AIMC Topic: Mother-Child Relations

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Predicting mother and newborn skin-to-skin contact using a machine learning approach.

BMC pregnancy and childbirth Feb 18, 2025
BACKGROUND: Despite the known benefits of skin-to-skin contact (SSC), limited data exists on its implementation, especially its influencing factors. The current study was designed to use machine learning (ML) to identify the predictors of SSC.
Female Infant, Newborn Machine Learning Pregnancy Humans Mother-Child Relations Kangaroo-Mother Care Method Adult Mothers
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Machine learning approach to measurement of criticism: The core dimension of expressed emotion.

Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) Aug 19, 2021
Expressed emotion (EE), a measure of the family's emotional climate, is a fundamental measure in caregiving research. A core dimension of EE is the level of criticism expressed by the caregiver to the care recipient, with a high level of criticism a ...
Female Aged Humans Machine Learning Male Speech Young Adult Adult Mother-Child Relations Expressed Emotion Adult Children Caregivers Schizophrenic Psychology Schizophrenia Mothers
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Using automated computer vision and machine learning to code facial expressions of affect and arousal: Implications for emotion dysregulation research.

Development and psychopathology Mar 28, 2019
As early as infancy, caregivers' facial expressions shape children's behaviors, help them regulate their emotions, and encourage or dissuade their interpersonal agency. In childhood and adolescence, proficiencies in producing and decoding facial expr...
Affect Facial Expression Arousal Mother-Child Relations Child Emotions Adolescent Machine Learning Software Female Humans Male
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Artificial neural network coding of the child attachment interview using linguistic data.

Attachment & human development Sep 26, 2017
Assessing attachment in adolescents is important due to relations between insecurity and psychopathology. The child attachment interview (CAI) holds promise in this regard, but is time-consuming to code, which may render it inaccessible. The aim of t...
Reproducibility of Results Male Adolescent Interview, Psychological Neural Networks, Computer Child Humans Object Attachment Female Mother-Child Relations
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Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis.

American journal of speech-language pathology May 17, 2017
PURPOSE: This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language assessments, and extended on previous research reporting language behavior differences...
Vocabulary Natural Language Processing Mother-Child Relations Communication Social Environment Female Semantics Male Child, Preschool Tape Recording Humans Educational Status Verbal Behavior Socioeconomic Factors Language Development Disorders
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