Anna Markella Antoniadi

TL;DR: An overall distinct lack of application of XAI is found in the context of CDSS and, in particular, a lack of user studies exploring the needs of clinicians is found.

TL;DR: Generally, the authors' models are better in predicting the high-risk category, and it is suggested that information related to the caregiver’s quality of life and psychological distress is required.

TL;DR: Examination of the relationship between undergraduate Computer Science students' participation in networking, outreach, and mentoring activities and their sense of belonging reveals lower levels of sense of belong in women and self-identified minorities, however, it is observed that a higher sense of belonged in female students who participated in networking and outreach activities are observed.

TL;DR: In this article, the authors identify caregivers whose quality of life may be impacted as a result of caring for a person with ALS and develop a model for clinical use to alert clinicians when a caregiver is at risk of experiencing low QoL.

TL;DR: In this paper, the authors developed a Clinical Decision Support System (CDSS) to alert clinicians when a patient is at risk of experiencing low quality of life (QoL).