Matt Matlock, Nakeisha Schimke, Liang Kong, Stephen Macke, John Hale
{"title":"Systematic Redaction for Neuroimage Data.","authors":"Matt Matlock, Nakeisha Schimke, Liang Kong, Stephen Macke, John Hale","doi":"10.4018/jcmam.2012040104","DOIUrl":"https://doi.org/10.4018/jcmam.2012040104","url":null,"abstract":"<p><p>In neuroscience, collaboration and data sharing are undermined by concerns over the management of protected health information (PHI) and personal identifying information (PII) in neuroimage datasets. The HIPAA Privacy Rule mandates measures for the preservation of subject privacy in neuroimaging studies. Unfortunately for the researcher, the management of information privacy is a burdensome task. Wide scale data sharing of neuroimages is challenging for three primary reasons: (i) A dearth of tools to systematically expunge PHI/PII from neuroimage data sets, (ii) a facility for tracking patient identities in redacted datasets has not been produced, and (iii) a sanitization workflow remains conspicuously absent. This article describes the XNAT Redaction Toolkit-an integrated redaction workflow which extends a popular neuroimage data management toolkit to remove PHI/PII from neuroimages. Quickshear defacing is also presented as a complementary technique for deidentifying the image data itself. Together, these tools improve subject privacy through systematic removal of PII/PHI.</p>","PeriodicalId":89389,"journal":{"name":"International journal of computational models and algorithms in medicine","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/jcmam.2012040104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31823511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identifying Temporal Changes and Topics that Promote Growth Within Online Communities: A Prospective Study of Six Online Cancer Forums.","authors":"Kathleen T Durant, Alexa T McCray, Charles Safran","doi":"10.4018/jcmam.2011040101","DOIUrl":"10.4018/jcmam.2011040101","url":null,"abstract":"<p><p>In this paper the authors have extended the methodology for temporal analysis of online forums and applied the methodology to six online cancer forums (melanoma, prostate cancer, testicular cancer, ovarian cancer and breast cancer). The goal was to develop, apply and improve methods that quantify the responsiveness of the interactions in online forums in order to identify the users and topics that promote use and usefulness of these online medical communities. The evolutional stages that gauge when a forum is expanding, contracting, or in a state of equilibrium were considered. The response function was thought to be an approximation of a discussion group's utility to its members. By applying the evolutionary phase algorithm, it was determined that two out of six of the forums are in contracting phases, while four are in their largest growth phase. By analyzing the topics of the influential threads, the authors conclude that cancer treatment discussions as well as stage IV cancer discussions promote growth in the forums. It is observed that the discussion of treatment rather than diagnosis is important to help a cancer forum thrive.</p>","PeriodicalId":89389,"journal":{"name":"International journal of computational models and algorithms in medicine","volume":"2 2","pages":"1-22"},"PeriodicalIF":0.0,"publicationDate":"2011-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3183581/pdf/nihms314336.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30227046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}