AIMC Topic: Family Characteristics

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Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory.

Drug and alcohol dependence Aug 1, 2020
BACKGROUND: Transdermal biosensors offer a noninvasive, low-cost technology for the assessment of alcohol consumption with broad potential applications in addiction science. Older-generation transdermal devices feature bulky designs and sparse sampli...
Laboratories Alcohol Drinking Family Characteristics Ethanol Breath Tests Adult Male Smartphone Biosensing Techniques Machine Learning Female Humans
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Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies.

Proceedings of the National Academy of Sciences of the United States of America Jul 27, 2020
Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., ...
Interpersonal Relations Humans Female Family Characteristics Longitudinal Studies Machine Learning Self Report Male
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Machine-learned modeling of PM exposures in rural Lao PDR.

The Science of the total environment Apr 18, 2019
This study presents a machine-learning-enhanced method of modeling PM personal exposures in a data-scarce, rural, solid fuel use context. Data collected during a cookstove (Africa Clean Energy (ACE)-1 solar-battery-powered stove) intervention program...
Air Pollutants Air Pollution Particulate Matter Environmental Exposure Humans Family Characteristics Machine Learning Models, Statistical Cooking Rural Population Laos Environmental Monitoring
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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....
Face Pattern Recognition, Automated Female Cluster Analysis Deep Learning Male Algorithms Supervised Machine Learning Humans Family Relations Databases, Factual Family Family Characteristics Neural Networks, Computer Photography
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The impact of intelligent devices utilization on household medical expenditure of older adults in China.

Scientific reports Jul 2, 2025
With the rapid development of artificial intelligence, there is an increasing utilization of intelligent devices by older adults. The relationship between the utilization of intelligent devices and household medical expenditure has garnered widesprea...
Aged, 80 and over Male Female Aged Longitudinal Studies Family Characteristics Middle Aged Health Expenditures Humans China Artificial Intelligence
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A machine learning approach to estimate domestic use of public and private water sources in the United States.

Water research May 15, 2025
In the United States, people obtain water for household use from one of two sources. Public water systems, which are subject to rules and regulations under the Safe Drinking Water Act, or private sources such as domestic wells, which are not subject ...
Family Characteristics Drinking Water Water Supply Machine Learning United States Humans
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What Tears Couples Apart: A Machine Learning Analysis of Union Dissolution in Germany.

Demography Feb 1, 2022
This study contributes to the literature on union dissolution by adopting a machine learning (ML) approach, specifically Random Survival Forests (RSF). We used RSF to analyze data on 2,038 married or cohabiting couples who participated in the German ...
Machine Learning Family Characteristics Germany Humans Marriage
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