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The system\u2019s underlying optimization model incorporates two user-specific utility functions\u2014one that quantifies life-saving benefits and one that quantifies harms, such as unnecessary follow-up tests, surgeries, or treatments. The system requires sound decision making. Therefore, the decision making process was studied using a decision aid in the form of a color-coded matrix with the potential outcomes randomly placed in proportion to their likelihoods. Data were collected from 48 study participants, based on a central composite experimental design. The results show that the DSS can be effective, but health consumers may not be rational decision makers.<\/jats:p>","DOI":"10.1177\/1460458220949484","type":"journal-article","created":{"date-parts":[[2020,8,17]],"date-time":"2020-08-17T05:57:56Z","timestamp":1597643876000},"page":"2877-2891","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Consumer health informatics approach for personalized cancer screening decisions using utility functions"],"prefix":"10.1177","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8061-3330","authenticated-orcid":false,"given":"John","family":"Maleyeff","sequence":"first","affiliation":[{"name":"Metropolitan College, Boston University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danrong","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Arts & Sciences, Boston University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,8,17]]},"reference":[{"key":"bibr1-1460458220949484","unstructured":"American Medical Informatics Association. 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