AIMC Topic: Malaysia

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Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews.

Scientific reports Jul 6, 2024
This work proposes a functional data analysis approach for morphometrics in classifying three shrew species (S. murinus, C. monticola, and C. malayana) from Peninsular Malaysia. Functional data geometric morphometrics (FDGM) for 2D landmark data is i...
Machine Learning Animals Discriminant Analysis Skull Shrews Support Vector Machine Malaysia Principal Component Analysis
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Polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) prediction model based on limited peat samples using an evolved artificial neural network.

Chemosphere Jun 21, 2024
Polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) are involuntary by-products of incomplete combustion and are highly toxic to humans and the environment. The Malaysian peat is often acidic or extremely acidic having high ...
Benzofurans Neural Networks, Computer Soil Pollutants Algorithms Soil Polychlorinated Dibenzodioxins Environmental Monitoring Dibenzofurans, Polychlorinated Malaysia
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Ensemble machine learning for predicting in-hospital mortality in Asian women with ST-elevation myocardial infarction (STEMI).

Scientific reports May 29, 2024
The accurate prediction of in-hospital mortality in Asian women after ST-Elevation Myocardial Infarction (STEMI) remains a crucial issue in medical research. Existing models frequently neglect this demographic's particular attributes, resulting in po...
Female Risk Factors Aged Humans Machine Learning Asian People Support Vector Machine Middle Aged Malaysia Hospital Mortality ST Elevation Myocardial Infarction
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Application of computer vision and deep learning models to automatically classify medically important mosquitoes in North Borneo, Malaysia.

Bulletin of entomological research Apr 1, 2024
Mosquito-borne diseases have emerged in North Borneo in Malaysia due to rapid changes in the forest landscape, and mosquito surveillance is key to understanding disease transmission. However, surveillance programmes involving sampling and taxonomic i...
Culicidae Aedes Mosquito Vectors Animals Deep Learning Malaysia Culex
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How Socio-economic Inequalities Cluster People with Diabetes in Malaysia: Geographic Evaluation of Area Disparities Using a Non-parameterized Unsupervised Learning Method.

Journal of epidemiology and global health Feb 5, 2024
Accurate assessments of epidemiological associations between health outcomes and routinely observed proximal and distal determinants of health are fundamental for the execution of effective public health interventions and policies. Methods to couple ...
Socioeconomic Factors Diabetes Mellitus Malaysia Cluster Analysis Unsupervised Machine Learning Health Status Disparities Adult Male Middle Aged Female Aged Humans
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A Deep Learning Approach for Dengue Fever Prediction in Malaysia Using LSTM with Spatial Attention.

International journal of environmental research and public health Feb 25, 2023
This research aims to predict dengue fever cases in Malaysia using machine learning techniques. A dataset consisting of weekly dengue cases at the state level in Malaysia from 2010 to 2016 was obtained from the Malaysia Open Data website and includes...
Machine Learning Climate Humans Deep Learning Dengue Malaysia
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Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms.

Scientific reports Mar 10, 2022
Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly significant for the purpose of municipal and environmental damage mitigation...
Malaysia Rivers Algorithms Deep Learning Support Vector Machine
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A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia.

Computational and mathematical methods in medicine Dec 7, 2021
This study outlines and developed a multilayer perceptron (MLP) neural network model for adolescent hypertension classification focusing on the use of simple anthropometric and sociodemographic data collected from a cross-sectional research study in ...
Sociodemographic Factors Prevalence Anthropometry Female Hypertension Adolescent Humans Cross-Sectional Studies Computational Biology Malaysia Neural Networks, Computer Male Bayes Theorem
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Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm.

Environmental science and pollution research international Sep 15, 2021
Evaporation is a crucial component to be established in agriculture management and water engineering. Evaporation prediction is thus an essential issue for modeling researchers. In this study, the multilayer perceptron (MLP) was used for predicting d...
Neural Networks, Computer Algorithms Water Malaysia Uncertainty
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Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease.

Scientific reports Jul 26, 2021
Heterogeneous clinical manifestations and progression of chronic obstructive pulmonary disease (COPD) affect patient health risk assessment, stratification, and management. Pulmonary function tests are used to diagnose and classify the severity of CO...
Respiratory Function Tests Humans Neural Networks, Computer Tomography, X-Ray Computed Malaysia Republic of Korea Pulmonary Disease, Chronic Obstructive Deep Learning Predictive Value of Tests Female Male Cohort Studies Survival Analysis Aged Middle Aged
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