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Volumn 2, Issue , 2010, Pages 383-387

Artificial neural networks: Current applications in modern medicine

Author keywords

Application; Artificial neural networks; Medicine

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; COMPUTER INTELLIGENCES; DIGITIZED MODEL; ELECTRONIC SIGNALS; HUMAN BRAIN; INDEPENDENT VARIABLES; MATHEMATICAL ALGORITHMS; MEDICAL IMAGE ANALYSIS; MODERN MEDICINE; NON-LINEAR RELATIONSHIPS;

EID: 77956479827     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCTAE.2010.5543470     Document Type: Conference Paper
Times cited : (12)

References (28)
  • 2
    • 34948835662 scopus 로고    scopus 로고
    • Applications of artificial neural networks in medical science
    • Sep
    • Patel JL and Goyal RK, "Applications of artificial neural networks in medical science.," Curr Clin Pharmacol. 2007 Sep, 2(3), pp.217-26.
    • (2007) Curr Clin Pharmacol , vol.2 , Issue.3 , pp. 217-226
    • Patel, J.L.1    Goyal, R.K.2
  • 4
    • 34247632642 scopus 로고    scopus 로고
    • Multiple appearance models
    • September
    • G Langs, P. Peloschek and H. Bischof, "Multiple Appearance Models," Pattern Recognition, September 2007, 40(9), pp.2485-95
    • (2007) Pattern Recognition , vol.40 , Issue.9 , pp. 2485-2495
    • Langs, G.1    Peloschek, P.2    Bischof, H.3
  • 5
    • 77953145766 scopus 로고    scopus 로고
    • Modelling of COD removal in a biological wastewater treatment plant using adaptive neuro-fuzzy inference system and artificial neural network
    • Civelekoglu G, Yigit NO, Diamadopoulos E and Kitis M, "Modelling of COD removal in a biological wastewater treatment plant using adaptive neuro-fuzzy inference system and artificial neural network," Water Sci Technol., 2009, 60(6), pp.1475-87.
    • (2009) Water Sci Technol. , vol.60 , Issue.6 , pp. 1475-1487
    • Civelekoglu, G.1    Yigit, N.O.2    Diamadopoulos, E.3    Kitis, M.4
  • 6
    • 61849180936 scopus 로고    scopus 로고
    • Automated creation of transparent fuzzy models based on decision trees-application to diabetes diagnosis
    • Tsipouras MG, Exarchos TP and Fotiadis DI, "Automated creation of transparent fuzzy models based on decision trees-application to diabetes diagnosis," Conf Proc IEEE Eng Med Biol Soc. 2008, pp. 3799-802.
    • (2008) Conf Proc IEEE Eng Med Biol Soc. , pp. 3799-3802
    • Tsipouras, M.G.1    Exarchos, T.P.2    Fotiadis, D.I.3
  • 7
    • 39049143284 scopus 로고    scopus 로고
    • Detection of non-ST-elevation myocardial infarction and unstable angina in the acute setting: Meta-analysis of diagnostic performance of multi-detector computed tomographic angiography
    • Dec
    • Vanhoenacker PK, Decramer I, Bladt O, Sarno G, Bevernage C and Wijns W, "Detection of non-ST-elevation myocardial infarction and unstable angina in the acute setting: meta-analysis of diagnostic performance of multi-detector computed tomographic angiography," BMC Cardiovasc Disord. 2007 Dec 19(7), pp.39-41
    • (2007) BMC Cardiovasc Disord , vol.19 , Issue.7 , pp. 39-41
    • Vanhoenacker, P.K.1    Decramer, I.2    Bladt, O.3    Sarno, G.4    Bevernage, C.5    Wijns, W.6
  • 8
    • 0034970122 scopus 로고    scopus 로고
    • Clinical decision support systems for intensive care units: Using artificial neural networks
    • DOI 10.1016/S1350-4533(01)00041-8, PII S1350453301000418
    • Frize M, Ennett CM, Stevenson M and Trigg HC, "Clinical decision support systems for intensive care units: using artificial neural networks," Med Eng Phys. 2001 Apr, 23(3), pp.217-225 (Pubitemid 32536807)
    • (2001) Medical Engineering and Physics , vol.23 , Issue.3 , pp. 217-225
    • Frize, M.1    Ennett, C.M.2    Stevenson, M.3    Trigg, H.C.E.4
  • 10
    • 68349118070 scopus 로고    scopus 로고
    • Developing an electronic nursing record system for clinical care and nursing effectiveness research in a korean home healthcare setting
    • Jul-Aug
    • Lee EJ, Lee M and Moorhead S, "Developing an electronic nursing record system for clinical care and nursing effectiveness research in a korean home healthcare setting," Comput Inform Nurs. 2009 Jul-Aug, 27(4), pp.234-44.
    • (2009) Comput Inform Nurs. , vol.27 , Issue.4 , pp. 234-244
    • Lee, E.J.1    Lee, M.2    Moorhead, S.3
  • 11
    • 61849096204 scopus 로고    scopus 로고
    • EEG signal classification method based on fractal features and neural network
    • Phothisonothai M and Nakagawa M, "EEG signal classification method based on fractal features and neural network," Conf Proc IEEE Eng Med Biol Soc. 2008, pp.3880-3
    • (2008) Conf Proc IEEE Eng Med Biol Soc. , pp. 3880-3883
    • Phothisonothai, M.1    Nakagawa, M.2
  • 12
    • 77951009583 scopus 로고    scopus 로고
    • Application of the empirical mode decomposition to the extraction of features from EEG signals for mental task classification
    • Diez PF, Mut V, Laciar E, Torres A and Avila E. "Application of the empirical mode decomposition to the extraction of features from EEG signals for mental task classification," Conf Proc IEEE Eng Med Biol Soc. 2009.1, pp. 2579-82.
    • (2009) Conf Proc IEEE Eng Med Biol Soc. , vol.1 , pp. 2579-2582
    • Diez, P.F.1    Mut, V.2    Laciar, E.3    Torres, A.4    Avila, E.5
  • 13
    • 77950968670 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction of electroencephalogram (EEG) for brain computer interfaces
    • Teli MN and Anderson C, "Nonlinear dimensionality reduction of electroencephalogram (EEG) for Brain Computer interfaces," Conf Proc IEEE Eng Med Biol Soc, 2009. 1, pp.2486-9.
    • (2009) Conf Proc IEEE Eng Med Biol Soc , vol.1 , pp. 2486-2489
    • Teli, M.N.1    Anderson, C.2
  • 14
    • 70349785583 scopus 로고    scopus 로고
    • Comparison of hospital charge prediction models for gastric cancer patients: Neural network vs. decision tree mode
    • Sep
    • Wang J, Li M, Hu YT and Zhu Y, "Comparison of hospital charge prediction models for gastric cancer patients: neural network vs. decision tree mode," BMC Health Serv Res. 2009 Sep 14(9), pp.161.
    • (2009) BMC Health Serv Res. , vol.14 , Issue.9 , pp. 161
    • Wang, J.1    Li, M.2    Hu, Y.T.3    Zhu, Y.4
  • 15
    • 71949128923 scopus 로고    scopus 로고
    • Artificial neural network-based analysis of high-throughput screening data for improved prediction of active compounds
    • Dec
    • Chakrabarti S, Svojanovsky SR, Slavik R, Georg GI, Wilson GS and Smith PG, "Artificial neural network-based analysis of high-throughput screening data for improved prediction of active compounds," J Biomol Screen. 2009 Dec, 14(10), pp.1236-44.
    • (2009) J Biomol Screen , vol.14 , Issue.10 , pp. 1236-1244
    • Chakrabarti, S.1    Svojanovsky, S.R.2    Slavik, R.3    Georg, G.I.4    Wilson, G.S.5    Smith, P.G.6
  • 16
    • 0030220679 scopus 로고    scopus 로고
    • Artificial neural networks: Current status in cardiovascular medicine
    • Aug
    • Itchhaporia D, Snow PB, Almassy RJ and Oetgen WJ, "Artificial Neural Networks: Current Status in Cardiovascular Medicine," J Am Coll Cardiol. 1996 Aug, 28(2), pp.515-521
    • (1996) J Am Coll Cardiol. , vol.28 , Issue.2 , pp. 515-521
    • Itchhaporia, D.1    Snow, P.B.2    Almassy, R.J.3    Oetgen, W.J.4
  • 17
    • 44349110097 scopus 로고    scopus 로고
    • Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach
    • Jun
    • Lancashire LJ, Rees RC and Ball GR, "Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach," Artif Intell Med. 2008 Jun, 43(2), pp.99-111.
    • (2008) Artif Intell Med. , vol.43 , Issue.2 , pp. 99-111
    • Lancashire, L.J.1    Rees, R.C.2    Ball, G.R.3
  • 18
    • 1842479108 scopus 로고    scopus 로고
    • Classification of human breast cancer using gene expression profiling as a component of the survival predictor algorithm
    • Apr 1
    • Glinsky GV, Higashiyama T and Glinskii AB, "Classification of human breast cancer using gene expression profiling as a component of the survival predictor algorithm," Clin Cancer Res. 2004 Apr 1, 10(7), pp. 2272-83.
    • (2004) Clin Cancer Res. , vol.10 , Issue.7 , pp. 2272-2283
    • Glinsky, G.V.1    Higashiyama, T.2    Glinskii, A.B.3
  • 19
    • 0036713764 scopus 로고    scopus 로고
    • Classification and prediction of the progression of thyroid-associated ophthalmopathy by an artificial neural network
    • DOI 10.1016/S0161-6420(02)01127-2, PII S0161642002011272
    • Salvi M, Dazzi D, Pellistri I, Neri F and Wall JR, "Classification and Prediction of the Progression of Thyroid-associated Ophthalmopathy by an Artificial Neural Network," Ophthalmology, 2002 Sep, 109(9) pp. 1703-8. (Pubitemid 35006403)
    • (2002) Ophthalmology , vol.109 , Issue.9 , pp. 1703-1708
    • Salvi, M.1    Dazzi, D.2    Pellistri, I.3    Neri, F.4    Wall, J.R.5
  • 20
    • 0036207148 scopus 로고    scopus 로고
    • Prediction of the progression of thyroid-associated ophthalmopathy at first ophthalmologic examination: Use of a neural network
    • Salvi M, Dazzi D, Pellistri I and Neri F, "Prediction of the progression of thyroid-associated ophthalmopathy at first ophthalmologic examination: use of a neural network.," Thyroid 2002 Mar, 12(3), pp. 233-6 (Pubitemid 34259805)
    • (2002) Thyroid , vol.12 , Issue.3 , pp. 233-236
    • Salvi, M.1    Dazzi, D.2    Pellistri, I.3    Neri, F.4
  • 21
    • 10744225479 scopus 로고    scopus 로고
    • Melanoma diagnosis by Raman spectroscopy and neural networks: Structure alterations in proteins and lipids in intact cancer tissue
    • Feb
    • Gniadecka M, Philipsen PA, Sigurdsson S, Wessel S and Nielsen, "Melanoma Diagnosis by Raman Spectroscopy and Neural Networks: Structure Alterations in Proteins and Lipids in Intact Cancer Tissue," The Journal of Investigative Dermatology, 2004 Feb, 122(2), pp.443-9
    • (2004) The Journal of Investigative Dermatology , vol.122 , Issue.2 , pp. 443-449
    • Gniadecka, M.1    Philipsen, P.A.2    Sigurdsson, S.3    Wessel, S.4    Nielsen5
  • 22
    • 34249901293 scopus 로고    scopus 로고
    • In vivo evaluation of melanoma thickness by multispectral imaging and an artificial neural network. A retrospective study on 250 cases of cutaneous melanoma
    • Marchesini R, Bono A, Tomatis S, Bartoli C, Colombo A, Lualdi M and Carrara, M, "In vivo evaluation of melanoma thickness by multispectral imaging and an artificial neural network. A retrospective study on 250 cases of cutaneous melanoma," Tumori. 2007 vol. 93(no.2), pp.170-2
    • (2007) Tumori , vol.93 , Issue.2 , pp. 170-172
    • Marchesini, R.1    Bono, A.2    Tomatis, S.3    Bartoli, C.4    Colombo, A.5    Lualdi, M.6    Carrara, M.7
  • 23
    • 22844433226 scopus 로고    scopus 로고
    • Automated melanoma detection with a novel multispectral imaging system: Results of a prospective study
    • Apr 21
    • Tomatis S, Carrara M, Bono A, Bartoli C and Lualdi M, "Automated melanoma detection with a novel multispectral imaging system: results of a prospective study.," Physics in medicine and biology, 2005 Apr 21, 50(8), pp.1675-87
    • (2005) Physics in Medicine and Biology , vol.50 , Issue.8 , pp. 1675-1687
    • Tomatis, S.1    Carrara, M.2    Bono, A.3    Bartoli, C.4    Lualdi, M.5
  • 24
    • 40949135689 scopus 로고    scopus 로고
    • Automatic cluster detection in kohonen's SOM
    • Mar
    • Brugger D, Bogdan M and Rosenstiel W, "Automatic cluster detection in Kohonen's SOM," IEEE Trans Neural Netw, 2008 Mar, 19(3), pp. 442-59.
    • (2008) IEEE Trans Neural Netw , vol.19 , Issue.3 , pp. 442-459
    • Brugger, D.1    Bogdan, M.2    Rosenstiel, W.3
  • 25
    • 28544451728 scopus 로고    scopus 로고
    • An analysis of thyroid function diagnosis using Bayesian-type and SOM-type neural networks
    • (Tokyo) Dec
    • Hoshi K, Kawakami J, Kumagai M, Kasahara S, Nishimura N, Nakamura H and Sato K, "An analysis of thyroid function diagnosis using Bayesian-type and SOM-type neural networks," Chem Pharm Bull (Tokyo), 2005 Dec, 53(12), pp.1570-4.
    • (2005) Chem Pharm Bull , vol.53 , Issue.12 , pp. 1570-1574
    • Hoshi, K.1    Kawakami, J.2    Kumagai, M.3    Kasahara, S.4    Nishimura, N.5    Nakamura, H.6    Sato, K.7
  • 26
    • 72149099584 scopus 로고    scopus 로고
    • Biologically plausible learning in neural networks: A lesson from bacterial chemotaxis
    • Dec
    • Shimansky YP, "Biologically plausible learning in neural networks: a lesson from bacterial Chemotaxis," Biol Cybern. 2009 Dec, 101(5-6), pp.379-85
    • (2009) Biol Cybern. , vol.101 , Issue.5-6 , pp. 379-385
    • Shimansky, Y.P.1
  • 27
    • 50949106420 scopus 로고    scopus 로고
    • Automatic localization of anatomical point landmarks for brain image processing algorithms
    • Summer
    • Neu SC and Toga AW, "Automatic localization of anatomical point landmarks for brain image processing algorithms," Neuroinformatics. 2008 Summer, 6 (2) pp.135-48.
    • (2008) Neuroinformatics , vol.6 , Issue.2 , pp. 135-148
    • Neu, S.C.1    Toga, A.W.2
  • 28
    • 64549125571 scopus 로고    scopus 로고
    • Identification of novel antibacterial peptides by chemo-informatics and machine learning
    • Apr 9
    • Fjell CD, Jenssen H, Hilpert K, Cheung WA, Panté N, Hancock RE and Cherkasov A, "Identification of novel antibacterial peptides by chemo-informatics and machine learning," J Med Chem. 2009 Apr 9, 52(7), pp.2006-15.
    • (2009) J Med Chem. , vol.52 , Issue.7 , pp. 2006-2015
    • Fjell, C.D.1    Jenssen, H.2    Hilpert, K.3    Cheung, W.A.4    Panté, N.5    Hancock, R.E.6    Cherkasov, A.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.