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- ArticleOctober 2024
Machine Learning for the Identification of Biomarker and Risk Factors associated with Depression in Adult Population: Preliminary Results on a Small Cohort
AbstractIn this study we identify some risk factors for depression from the sociodemographic factors and inflammatory biomarkers from a sample of depressed subjects versus a matched group of healthy subjects. The multivariate logistic regression and ...
- research-articleApril 2023
Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit
WWW '23: Proceedings of the ACM Web Conference 2023Pages 2777–2786https://doi.org/10.1145/3543507.3583468We evaluate homophily and heterophily among ideological and demographic groups in a typical opinion formation context: online discussions of current news. We analyze user interactions across five years in the r/news community on Reddit, one of the most ...
- research-articleMay 2021
Examining the Use of Online Platforms for Employment: A Survey of U.S. Job Seekers
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing SystemsArticle No.: 562, Pages 1–23https://doi.org/10.1145/3411764.3445350Online employment resources are now as important as offline personal and professional networks, which have been pivotal in finding employment. However, it is unclear, which specific online resources are key to employment and how job seekers take ...
- ArticleApril 2020
Impact of Socio-Demographic Factors on the Acceptance of Information Communication and Technology (ICT) for Diabetes Self-care
Responsible Design, Implementation and Use of Information and Communication TechnologyPages 73–83https://doi.org/10.1007/978-3-030-45002-1_7AbstractThis research investigates the impact of socio-demographic factors such as age, gender, income and location on ICT acceptance for diabetes self-care. The investigation is due to the increasing number of diabetic patients in South Africa, where ...