Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Identification of Coding Regions in Prokaryotic DNA Sequences Using Bayesian Classification Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Behavioral Risk Factors Based Cancer Prediction Model Utilizing Public and Personal Health Records

Authors : Emil Saweros, Yeong-Tae Song

Published in: Bioinformatics and Biomedical Engineering

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Cancer has become one of the major public health problems worldwide while the etiology of cancer remains largely unknown. Even with advanced cancer research, prediction of it has not been as practical as those of other chronic diseases such as diabetes. However, behavioral risk factors (BRF) may be used to monitor and predict cancer diseases. Such factors can be used to demonstrate and educate the general public on potential cancer pathways and possible outcomes. For that purpose, we have analyzed public health data and personal health records and discovered some histological features related to behavioral risk factors in the cancer diseases. Such characteristics are then used to assess each individual’s BRFs for classification and prognosis of the diseases. It plays a key role in many health-related realms, including increasing patient awareness on BRFs, developing related medical procedures, the way of handling patients’ records and the treatment of chronic diseases. In this paper, we presented predictive analysis based on some BRFs that might contribute to increase the chances of developing cancer disease.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Pin-Code Authentication by Local Proximity Based Touchstroke Classifier
next chapter IoMT-Driven eHealth: A Technological Innovation Proposal Based on Smart Speakers
Literature
1.
Shah, S.I.A.: An update on the risk factors for prostate cancer. World Cancer Res. J. 3(2), e711 (2016)
2.
Dwyer-Lindgren, L., Flaxman, A.D., Ng, M., Hansen, G.M., Murray, C.J.L., Mokdad, A.H.: Drinking patterns in US counties from 2002 to 2012. Am. J. Public Health 105(6), 1120–1127 (2015)PubMedPubMedCentralCrossRef
3.
Dwyer-Lindgren, L., et al.: Prevalence of physical activity and obesity in US counties, 2001–2011: a road map for action. Popul. Health Metr. 11(1), 1–11 (2013)CrossRef
4.
Dwyer-Lindgren, L., Mokdad, A.H., Srebotnjak, T., Flaxman, A.D., Hansen, G.M., Murray, C.J.L.: Cigarette smoking prevalence in US counties: 1996–2012. Popul. Health Metr. 12(1), 1–13 (2014)CrossRef
5.
Mokdad, A.H., Marks, J.S., Stroup, D.F., Gerberding, J.L.: Actual causes of death in the United States, 2000. J. Am. Med. Assoc. 291(10), 1238–1245 (2004)CrossRef
6.
Danaei, G., Vander Hoorn, S., Lopez, A.D., Murray, C.J.L., Ezzati, M.: Causes of cancer in the world: comparative risk assessment of nine behavioural and environmental risk factors. Lancet 366(9499), 1784–1793 (2005)
7.
8.
9.
10.
11.
Mokdad, A.H.: The behavioral risk factors surveillance system: past, present, and future. Annu. Rev. Public Health 30(1), 43–54 (2009)PubMedCrossRef
12.
Phillips-Salimi, C.R., Lommel, K., Andrykowski, M.A.: Physical and mental health status and health behaviors of childhood cancer survivors: Findings from the 2009 BRFSS survey. Pediatr. Blood Cancer 58(6), 964–970 (2012)PubMedCrossRef
13.
Mukherjee, K., Segal, R.: Discussions with healthcare providers about prostate-specific antigen testing: evidence from the behavioral risk factor surveillance system in the USA. J. Pharm. Heal. Serv. Res. 6(1), 47–52 (2015)
14.
Wiener, R.C., Sambamoorthi, U.: Cross-sectional association between the number of missing teeth and cardiovascular disease among adults aged 50 or Older: BRFSS 2010. Int. J. Vasc. Med. 2014, 6 (2014)
15.
Faestel, P.M., Littell, C.T., Vitiello, M.V., Forsberg, C.W., Littman, A.J.: Perceived insufficient rest or sleep among veterans: behavioral risk factor surveillance system 2009. J. Clin. Sleep Med. 9(6), 577–584 (2013)PubMedPubMedCentralCrossRef
16.
Hendriks, H., Calame, W.: The contribution of alcohol consumption to overall cancer incidence in the western world: a meta-analysis. J. Nutr. Heal. Sci. 5(3), 308 (2018)
17.
Buck, K.D.: Modelling of geographic cancer risk factor disparities in US counties. Appl. Geogr. 75, 28–35 (2016)CrossRef
18.
Mukamal, K.J., Ding, E.L., Djoussé, L.: Alcohol consumption, physical activity, and chronic disease risk factors: a population-based cross-sectional survey. BMC Public Health 6, 1–9 (2006)CrossRef
19.
Newschaffer, C.J.: Jefferson Medical College - Center for Research in Medical Education and Health Care. Validation of behavioral risk factor surveillance system (BRFSS) HRQOL measures in a statewide sample (1998)
20.
Zhao, J., Stockwell, T., Roemer, A., Chikritzhs, T.: Is alcohol consumption a risk factor for prostate cancer? A systematic review and meta-analysis. BMC Cancer 16(1), 1–13 (2016)CrossRef
21.
Brotman, D.J., Walker, E., Lauer, M.S., O’Brien, R.G.: In search of fewer independent risk factors. Arch. Intern. Med. 165(2), 138–145 (2005)PubMedCrossRef
22.
Soucie, J.M.: Public health surveillance and data collection: general principles and impact on hemophilia care. Hematology 17(1), 1–6 (2015)
23.
24.
Metadata
Title
Behavioral Risk Factors Based Cancer Prediction Model Utilizing Public and Personal Health Records
Authors
Emil Saweros
Yeong-Tae Song
Copyright Year
2020
Book
Bioinformatics and Biomedical Engineering

Print ISBN: 978-3-030-45384-8

Electronic ISBN: 978-3-030-45385-5

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-45385-5_32

Premium Partner

    Image Credits