AIMC Topic: Thailand

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Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders.

Journal of diabetes research Dec 15, 2020
OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human graders (HG) in a longitudinal cohort, as case spectrum shifts based on treatment referral and new-onset DR.
Prevalence Thailand Severity of Illness Index Deep Learning Incidence Female Reproducibility of Results Aged Male Middle Aged Macular Edema Image Interpretation, Computer-Assisted Photography National Health Programs Cell Proliferation Mass Screening Longitudinal Studies Predictive Value of Tests Fundus Oculi Humans Diabetic Retinopathy
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Can artificial intelligence achieve human-level performance? A pilot study of childhood sexual abuse detection in self-figure drawings.

Child abuse & neglect Oct 16, 2020
Childhood sexual abuse (CSA) is a worldwide phenomenon that has negative long-term consequences for the victims and their families, and inflicts a considerable economic toll on society. One of the main difficulties in treating CSA is victims' relucta...
Artificial Intelligence Machine Learning Retrospective Studies Female Adult Humans Neural Networks, Computer Image Processing, Computer-Assisted Male Israel Adult Survivors of Child Abuse Self Disclosure Thailand Child Abuse, Sexual Diagnosis, Computer-Assisted Pilot Projects Child
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An Artificial Neural Network Model for Assessing Frailty-Associated Factors in the Thai Population.

International journal of environmental research and public health Sep 18, 2020
Frailty, one of the major public health problems in the elderly, can result from multiple etiologic factors including biological and physical changes in the body which contribute to the reduction in the function of multiple bodily systems. A diagnosi...
Humans Frailty Neural Networks, Computer Frail Elderly Aged Geriatric Assessment Cross-Sectional Studies 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...
Humans Polymerase Chain Reaction Salmonella Infections Bacterial Typing Techniques DNA Fingerprinting Salmonella Nucleic Acid Denaturation Feces Chickens Serogroup Machine Learning Serotyping Algorithms Animals Thailand Phylogeny
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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...
Cluster Analysis Decision Trees Diagnosis, Differential Predictive Value of Tests Internet Anemia, Iron-Deficiency beta-Thalassemia Anemia, Hypochromic Male Middle Aged Thailand Adolescent ROC Curve Machine Learning Retrospective Studies Female Young Adult Adult Humans Neural Networks, Computer
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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 Neuropsychological Tests Aged, 80 and over Thailand Cross-Sectional Studies Cognitive Dysfunction Translations Male Mental Recall Humans Socioeconomic Factors Middle Aged Verbal Behavior Support Vector Machine Neural Networks, Computer Alzheimer Disease Machine Learning Female Reproducibility of Results
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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...
Humans Machine Learning Algorithms Forecasting Japan Climate Wavelet Analysis Communicable Disease Control Dengue Infectious Disease Medicine Hand, Foot and Mouth Disease Chickenpox Incidence Communicable Diseases Models, Statistical Reproducibility of Results Taiwan Public Health Singapore Disease Outbreaks Malaria Thailand
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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...
Depression Adolescent Tryptophan Memory Disorders Multivariate Analysis Medically Unexplained Symptoms Male Middle Aged Thailand Anxiety Psychiatric Status Rating Scales 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...
Animals Thailand Area Under Curve Humans Bayes Theorem Incidence Neural Networks, Computer Malaria Time Factors Artificial Intelligence Nonlinear Dynamics ROC Curve 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...
Predictive Value of Tests Financial Management Humans Neural Networks, Computer Algorithms Forecasting Thailand
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