Understanding Cancer Caregiving and Predicting Burden: An Analytics and Machine Learning Approach.

Cancer caregivers are often informal family members who may not be prepared to adequately meet the needs of patients and often experience high stress along with significant physical, emotional, and financial burdens. Accurate prediction of caregiver's burden level is highly valuable for early intervention and support. In this study, we used several machine learning approaches to build prediction models from the National Alliance for Caregiving/AARP dataset.

Survey examination of resilience, psychological, and relational well-being during COVID-19: A developmental and cross-cultural dataset.

The datasets include relevant psychological and demographic variables relating to people's relationships, perceptions, and reactions to the Covid-19 pandemic. Participants were recruited from the United States ( = 396), China ( = 156), and Iran ( = 248). Participants were directed to an online survey that assessed their psychological well-being, affective states, factors related to life satisfaction, and their experiences with the Covid-19 pandemic.