AIMC Topic: Breast Feeding

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Association between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study.

International breastfeeding journal May 14, 2024
BACKGROUND: Breastfeeding resets insulin resistance caused by pregnancy however, studies on the association between breastfeeding and diabetes mellitus (DM) have reported inconsistent results. Therefore, we aimed to investigate the risk of DM accordi...
Breast Feeding Menopause Female Humans Aged Machine Learning Middle Aged Retrospective Studies Prevalence Republic of Korea Time Factors Nutrition Surveys Diabetes Mellitus Glycated Hemoglobin
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Application of Statistical Analysis and Machine Learning to Identify Infants' Abnormal Suckling Behavior.

IEEE journal of translational engineering in health and medicine Apr 17, 2024
OBJECTIVE: Identify infants with abnormal suckling behavior from simple non-nutritive suckling devices.
Humans Machine Learning Signal Processing, Computer-Assisted Breast Feeding Sucking Behavior Female Infant, Newborn Male Infant
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Ethical Use of Artificial Intelligence for Scientific Writing: Current Trends.

Journal of human lactation : official journal of International Lactation Consultant Association Mar 14, 2024
Humans Artificial Intelligence Female Breast Feeding
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Predicting exclusive breastfeeding in maternity wards using machine learning techniques.

Computer methods and programs in biomedicine Apr 26, 2022
BACKGROUND AND OBJECTIVE: Adequate support in maternity wards is decisive for breastfeeding outcomes during the first year of life. Quality improvement interventions require the identification of the factors influencing hospital benchmark indicators....
Breast Feeding Mothers Infant, Newborn Infant Hospitals Health Promotion Humans Artificial Intelligence Machine Learning Pregnancy Female
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Cohort profile: Japanese human milk study, a prospective birth cohort: baseline data for lactating women, infants and human milk macronutrients.

BMJ open Dec 30, 2021
PURPOSE: The Japanese Human Milk Study, a longitudinal prospective cohort study, was set up to clarify how maternal health, nutritional status, lifestyle and sociodemographic and economic factors affect breastfeeding practices and human milk composit...
Nutrients Cohort Studies Fatty Acids Child Carbohydrates Milk, Human Phospholipids Vitamin D Female Humans Osteopontin Cesarean Section Prospective Studies Japan Male Pregnancy Lactation Infant Breast Feeding
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A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type.

PLoS computational biology May 11, 2020
The microbiome is a new frontier for building predictors of human phenotypes. However, machine learning in the microbiome is fraught with issues of reproducibility, driven in large part by the wide range of analytic models and metagenomic data types ...
Breast Feeding Metagenomics Geography Female Male Infant Models, Theoretical Machine Learning Algorithms Anti-Bacterial Agents Humans
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Social Media Surveillance of Multiple Sclerosis Medications Used During Pregnancy and Breastfeeding: Content Analysis.

Journal of medical Internet research Aug 7, 2019
BACKGROUND: Multiple sclerosis (MS) is a chronic neurological disease occurring mostly in women of childbearing age. Pregnant women with MS are usually excluded from clinical trials; as users of the internet, however, they are actively engaged in thr...
Pregnancy Female Adult Risk Assessment Social Media Breast Feeding Multiple Sclerosis Humans Machine Learning
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Evaluating the usability of an interactive, bi-lingual, touchscreen-enabled breastfeeding educational programme: application of Nielson's heuristics.

Journal of innovation in health informatics Mar 5, 2015
The study purpose was to conduct heuristic evaluation of an interactive, bilingual touchscreen-enabled breastfeeding educational programme for Hispanic women living in rural settings in Nebraska. Three raters conducted the evaluation during May 2013 ...
Software Female Adult User-Computer Interface Rural Population Hispanic or Latino Breast Feeding Motivation Humans Health Education Nebraska Mothers Multilingualism Data Display Computer Heuristics
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Applying under-sampling techniques and cost-sensitive learning methods on risk assessment of breast cancer.

Journal of medical systems Feb 25, 2015
Breast cancer is one of the most common cause of cancer mortality. Early detection through mammography screening could significantly reduce mortality from breast cancer. However, most of screening methods may consume large amount of resources. We pro...
Contraceptives, Oral, Hormonal Estrogen Replacement Therapy Humans Menstruation Female Breast Feeding Aged Data Mining Breast Neoplasms Body Weights and Measures Age Factors Early Detection of Cancer Predictive Value of Tests Bayes Theorem Middle Aged Risk Assessment Genetic Predisposition to Disease Support Vector Machine
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Artificial intelligence-assisted chatbot: impact on breastfeeding outcomes and maternal anxiety.

BMC pregnancy and childbirth May 30, 2025
BACKGROUND: Artificial intelligence (AI) is increasingly used in healthcare interventions to provide accessible, continuous, and personalized patient support. This study investigates the impact of a mobile breastfeeding counseling application develop...
Female Young Adult Adult Anxiety Humans Mothers Artificial Intelligence Postpartum Period Self Efficacy Counseling Mobile Applications Pamphlets Generative Artificial Intelligence Breast Feeding
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