AIMC Topic: Thailand

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Application of machine learning algorithm and modified high resolution DNA melting curve analysis for molecular subtyping of Salmonella isolates from various epidemiological backgrounds in northern Thailand.

World journal of microbiology & biotechnology Jul 2, 2020
Food poisoning from consumption of food contaminated with non-typhoidal Salmonella spp. is a global problem. A modified high resolution DNA melting curve analysis (m-HRMa) was introduced to provide effective discrimination among closely related HRM c...
Machine Learning Algorithms Animals Thailand Phylogeny Humans Polymerase Chain Reaction Salmonella Infections Bacterial Typing Techniques DNA Fingerprinting Nucleic Acid Denaturation Salmonella Feces Chickens Serogroup Serotyping
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ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.

BMC medical informatics and decision making Nov 7, 2019
BACKGROUND: The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better methods are urgently needed. Altho...
Internet Anemia, Iron-Deficiency beta-Thalassemia Anemia, Hypochromic Neural Networks, Computer Machine Learning Retrospective Studies Female Young Adult Adult Humans ROC Curve Male Cluster Analysis Decision Trees Middle Aged Diagnosis, Differential Thailand Predictive Value of Tests Adolescent
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Characteristics of Mild Cognitive Impairment Using the Thai Version of the Consortium to Establish a Registry for Alzheimer's Disease Tests: A Multivariate and Machine Learning Study.

Dementia and geriatric cognitive disorders Apr 4, 2018
BACKGROUND: The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) developed a neuropsychological battery (CERAD-NP) to screen patients with Alzheimer's dementia. Mild cognitive impairment (MCI) has received attention as a pre-dementi...
Aged, 80 and over Translations Cross-Sectional Studies Mental Recall Male Neural Networks, Computer Verbal Behavior Middle Aged Machine Learning Humans Thailand Female Cognitive Dysfunction Reproducibility of Results Socioeconomic Factors Aged Support Vector Machine Alzheimer Disease Neuropsychological Tests
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The utility of LASSO-based models for real time forecasts of endemic infectious diseases: A cross country comparison.

Journal of biomedical informatics Feb 27, 2018
INTRODUCTION: Accurate and timely prediction for endemic infectious diseases is vital for public health agencies to plan and carry out any control methods at an early stage of disease outbreaks. Climatic variables has been identified as important pre...
Communicable Diseases Reproducibility of Results Public Health Disease Outbreaks Thailand Japan Humans Infectious Disease Medicine Climate Machine Learning Hand, Foot and Mouth Disease Wavelet Analysis Algorithms Chickenpox Communicable Disease Control Forecasting Dengue Incidence Models, Statistical Taiwan Singapore Malaria
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In Schizophrenia, Depression, Anxiety, and Physiosomatic Symptoms Are Strongly Related to Psychotic Symptoms and Excitation, Impairments in Episodic Memory, and Increased Production of Neurotoxic Tryptophan Catabolites: a Multivariate and Machine Learning Study.

Neurotoxicity research Jan 29, 2018
The depression, anxiety and physiosomatic symptoms (DAPS) of schizophrenia are associated with negative symptoms and changes in tryptophan catabolite (TRYCAT) patterning. The aim of this study is to delineate the associations between DAPS and psychos...
Medically Unexplained Symptoms Male Middle Aged Thailand Anxiety Psychiatric Status Rating Scales Depression Adolescent Tryptophan Memory Disorders Multivariate Analysis Machine Learning Female Aged Young Adult Adult Humans
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Spatiotemporal Bayesian networks for malaria prediction.

Artificial intelligence in medicine Dec 11, 2017
Targeted intervention and resource allocation are essential for effective malaria control, particularly in remote areas, with predictive models providing important information for decision making. While a diversity of modeling technique have been use...
Humans Neural Networks, Computer Artificial Intelligence Animals Thailand Incidence Time Factors ROC Curve Area Under Curve Bayes Theorem Malaria Nonlinear Dynamics Disease Vectors
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Artificial Neural Network and Genetic Algorithm Hybrid Intelligence for Predicting Thai Stock Price Index Trend.

Computational intelligence and neuroscience Nov 15, 2016
This study investigated the use of Artificial Neural Network (ANN) and Genetic Algorithm (GA) for prediction of Thailand's SET50 index trend. ANN is a widely accepted machine learning method that uses past data to predict future trend, while GA is an...
Algorithms Forecasting Thailand Predictive Value of Tests Humans Financial Management Neural Networks, Computer
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Fast and simple method for semiquantitative determination of calcium propionate in bread samples.

Journal of food and drug analysis Jun 2, 2016
Calcium propionate has been widely used as a preservative in bakery and in bread. It is sometimes not carefully used, or a high concentration is added to preserve products. High consumption of calcium propionate can lead to several health problems. T...
Thailand Chromatography, High Pressure Liquid Bread Propionates
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Evidence of Water Quality Degradation in Lower Mekong Basin Revealed by Self-Organizing Map.

PloS one Jan 5, 2016
To reach a better understanding of the spatial variability of water quality in the Lower Mekong Basin (LMB), the Self-Organizing Map (SOM) was used to classify 117 monitoring sites and hotspots of pollution within the basin identified according to wa...
Vietnam Ammonia Geography Water Movements Cambodia Laos Nitrates Water Quality Rivers Wetlands Oxygen Humans Hydrogen-Ion Concentration Neural Networks, Computer Water Pollution Thailand Phosphorus Agriculture Seasons Water Pollutants, Chemical
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Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and Geographical Areas.

PloS one May 11, 2015
BACKGROUND: In the past few decades, several researchers have proposed highly accurate prediction models that have typically relied on climate parameters. However, climate factors can be unreliable and can lower the effectiveness of prediction when t...
Insect Vectors Severe Dengue Male Humans Dengue Virus Algorithms Thailand Morbidity Incidence Female Climate Models, Theoretical Reproducibility of Results Aedes Support Vector Machine Animals Environment
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