Sökning: WFRF:(Golka Klaus) > A data mining appro...
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000 | 04334naa a2200721 4500 | |
001 | oai:DiVA.org:uu-427569 | |
003 | SwePub | |
008 | 201209s2020 | |||||||||||000 ||eng| | |
009 | oai:prod.swepub.kib.ki.se:144424151 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4275692 URI |
024 | 7 | a https://doi.org/10.1017/S00071145200014392 DOI |
024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1444241512 URI |
040 | a (SwePub)uud (SwePub)ki | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Yu, Evan Y W4 aut |
245 | 1 0 | a A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study. |
264 | 1 | b Cambridge University Press,c 2020 |
338 | a print2 rdacarrier | |
520 | a At present, analysis of diet and bladder cancer (BC) is mostly based on the intake of individual foods. The examination of food combinations provides a scope to deal with the complexity and unpredictability of the diet and aims to overcome the limitations of the study of nutrients and foods in isolation. This article aims to demonstrate the usability of supervised data mining methods to extract the food groups related to BC. In order to derive key food groups associated with BC risk, we applied the data mining technique C5.0 with 10-fold cross-validation in the BLadder cancer Epidemiology and Nutritional Determinants study, including data from eighteen case-control and one nested case-cohort study, compromising 8320 BC cases out of 31 551 participants. Dietary data, on the eleven main food groups of the Eurocode 2 Core classification codebook, and relevant non-diet data (i.e. sex, age and smoking status) were available. Primarily, five key food groups were extracted; in order of importance, beverages (non-milk); grains and grain products; vegetables and vegetable products; fats, oils and their products; meats and meat products were associated with BC risk. Since these food groups are corresponded with previously proposed BC-related dietary factors, data mining seems to be a promising technique in the field of nutritional epidemiology and deserves further examination. | |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Näringslära0 (SwePub)303042 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Nutrition and Dietetics0 (SwePub)303042 hsv//eng |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng |
653 | a Bladder cancer | |
653 | a Data mining | |
653 | a Epidemiological studies | |
653 | a Food groups | |
700 | 1 | a Wesselius, Anke4 aut |
700 | 1 | a Sinhart, Christoph4 aut |
700 | 1 | a Wolk, Alicjau Karolinska Institutet4 aut0 (Swepub:uu)alwol516 |
700 | 1 | a Stern, Mariana Carla4 aut |
700 | 1 | a Jiang, Xuejuan4 aut |
700 | 1 | a Tang, Li4 aut |
700 | 1 | a Marshall, James4 aut |
700 | 1 | a Kellen, Eliane4 aut |
700 | 1 | a van den Brandt, Piet4 aut |
700 | 1 | a Lu, Chih-Ming4 aut |
700 | 1 | a Pohlabeln, Hermann4 aut |
700 | 1 | a Steineck, Gunnar4 aut |
700 | 1 | a Allam, Mohamed Farouk4 aut |
700 | 1 | a Karagas, Margaret R4 aut |
700 | 1 | a La Vecchia, Carlo4 aut |
700 | 1 | a Porru, Stefano4 aut |
700 | 1 | a Carta, Angela4 aut |
700 | 1 | a Golka, Klaus4 aut |
700 | 1 | a Johnson, Kenneth C4 aut |
700 | 1 | a Benhamou, Simone4 aut |
700 | 1 | a Zhang, Zuo-Feng4 aut |
700 | 1 | a Bosetti, Cristina4 aut |
700 | 1 | a Taylor, Jack A4 aut |
700 | 1 | a Weiderpass, Elisabete4 aut |
700 | 1 | a Grant, Eric J4 aut |
700 | 1 | a White, Emily4 aut |
700 | 1 | a Polesel, Jerry4 aut |
700 | 1 | a Zeegers, Maurice P A4 aut |
710 | 2 | a Karolinska Institutet4 org |
773 | 0 | t British Journal of Nutritiond : Cambridge University Pressg 124:6, s. 611-619q 124:6<611-619x 0007-1145x 1475-2662 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-427569 |
856 | 4 8 | u https://doi.org/10.1017/S0007114520001439 |
856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:144424151 |
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