aaslid, R., Markwalder, T., and Nornes, H., Noninvasive transcranial Doppler ultrasound recording of flow velocities in basal cerebral arteries. J. Neurosurg. 57:769-774, 1982.
    • (1982) J. Neurosurg. , vol.57 , pp. 769-774
    • Aaslid, R.1    Markwalder, T.2    Nornes, H.3
  • 2
    • 0028812688 scopus 로고
    • Artificial neural network in pathology and medical laboratories
    • Dybowdski, R., and Gant, V., Artificial neural network in pathology and medical laboratories. Lancet 346:1203-1207, 1995.
    • (1995) Lancet , vol.346 , pp. 1203-1207
    • Dybowdski, R.1    Gant, V.2
  • 3
    • 0029383123 scopus 로고
    • A comparison of performance of mathematical predictive methods for medical diagnosis: Identifying acute cardiac ischemia among emergency department patients
    • Selker, H. P., Griffith, J. L., Patil, S., Long, W. J., and D'Agostino, R. B., A comparison of performance of mathematical predictive methods for medical diagnosis: Identifying acute cardiac ischemia among emergency department patients. J. Invest. Med. 43(5):468-476, 1995.
    • (1995) J. Invest. Med. , vol.43 , Issue.5 , pp. 468-476
    • Selker, H.P.1    Griffith, J.L.2    Patil, S.3    Long, W.J.4    D'Agostino, R.B.5
  • 4
    • 0028350107 scopus 로고
    • Data qualification: Logic analysis applied toward neural network training
    • Bergeron, B. P., Shiffman R. S., and Rouse, R. L., Data qualification: Logic analysis applied toward neural network training. Comput. Biol. Med. 24(2):157-164, 1994.
    • (1994) Comput. Biol. Med. , vol.24 , Issue.2 , pp. 157-164
    • Bergeron, B.P.1    Shiffman, R.S.2    Rouse, R.L.3
  • 5
    • 0027512684 scopus 로고
    • Artificial neural networks in mammography: Application to decision making in the diagnosis of breast cancer
    • Wu, Y., Giger, M. L., Doi, K., Vyborny, C. J., Schmidt, R. A., and Metz, C. E., Artificial neural networks in mammography: Application to decision making in the diagnosis of breast cancer. Radiology 187(1):81-87, 1993.
    • (1993) Radiology , vol.187 , Issue.1 , pp. 81-87
    • Wu, Y.1    Giger, M.L.2    Doi, K.3    Vyborny, C.J.4    Schmidt, R.A.5    Metz, C.E.6
  • 6
    • 0033969016 scopus 로고    scopus 로고
    • Neural network modeling for surgical decisions on traumatic brain injury patients
    • Li, Y. C., Liu, L., Chiu, W. T., and Jian, W. S., Neural network modeling for surgical decisions on traumatic brain injury patients. Int. J. Med. Inform 57:1-9, 2000.
    • (2000) Int. J. Med. Inform , vol.57 , pp. 1-9
    • Li, Y.C.1    Liu, L.2    Chiu, W.T.3    Jian, W.S.4
  • 8
    • 18144443173 scopus 로고    scopus 로고
    • Color Doppler sonography for differential diagnosis of ovarian tumors: Results of a multivariate logistic regression analysis
    • Schelling, M., Braun, M., Kuhn, W., Bogner, G., Gruber, R., Gnirs, J., Schneider, K. T., Ulm, K., Rutke, S., and Staudach, A., Color Doppler sonography for differential diagnosis of ovarian tumors: Results of a multivariate logistic regression analysis. Gynecol. Oncol. 77(1):78-86, 2000.
    • (2000) Gynecol. Oncol. , vol.77 , Issue.1 , pp. 78-86
    • Schelling, M.1    Braun, M.2    Kuhn, W.3    Bogner, G.4    Gruber, R.5    Gnirs, J.6    Schneider, K.T.7    Ulm, K.8    Rutke, S.9    Staudach, A.10
  • 9
    • 20244383711 scopus 로고    scopus 로고
    • Angiographical and Doppler flow-derived parameters for assessment of coronary lesion severity and its relation to the result of exercise electrocardiography
    • Piek, J. J., Boersma, E., di Mario, C., Schroeder, E., Vrints, C., Probst, P., de Bruyne, B., Hanet, C., Fleck, E., and Haude, M., Angiographical and Doppler flow-derived parameters for assessment of coronary lesion severity and its relation to the result of exercise electrocardiography. Eur. Heart J. 21(6):466-474, 2000.
    • (2000) Eur. Heart J. , vol.21 , Issue.6 , pp. 466-474
    • Piek, J.J.1    Boersma, E.2    Di Mario, C.3    Schroeder, E.4    Vrints, C.5    Probst, P.6    De Bruyne, B.7    Hanet, C.8    Fleck, E.9    Haude, M.10
  • 10
    • 0032030898 scopus 로고    scopus 로고
    • A multivariate logistic regression analysis in predicting malignancy for patients with ovarian tumors
    • Hata, K., Akiba, S., Hata, T., and Miyazaki, K., A multivariate logistic regression analysis in predicting malignancy for patients with ovarian tumors. Gynecol. Oncol. 68(3):256-262, 1998.
    • (1998) Gynecol. Oncol. , vol.68 , Issue.3 , pp. 256-262
    • Hata, K.1    Akiba, S.2    Hata, T.3    Miyazaki, K.4
  • 11
    • 33749628799 scopus 로고    scopus 로고
    • Comparison of FFT, AR and wavelet methods in transcranial Doppler signal obtained from intracerebral vessels
    • stanbul, Turkey
    • Güler, I., Hardalaç, F., and Erol, F. S., Comparison of FFT, AR and wavelet methods in transcranial Doppler signal obtained from intracerebral vessels. Proc. 23rd IEEE/EMBS, stanbul, Turkey, 2001.
    • (2001) Proc. 23rd IEEE/EMBS
    • Güler, I.1    Hardalaç, F.2    Erol, F.S.3
  • 12
    • 17344388221 scopus 로고    scopus 로고
    • Application of autoregressive and Fast Fourier Transform spectral analysis to tricuspid and mitral valve stenosis
    • Güler, I., Kara, S., Güler, N. F., and Kiymik, M. K., Application of autoregressive and Fast Fourier Transform spectral analysis to tricuspid and mitral valve stenosis. Comput. Methods Prog. Biomed. 49:29-36, 1996.
    • (1996) Comput. Methods Prog. Biomed. , vol.49 , pp. 29-36
    • Güler, I.1    Kara, S.2    Güler, N.F.3    Kiymik, M.K.4
  • 15
    • 0033661962 scopus 로고    scopus 로고
    • The quest for early predictors of stroke evolution
    • Baracchini, C., Manara, R., Ermani, M., and Meneghetti, G., The quest for early predictors of stroke evolution. Stroke, 31(12):2942-2947. 2000.
    • (2000) Stroke , vol.31 , Issue.12 , pp. 2942-2947
    • Baracchini, C.1    Manara, R.2    Ermani, M.3    Meneghetti, G.4
  • 16
    • 0033860278 scopus 로고    scopus 로고
    • Association of intraoperative transcranial Doppler monitoring variables with stroke from carotid endarterectomy
    • Ackerstaff, R. G., Moons, K. G., van de Vlasakker, C. J., Moll, F. L., Vermeulen, F. E., Algra, A., and Spencer, M. P., Association of intraoperative transcranial Doppler monitoring variables with stroke from carotid endarterectomy. Stroke 31(8):1817-1823, 2000.
    • (2000) Stroke , vol.31 , Issue.8 , pp. 1817-1823
    • Ackerstaff, R.G.1    Moons, K.G.2    Van De Vlasakker, C.J.3    Moll, F.L.4    Vermeulen, F.E.5    Algra, A.6    Spencer, M.P.7
  • 17
    • 0000243355 scopus 로고
    • Learning in artificial neural networks: A statistical approach
    • White, H., Learning in artificial neural networks: A statistical approach, Neural Comput. 1:425-464, 1989.
    • (1989) Neural Comput. , vol.1 , pp. 425-464
    • White, H.1
  • 19
    • 0034564603 scopus 로고    scopus 로고
    • Artificial neural networks: Fundamentals, computing, design, and application
    • Basheer, I. A., and Hajmeer, M., Artificial neural networks: Fundamentals, computing, design, and application. J. Microbiol. Methods 43:3-31, 2000.
    • (2000) J. Microbiol. Methods , vol.43 , pp. 3-31
    • Basheer, I.A.1    Hajmeer, M.2
  • 21
    • 0020083498 scopus 로고
    • The meaning and use of the area under the receiver operating characteristic (ROC) curve
    • Hanley, J. A., and McNeil, B. J., The meaning and use of the area under the receiver operating characteristic (ROC) curve. Radiology 143:29-36, 1982.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 22
    • 0037392620 scopus 로고    scopus 로고
    • Determination of coronary failure with application of FFT and AR methods
    • Hardalaç, F., Serhatlioǧlu, S., Burma, O., and Güler, İ., Determination of coronary failure with application of FFT and AR methods. J. Med. Syst. 27(2):121-131, 2003.
    • (2003) J. Med. Syst. , vol.27 , Issue.2 , pp. 121-131
    • Hardalaç, F.1    Serhatlioǧlu, S.2    Burma, O.3    Güler, I.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.