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Volumn 31, Issue 6, 2007, Pages 547-550

Backpropagation ANN-based prediction of exertional heat illness

Author keywords

ANN; Backpropagation; Classification; Exertional heat illness

Indexed keywords

ACUTE KIDNEY FAILURE; ARTICLE; ARTIFICIAL NEURAL NETWORK; DEHYDRATION; HEADACHE; HEAT CRAMP; HEAT INJURY; HEAT STROKE; HYPERVENTILATION; HYSTERIA; MYALGIA; RHABDOMYOLYSIS; SYMPTOM; THIRST; VOMITING;

EID: 35348893838     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-007-9097-5     Document Type: Article
Times cited : (7)

References (10)
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    • Clinical diagnosis, management, and surveillance of exertional heat illness
    • Pandolf, K. B., and Burr, R. E., (Eds), Chapter 7
    • Gardner, J. W., and Kark, J. A., Clinical diagnosis, management, and surveillance of exertional heat illness. In: Pandolf, K. B., and Burr, R. E., (Eds), Medical Aspects of Harsh Environments. Chapter 7, Vol. 1, pp. 231-279, 2002.
    • (2002) Medical Aspects of Harsh Environments , vol.1 , pp. 231-279
    • Gardner, J.W.1    Kark, J.A.2
  • 3
    • 33846014309 scopus 로고    scopus 로고
    • Backpropagation artificial neural network detects changes in electro-encephalogram power spectra of syncopic patients
    • Sinha, R. K., Aggarwal, Y., and Das, B. N., Backpropagation artificial neural network detects changes in electro-encephalogram power spectra of syncopic patients. J. Med. Syst. 31:63-68, 2007.
    • (2007) J. Med. Syst. , vol.31 , pp. 63-68
    • Sinha, R.K.1    Aggarwal, Y.2    Das, B.N.3
  • 4
    • 34250850214 scopus 로고    scopus 로고
    • Backpropagation artificial neural network classifier to detect changes in heart sound due to mitral valve regurgitation
    • 3
    • Sinha, R. K., Aggarwal, Y., and Das, B. N., Backpropagation artificial neural network classifier to detect changes in heart sound due to mitral valve regurgitation. J. Med. Syst. 31(3):205-209, 2007.
    • (2007) J. Med. Syst. , vol.31 , pp. 205-209
    • Sinha, R.K.1    Aggarwal, Y.2    Das, B.N.3
  • 5
    • 33750487531 scopus 로고    scopus 로고
    • An approach to estimate EEG power spectrum as an index of heat stress using backpropagation artificial neural network
    • Sinha, R. K., An approach to estimate EEG power spectrum as an index of heat stress using backpropagation artificial neural network. Med. Eng. Phys. 29:120-124, 2007.
    • (2007) Med. Eng. Phys. , vol.29 , pp. 120-124
    • Sinha, R.K.1
  • 6
    • 2942744301 scopus 로고    scopus 로고
    • Electro-Encephalogram disturbances in different sleep-wake states following exposure to high environmental heat
    • Sinha, R. K., Electro-encephalogram disturbances in different sleep-wake states following exposure to high environmental heat. Med. Biol. Eng. Comput. 42:282-287, 2004.
    • (2004) Med. Biol. Eng. Comput. , vol.42 , pp. 282-287
    • Sinha, R.K.1
  • 7
    • 7244219929 scopus 로고    scopus 로고
    • An artificial neural network to detect EEG seizures
    • Sinha, R. K., Ray, A. K., and Agrawal, N. K., An artificial neural network to detect EEG seizures. Neurol. India 53:399-400, 2004.
    • (2004) Neurol. India , vol.53 , pp. 399-400
    • Sinha, R.K.1    Ray, A.K.2    Agrawal, N.K.3
  • 8
    • 0141926712 scopus 로고    scopus 로고
    • Artificial neural network detects changes in electro-encephalogram power spectrum of different sleep-wake states in an animal model of heat stress
    • Sinha, R. K., Artificial neural network detects changes in electro-encephalogram power spectrum of different sleep-wake states in an animal model of heat stress. Med. Biol. Eng. Comput. 41:595-600, 2003.
    • (2003) Med. Biol. Eng. Comput. , vol.41 , pp. 595-600
    • Sinha, R.K.1
  • 9
    • 0142155223 scopus 로고    scopus 로고
    • Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: Internal and external validation of a prediction model
    • Das, A., Ben-Menachem, T., Cooper, G. S., Chak, A., Jr. Sivak, M. V., Gonet, J. A., and Wong, R. C. K., Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: Internal and external validation of a prediction model. The Lancet 362:1261-1266, 2003.
    • (2003) The Lancet , vol.362 , pp. 1261-1266
    • Das, A.1    Ben-Menachem, T.2    Cooper, G.S.3    Chak Jr., A.4    Sivak, M.5    Gonet, V.6    Wong, J.A.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.