SCOPUS 정보 검색 플랫폼

BioData Mining

Volumn 9, Issue 1, 2016, Pages

A call for biological data mining approaches in epidemiology

(2) Lynch, Shannon M a Moore, Jason H b

a FOX CHASE CANCER CENTER (United States)

b UNIVERSITY OF PENNSYLVANIA (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOINFORMATICS; CONCEPTUAL FRAMEWORK; DATA MINING; EDITORIAL; EPIDEMIOLOGICAL DATA; INFORMATION PROCESSING; LEARNING ALGORITHM; MACHINE LEARNING; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR; SMOKING; SOCIAL PSYCHOLOGY;

EID: 84952937024 PISSN: None EISSN: 17560381 Source Type: Journal
DOI: 10.1186/s13040-015-0079-8 Document Type: Editorial

Times cited : (9)

References (8)

1
- 84876543915
- Bridging the Gap between biologic, individual, and macroenvironmental factors in cancer: A multilevel approach
- Lynch SM, Rebbeck TR. Bridging the Gap between biologic, individual, and macroenvironmental factors in cancer: a multilevel approach. Cancer Epidemiol Biomarkers Prev. 2013;22(4):485-95.
- (2013) Cancer Epidemiol Biomarkers Prev , vol.22 , Issue.4 , pp. 485-495
- Lynch, S.M.¹ Rebbeck, T.R.²

2
- 84929159928
- Charting a future for epidemiologic training
- Brownson RC, Samet JM, Chavez GF, Davies MM, Galea S, Hiatt RA, et al. Charting a future for epidemiologic training. Ann Epidemiol. 2015;25(6):458-65.
- (2015) Ann Epidemiol , vol.25 , Issue.6 , pp. 458-465
- Brownson, R.C.¹ Samet, J.M.² Chavez, G.F.³ Davies, M.M.⁴ Galea, S.⁵ Hiatt, R.A.⁶

3
- 84875632541
- Machine learning approaches for the discovery of gene-gene interactions in disease data
- 22611119 1:CAS:528:DC%2BC3sXkvFKrtbY%3D
- Upstill-Goddard R, Eccles D, Fliege J, Collins A. Machine learning approaches for the discovery of gene-gene interactions in disease data. Brief Bioinform. 2013;14(2):251-60.
- (2013) Brief Bioinform , vol.14 , Issue.2 , pp. 251-260
- Upstill-Goddard, R.¹ Eccles, D.² Fliege, J.³ Collins, A.⁴

4
- 84922558931
- Formalizing the role of agent-based modeling in causal inference and epidemiology
- Marshall BDL, Galea S. Formalizing the role of agent-based modeling in causal inference and epidemiology. Am J Epidemiol. 2015;181(2):92-9.
- (2015) Am J Epidemiol , vol.181 , Issue.2 , pp. 92-99
- Marshall, B.D.L.¹ Galea, S.²

5
- 84942612935
- Machine learning applications in cancer prognosis and prediction
- Kourou K, Exarchos TP, Exarchos KP, Karamouzis MV, Fotiadis DI, et al. Machine learning applications in cancer prognosis and prediction. Comput Struct Biotechnol Jl. 2015;13:8-17.
- (2015) Comput Struct Biotechnol Jl. , vol.13 , pp. 8-17
- Kourou, K.¹ Exarchos, T.P.² Exarchos, K.P.³ Karamouzis, M.V.⁴ Fotiadis, D.I.⁵

6
- 84929104049
- Networks in Coronary Heart Disease Genetics As a Step Towards Systems Epidemiology
- e0125876
- Drenos F, Grossi E, Buscema M, Humphries SE. Networks in Coronary Heart Disease Genetics As a Step Towards Systems Epidemiology. PLoS One, 2015, 10(5):e0125876.
- (2015) PLoS One , vol.10 , Issue.5
- Drenos, F.¹ Grossi, E.² Buscema, M.³ Humphries, S.E.⁴

7
- 0034192615
- The learning classifier system: An evolutionary computation approach to knowledge discovery in epidemiologic surveillance
- 10767616 1:STN:280:DC%2BD3c3jtFGmug%3D%3D
- Holmes JH, Durbin DR, Winston FK. The learning classifier system: an evolutionary computation approach to knowledge discovery in epidemiologic surveillance. Artif Intell Med. 2000;19(1):53-74.
- (2000) Artif Intell Med , vol.19 , Issue.1 , pp. 53-74
- Holmes, J.H.¹ Durbin, D.R.² Winston, F.K.³

8
- 84960417268
- From Smallpox to Big Data: The Next 100 Years of Epidemiologic Methods
- In press
- Gange, SJ and ET Golub. From Smallpox to Big Data: The Next 100 Years of Epidemiologic Methods. Am J Epidemiol, 2015. In press.
- (2015) Am J Epidemiol
- Gange, S.J.¹ Golub, E.T.²

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.