AIMC Topic: Family

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Text mining in long-term care: Exploring the usefulness of artificial intelligence in a nursing home setting.

PloS one Aug 25, 2022
OBJECTIVES: In nursing homes, narrative data are collected to evaluate quality of care as perceived by residents or their family members. This results in a large amount of textual data. However, as the volume of data increases, it becomes beyond the ...
Nursing Homes Long-Term Care Humans Artificial Intelligence Aged Data Mining Family
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Construction of Cognitive Model of Family Education Decision-Making Based on Neural Network.

Occupational therapy international Jul 5, 2022
Family's academic cognition influences the family's academic concept, rearing fashion, and academic participation. It is no longer solely associated to kid's bodily and intellectual development; however, additionally associated to household concord a...
Humans Neural Networks, Computer Educational Status Models, Educational Family Parenting Parents Cognition Decision Making Academic Success
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Commentary to "Translational machine learning for child and adolescent psychiatry".

Journal of child psychology and psychiatry, and allied disciplines Mar 7, 2022
In this commentary on 'Translational Machine Learning for Child and Adolescent Psychiatry,' by Dwyer and Koutsouleris, we summarize some of the main points made by the authors, which highlight the importance of emerging applications of machine learni...
Humans Artificial Intelligence Child Family Adolescent Psychiatry Machine Learning Mental Disorders Adolescent
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Technology Matters: Machine learning approaches to personalised child and adolescent mental health care.

Child and adolescent mental health Feb 26, 2022
There has been much interest in the potential for machine learning and artificial intelligence to enhance health care. In this article, we discuss the potential applications of the technology to child and adolescent mental health services (CAMHS). We...
Family Humans Artificial Intelligence Mental Health Machine Learning Adolescent Technology Child
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Annual Research Review: Translational machine learning for child and adolescent psychiatry.

Journal of child psychology and psychiatry, and allied disciplines Jan 17, 2022
Children and adolescents could benefit from the use of predictive tools that facilitate personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been deployed using traditional statistical methods, potentially due to the li...
Family Adolescent Psychiatry Machine Learning Humans Adolescent Child
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AdvKin: Adversarial Convolutional Network for Kinship Verification.

IEEE transactions on cybernetics Dec 22, 2021
Kinship verification in the wild is an interesting and challenging problem. The goal of kinship verification is to determine whether a pair of faces are blood relatives or not. Most previous methods for kinship verification can be divided as handcraf...
Family Humans Neural Networks, Computer
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Gender Stereotypes in Natural Language: Word Embeddings Show Robust Consistency Across Child and Adult Language Corpora of More Than 65 Million Words.

Psychological science Jan 5, 2021
Stereotypes are associations between social groups and semantic attributes that are widely shared within societies. The spoken and written language of a society affords a unique way to measure the magnitude and prevalence of these widely shared colle...
Family Natural Language Processing Semantics Humans Language Adult Child
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Exploring gene-gene interaction in family-based data with an unsupervised machine learning method: EPISFA.

Genetic epidemiology Sep 1, 2020
Gene-gene interaction (G × G) is thought to fill the gap between the estimated heritability of complex diseases and the limited genetic proportion explained by identified single-nucleotide polymorphisms. The current tools for exploring G × G were oft...
Humans Algorithms Case-Control Studies Models, Genetic Linkage Disequilibrium Multifactor Dimensionality Reduction Factor Analysis, Statistical Unsupervised Machine Learning Family Ischemic Stroke Epistasis, Genetic
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Using social robot PLEO to enhance the well-being of hospitalised children.

Journal of child health care : for professionals working with children in the hospital and community Aug 25, 2020
Hospitalisation is stressful for children. Play material is often offered for distraction and comfort. We explored how contact with social robot PLEO could positively affect a child's well-being. To this end, we performed a multiple case study on the...
Social Interaction Child, Hospitalized Parents Robotics Family Male Child Humans Female Adult
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Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery.

World neurosurgery Mar 14, 2020
BACKGROUND: Artificial intelligence (AI) may favorably support surgeons but can result in concern among patients and their relatives. The aim of this study was to evaluate attitudes of patients and their relatives regarding use of AI in neurosurgery.
Image Processing, Computer-Assisted Neurosurgery Young Adult Female Humans Surveys and Questionnaires Adult Patients Male Family Aged Artificial Intelligence Cross-Sectional Studies Adolescent Middle Aged Attitude Aged, 80 and over Postoperative Complications Patient Care Planning
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