A study of health effects of long-distance ocean voyages on seamen using a data classification approach

BMC Medical Informatics and Decision Making

Volumn 10, Issue 1, 2010, Pages

  Lu, Yunmei ^a   Gao, Yanhong ^b   Cao, Zhongbo ^a   Cui, Juan ^c,d   Dong, Zhennan ^b   Tian, Yaping ^b   Xu, Ying ^a,c,d  

^a JILIN UNIVERSITY   (China)

^b CHINESE PLA GENERAL HOSPITAL   (China)

^c University of Georgia ^*  (United States)

^d UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; BLOOD ANALYSIS; HUMAN; INFORMATION PROCESSING; MALE; MEDICINE; SHIP; TRAVEL;

ARTIFICIAL INTELLIGENCE; BLOOD CHEMICAL ANALYSIS; DATA COLLECTION; HUMANS; MALE; NAVAL MEDICINE; SHIPS; TRAVEL;

EID: 77949447779     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-10-13     Document Type: Article

References (21)

1. Advance in Research of Effects of Ship Environment on Seamen. RP Zhang XC Sun B Zhang, Prev Med Chin PLA 2006 24 2 149 151
2. Analyses of neurotic symptoms and subjective symptoms of fatigue in seamen during a long voyage. T Kamada N Lwata Y Kojima, Sangyo lgaku 1990 32 6 461 469
3. Central hemodynamics in seamen during trans - latitudinal voyage. IL Myznikov Shcherbina, Gig Sanit 2004 1 34 37 15017880
4. Cardiological monitoring of sailors via offshore Internet connection. TJ Luger R Giner IH Lorenz, J Sports Med Phys Fitness 2001 41 4 486 490 11687768
5. Parameters of central hemodynamics in sailors on voyage cruises of varying length. FA Shcherbina IL Myznikov, Aviakosm Ekolog Med 2000 34 4 67 68 11186591
6. Psychosocial hazards and seafarer health: priorities for research and practice. S Leka, International Maritime Health 2004 55 1-4 137 153 15881550
7. Enduring the ship-board stressor complex: a systems approach. CA Comperatore PK Rivera L Kingsley, Aviation, pace and environment medicine 2005 76 6, Suppl 108 118
8. The dynamics of anti - influenza immunity in sailors of the Baltic Fleet. VV Protasov VM Slezinger MP Antiukhova, Voen Med Zh 1996 317 9 33 34 8992744
9. Morbidity in seamen during long voyages according to the results of long - term studies. IL Myznikov MG Makhrov Dlu Rogovanov, Voen Med Zh 2000 321 7 60 63 12886542
10. Myocardial infarction and sudden cardiac death in seamen of the north shipline. EV Serdechnaia EV Kazakevich VV Popov, Klin Med (Mosk) 1999 77 11 19 21 10635625
11. Selected risk factors of ischemic heart disease in Polish seafarers. J Filikowski M Rzepiak W Renke, International Maritime Health 2003 54 1-4 40 46 14974776
12. Lone-term Voyages and Bone Mass Among Seamen. J Abo KoikeYoshio, The Report of Tokyo University of Fisheries 2003 39 25 33
13. Effects of different work environment on the immune function of naval personel. YH Gao QL Yu, Prev Med Chin PLA 2008 33 2 226 228
14. Gene Selection for Cancer Classification using Support Vector Machines. I Guyon J Weston S Barnhill, Machine Learning 2002 46 389 422 10.1023/A:1012487302797
15. The nature of statistical learning theory. V Vapnik, Springer Verlag 1995
16. Support Vector Machines for Classification and Regression. SR Gunn, Technical Report 1998
17. Multi-Class cancer classification by using fuzzy support vector machine and binary decision tree with gene selection. Y Mao XB Zhou DY Pi YX Sun STC Wong, Biomed Biotechnol 2005 2 160 171 10.1155/JBB.2005.160
18. Accelerated Recursive Feature Elimination Based on Support Vector Machine for Key Variable Identification. Y Mao DY Pi YM Liu YX Sun, Chinese J Chem Eng 2006 14 1 65 72 10.1016/S1004-9541(06)60039-6
19. Irrelevant Features and the Subset Selection Problem. GH John R Kohavi K Pfleger, Proc of 11th National Conf on Machine learning, New Brunswick, Cohen WW, Hirsh H, 1994 121 129
20. The feature selection problem: Traditional methods and a new algorithm. K Kira LA Rendell, Proc of 9th National Conf on AI, San Jose, William RS, 1992 129 134
21. Medical Encyclopedia. http://www.nlm.nih.gov/medlineplus/encyclopedia. html