Understanding metric-related pitfalls in image analysis validation
Validation metrics are key for tracking scientific progress and bridging the current chasm
between artificial intelligence research and its translation into practice. However, increasing …
between artificial intelligence research and its translation into practice. However, increasing …
Artificial intelligence, machine learning, and deep learning for clinical outcome prediction
AI is a broad concept, grouping initiatives that use a computer to perform tasks that would
usually require a human to complete. AI methods are well suited to predict clinical outcomes …
usually require a human to complete. AI methods are well suited to predict clinical outcomes …
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
Binary classification is a common task for which machine learning and computational
statistics are used, and the area under the receiver operating characteristic curve (ROC …
statistics are used, and the area under the receiver operating characteristic curve (ROC …
A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India
Abstract The Ulhas River Basin, India has been severely impacted by climate change,
frequent rainfall, and an ineffective drainage system in recent years, resulting in flooding. To …
frequent rainfall, and an ineffective drainage system in recent years, resulting in flooding. To …
An integrated GIS, MIF, and TOPSIS approach for appraising electric vehicle charging station suitability zones in Mumbai, India
Fossil fuels cause air pollution and climate change, impacting human health. Mumbai
imports and spends heavily on petroleum. Therefore, to reduce the amount of fossil fuel and …
imports and spends heavily on petroleum. Therefore, to reduce the amount of fossil fuel and …
[HTML][HTML] Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization
Student dropout is a serious problem globally. It affects not only the individual who drops out
but also the former school, family, and society in general. With the current development of …
but also the former school, family, and society in general. With the current development of …
Head-to-head comparison between MEFIB, MAST, and FAST for detecting stage 2 fibrosis or higher among patients with NAFLD
BK Kim, N Tamaki, K Imajo, M Yoneda, N Sutter… - Journal of …, 2022 - Elsevier
Background & Aims Patients with non-alcoholic fatty liver disease (NAFLD) and significant
fibrosis (fibrosis stage≥ 2) are candidates for pharmacological trials. The aim of this study …
fibrosis (fibrosis stage≥ 2) are candidates for pharmacological trials. The aim of this study …
Non-invasive skin cancer diagnosis using hyperspectral imaging for in-situ clinical support
Skin cancer is one of the most common forms of cancer worldwide and its early detection its
key to achieve an effective treatment of the lesion. Commonly, skin cancer diagnosis is …
key to achieve an effective treatment of the lesion. Commonly, skin cancer diagnosis is …
A deep learning method for predicting knee osteoarthritis radiographic progression from MRI
Background The identification of patients with knee osteoarthritis (OA) likely to progress
rapidly in terms of structure is critical to facilitate the development of disease-modifying …
rapidly in terms of structure is critical to facilitate the development of disease-modifying …
Comparing the performance of deep learning methods to predict companies' financial failure
One of the most crucial problems in the field of business is financial forecasting. Many
companies are interested in forecasting their incoming financial status in order to adapt to …
companies are interested in forecasting their incoming financial status in order to adapt to …