AIMC Topic: Sri Lanka

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Comparison of cardiovascular risk prediction models developed using machine learning based on data from a Sri Lankan cohort with World Health Organization risk charts for predicting cardiovascular risk among Sri Lankans: a cohort study.

BMJ open Jan 15, 2025
INTRODUCTION: Models derived from non-Sri Lankan cohorts are used for cardiovascular (CV) risk stratification of Sri Lankans.
Humans Machine Learning Prospective Studies Middle Aged Risk Assessment Cohort Studies Sri Lanka Heart Disease Risk Factors World Health Organization Adult Male Cardiovascular Diseases Female Aged
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Classification of α-thalassemia data using machine learning models.

Computer methods and programs in biomedicine Jan 6, 2025
BACKGROUND: Around 7% of the global population has congenital hemoglobin disorders, with over 300,000 new cases of α-thalassemia annually. Diagnosis is costly and inaccurate in low-income regions, often relying on complete blood count (CBC) tests. Th...
Machine Learning Humans Area Under Curve Female Neural Networks, Computer Male Adult alpha-Thalassemia ROC Curve Blood Cell Count Sri Lanka
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Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach.

PloS one Dec 26, 2024
This study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on the relationship between key socioeconomic factors and the Gender Inequality Index (GII) from 1990 to 2022. By applying machine learning techniques, including...
Sri Lanka Female Humans Unemployment Male Socioeconomic Factors Machine Learning
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Misidentifications in ayurvedic medicinal plants: Convolutional neural network (CNN) to overcome identification confusions.

Computers in biology and medicine Nov 4, 2024
Plants are a vital ingredient of traditional medicine in Sri Lanka, and the quantity of medicinal plants used as a number differs in literature. Field identification of medicinal plants is carried out based on various plant characteristics. Conventio...
Humans Neural Networks, Computer Sri Lanka Plants, Medicinal Medicine, Ayurvedic
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Development and validation of a cardiovascular risk prediction model for Sri Lankans using machine learning.

PloS one Oct 22, 2024
INTRODUCTION AND OBJECTIVES: Sri Lankans do not have a specific cardiovascular (CV) risk prediction model and therefore, World Health Organization(WHO) risk charts developed for the Southeast Asia Region are being used. We aimed to develop a CV risk ...
Sri Lanka Heart Disease Risk Factors Machine Learning Risk Assessment Female Aged Cardiovascular Diseases Humans Cohort Studies Risk Factors Adult Middle Aged ROC Curve Male
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Impact of economic indicators on rice production: A machine learning approach in Sri Lanka.

PloS one Jun 21, 2024
Rice is a crucial crop in Sri Lanka, influencing both its agricultural and economic landscapes. This study delves into the complex interplay between economic indicators and rice production, aiming to uncover correlations and build prediction models u...
Crop Production Machine Learning Oryza Agriculture Crops, Agricultural Support Vector Machine Sri Lanka
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Real-Time Tracking Data and Machine Learning Approaches for Mapping Pedestrian Walking Behavior: A Case Study at the University of Moratuwa.

Sensors (Basel, Switzerland) Jun 13, 2024
The growing urban population and traffic congestion underline the importance of building pedestrian-friendly environments to encourage walking as a preferred mode of transportation. However, a major challenge remains, which is the absence of such ped...
Cell Phone Walking Pedestrians Algorithms Geographic Information Systems Universities Cluster Analysis Sri Lanka Humans Machine Learning
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Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka.

PloS one Apr 26, 2023
Hydrologic models to simulate river flows are computationally costly. In addition to the precipitation and other meteorological time series, catchment characteristics, including soil data, land use, land cover, and roughness, are essential in most hy...
Neural Networks, Computer Fuzzy Logic Sri Lanka Algorithms Water Environmental Monitoring
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Modelling vegetation land fragmentation in urban areas of Western Province, Sri Lanka using an Artificial Intelligence-based simulation technique.

PloS one Feb 6, 2023
Vegetation land fragmentation has had numerous negative repercussions on sustainable development around the world. Urban planners are currently avidly investigating vegetation land fragmentation due to its effects on sustainable development. The lite...
Sri Lanka Neural Networks, Computer Sustainable Development Artificial Intelligence Environmental Monitoring
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Association Rule Learning Is an Easy and Efficient Method for Identifying Profiles of Traumas and Stressors that Predict Psychopathology in Disaster Survivors: The Example of Sri Lanka.

International journal of environmental research and public health Apr 21, 2020
Research indicates that psychopathology in disaster survivors is a function of both experienced trauma and stressful life events. However, such studies are of limited utility to practitioners who are about to go into a new post-disaster setting as (1...
Disasters Humans Survivors Machine Learning Mental Disorders Stress Disorders, Post-Traumatic Sri Lanka
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