AIMC Topic: Spatial Analysis
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Support vector machine in crash prediction at the level of traffic analysis zones: Assessing the spatial proximity effects.
Accident; analysis and prevention
Jun 16, 2015
In zone-level crash prediction, accounting for spatial dependence has become an extensively studied topic. This study proposes Support Vector Machine (SVM) model to address complex, large and multi-dimensional spatial data in crash prediction. Correl...
The relationship between left ventricle myocardial performance index of healthy women and geographical factors.
International journal of biometeorology
Feb 8, 2015
The study focused on the relationship between geographical factors and left ventricular myocardial performance index (MPI)reference value, analyed the different distribution of MPI, and then provided a scientific basis for clinical examination. This ...
Investigation of spatially varying relationships between cadmium accumulation and potential controlling factors in the topsoil of island of Ireland based on spatial machine learning approaches.
Environmental research
Jun 15, 2025
BACKGROUND: Cadmium (Cd) contamination in soils is a pressing environmental issue due to its toxicity and persistence. Given the diverse geological formations and intensive agricultural activities in Ireland, understanding the distribution and source...
Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand.
BMC public health
Jun 7, 2025
BACKGROUND: Cholangiocarcinoma (CCA) poses a significant public health challenge in Thailand, with notably high incidence rates. This study aimed to compare the performance of spatial prediction models using Machine Learning techniques to analyze the...
Refining Muscle Morphometry Through Machine Learning and Spatial Analysis.
Neuropathology and applied neurobiology
Apr 1, 2025
AIMS: Muscle morphology provides important information in differentiating disease aetiology, but its measurement remains challenging because of the lack of an efficient and objective method. This study aimed to quantitatively refine the morphological...
Establishment of artificial intelligence model for precise histological subtyping of lung adenocarcinoma and its application to quantitative and spatial analysis.
Japanese journal of clinical oncology
Sep 4, 2024
BACKGROUND: The histological subtype of lung adenocarcinoma is a major prognostic factor. We developed a new artificial intelligence model to classify lung adenocarcinoma images into seven histological subtypes and adopted the model for whole-slide i...
Stratum corneum nanotexture feature detection using deep learning and spatial analysis: a noninvasive tool for skin barrier assessment.
GigaScience
Jan 2, 2024
BACKGROUND: Corneocyte surface nanoscale topography (nanotexture) has recently emerged as a potential biomarker for inflammatory skin diseases, such as atopic dermatitis (AD). This assessment method involves quantifying circular nano-size objects (CN...
[Predicting soil property in hilly regions by using landscape and multiscale micro-landform features].
Ying yong sheng tai xue bao = The journal of applied ecology
Feb 1, 2022
To assess the high-resolution digital soil mapping method for small watersheds in hilly areas, we explored the role of landscape classification and multiscale micro-landform features in predicting soil pH, soil clay content (SCC), and cation exchange...
Semantic Anomaly Detection in Medical Time Series.
Studies in health technology and informatics
May 24, 2021
The main goal of this project was to define and evaluate a new unsupervised deep learning approach that can differentiate between normal and anomalous intervals of signals like the electrical activity of the heart (ECG). Denoising autoencoders based ...
Predictive analysis across spatial scales links zoonotic malaria to deforestation.
Proceedings. Biological sciences
Jan 16, 2019
The complex transmission ecologies of vector-borne and zoonotic diseases pose challenges to their control, especially in changing landscapes. Human incidence of zoonotic malaria ( Plasmodium knowlesi) is associated with deforestation although mechani...
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