AIMC Topic: Asia
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Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole.
Nature communications
Dec 12, 2022
As one of the most predominant interannual variabilities, the Indian Ocean Dipole (IOD) exerts great socio-economic impacts globally, especially on Asia, Africa, and Australia. While enormous efforts have been made since its discovery to improve both...
International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases.
PloS one
Oct 17, 2022
In innovation strategy, a type of Schumpeterian competitive strategy in business administration, "intra-individual diversity" has attracted attention as one factor for creating innovation. In this study, we redefine "framework for identifying researc...
Scoping review and classification of deep learning in medical genetics.
Genetics in medicine : official journal of the American College of Medical Genetics
May 25, 2022
Deep learning (DL) is applied in many biomedical areas. We performed a scoping review on DL in medical genetics. We first assessed 14,002 articles, of which 133 involved DL in medical genetics. DL in medical genetics increased rapidly during the stud...
A Machine Learning Model for Evaluating Imported Disease Screening Strategies in Immigrant Populations.
The American journal of tropical medicine and hygiene
Sep 20, 2021
Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their early diagnosis and treatment. We present a mathematical model based on machine learning methodologie...
Central America
Communicable Diseases, Imported
Humans
Machine Learning
Spain
Models, Theoretical
Emigrants and Immigrants
Male
Mexico
Asia
Middle Aged
Africa
Mass Screening
Aged, 80 and over
South America
Infant
Adolescent
Young Adult
Retrospective Studies
Prevalence
Early Diagnosis
Child, Preschool
Adult
Female
Child
Cross-Sectional Studies
Infant, Newborn
Aged
Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.
BMC pregnancy and childbirth
Sep 7, 2021
BACKGROUND: Babies born early and/or small for gestational age in Low and Middle-income countries (LMICs) contribute substantially to global neonatal and infant mortality. Tracking this metric is critical at a population level for informed policy, ad...
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study.
The Lancet. Digital health
Sep 1, 2021
BACKGROUND: Delays in the diagnosis of genetic syndromes are common, particularly in low and middle-income countries with limited access to genetic screening services. We, therefore, aimed to develop and evaluate a machine learning-based screening te...
Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov.
International journal of environmental research and public health
May 11, 2021
Although advances in machine-learning healthcare applications promise great potential for innovative medical care, few data are available on the translational status of these new technologies. We aimed to provide a comprehensive characterization of t...
"AI's gonna have an impact on everything in society, so it has to have an impact on public health": a fundamental qualitative descriptive study of the implications of artificial intelligence for public health.
BMC public health
Jan 6, 2021
BACKGROUND: Our objective was to determine the impacts of artificial intelligence (AI) on public health practice.
A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach.
Genes
Dec 16, 2020
There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open ques...
Artificial intelligence for the detection of esophageal and esophagogastric junctional adenocarcinoma.
Journal of gastroenterology and hepatology
Jun 27, 2020
BACKGROUND AND AIM: Conventional endoscopy for the early detection of esophageal and esophagogastric junctional adenocarcinoma (E/J cancer) is limited because early lesions are asymptomatic, and the associated changes in the mucosa are subtle. There ...
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