AIMC Topic: Family Relations

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Elucidating the influence of familial interactions on geriatric depression: A comprehensive nationwide multi-center investigation leveraging machine learning.

Acta psychologica Apr 17, 2024
OBJECTIVE: A plethora of studies have unequivocally established the profound significance of harmonious familial relationships on the psychological well-being of the elderly. In this study, we elucidate the intergenerational relationships, probing th...
Family Relations Intergenerational Relations Sleep Retrospective Studies Machine Learning Humans China Aged Middle Aged Female Longitudinal Studies Cross-Sectional Studies Depression Male Aged, 80 and over
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Visual Kinship Recognition of Families in the Wild.

IEEE transactions on pattern analysis and machine intelligence Apr 13, 2018
We present the largest database for visual kinship recognition, Families In the Wild (FIW), with over 13,000 family photos of 1,000 family trees with 4-to-38 members. It took only a small team to build FIW with efficient labeling tools and work-flow....
Databases, Factual Male Female Neural Networks, Computer Family Characteristics Pattern Recognition, Automated Photography Family Relations Deep Learning Algorithms Family Cluster Analysis Humans Face Supervised Machine Learning
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Improving Quality of Life of Families Headed by Parents With Intellectual Disabilities and Their Children by Means of Assistive Social Robotics.

Journal of applied research in intellectual disabilities : JARID Mar 1, 2025
BACKGROUND: Families of parents with intellectual disabilities still face discrimination, stigma and inadequate support, placing them in vulnerable positions. Social assistive robotics offers promising support. This study investigates the possible im...
Quality of Life Qualitative Research Middle Aged Parents Robotics Child Child, Preschool Female Humans Male Adult Child of Impaired Parents Self-Help Devices Intellectual Disability Family Relations
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Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
BACKGROUND: Machine learning and deep learning are powerful tools for analyzing electronic health records (EHRs) in healthcare research. Although family health history has been recognized as a major predictor for a wide spectrum of diseases, research...
Risk Assessment Deep Learning Electronic Health Records Pedigree Humans Family Relations Inflammatory Bowel Diseases Medical History Taking Machine Learning Genetic Predisposition to Disease
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