AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Sri Lanka

Showing 1 to 10 of 14 articles

Clear Filters

Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach.

PloS one
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...

Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka.

PloS one
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...

Development and validation of a cardiovascular risk prediction model for Sri Lankans using machine learning.

PloS one
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 ...

Impact of economic indicators on rice production: A machine learning approach in Sri Lanka.

PloS one
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...

Real-Time Tracking Data and Machine Learning Approaches for Mapping Pedestrian Walking Behavior: A Case Study at the University of Moratuwa.

Sensors (Basel, Switzerland)
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...

Machine learning approaches for asthma disease prediction among adults in Sri Lanka.

Health informatics journal
Addressing the challenge of cost-effective asthma diagnosis amidst diverse symptom patterns among patients, this study aims to develop a machine learning-based asthma prediction tool for self-detection of asthma. Data from 6,665 participants in the...

Misidentifications in ayurvedic medicinal plants: Convolutional neural network (CNN) to overcome identification confusions.

Computers in biology and medicine
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...

Classification of α-thalassemia data using machine learning models.

Computer methods and programs in biomedicine
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...

Knowledge and Perception of Artificial Intelligence in Medicine Among Undergraduate Medical Students in Sri Lanka: A Cross Sectional Study.

Studies in health technology and informatics
As AI is increasingly being used in medical practise, it is important to equip medical students with the concepts and principles. A cross-sectional study was conducted to understand medical students' knowledge and perception regarding the role of AI ...