[HTML][HTML] A machine learning approach for micro-credit scoring

A Ampountolas, T Nyarko Nde, P Date… - Risks, 2021 - mdpi.com
In micro-lending markets, lack of recorded credit history is a significant impediment to
assessing individual borrowers' creditworthiness and therefore deciding fair interest rates …

[HTML][HTML] Evaluating the Impact of Recursive Feature Elimination on Machine Learning Models for Predicting Forest Fire-Prone Zones

AR Barzani, P Pahlavani, O Ghorbanzadeh… - Fire, 2024 - mdpi.com
This study aimed to enhance the accuracy of forest fire susceptibility map** (FSM) by
innovatively applying recursive feature elimination (RFE) with an ensemble of machine …

A Novel Ensemble‐Based Technique for the Preemptive Diagnosis of Rheumatoid Arthritis Disease in the Eastern Province of Saudi Arabia Using Clinical Data

SO Olatunji, A Alansari, H Alkhorasani… - … Methods in Medicine, 2022 - Wiley Online Library
Rheumatoid arthritis (RA) is a chronic inflammatory disease caused by numerous genetic
and environmental factors leading to musculoskeletal system pain. RA may damage other …

Clinical assessment of diabetic foot ulcers using GWO-CNN based hyperspectral image processing approach

T Arumuga Maria Devi, R Hepzibai - IETE Journal of Research, 2023 - Taylor & Francis
Diabetes Mellitus has turned out to be a complicated disease and as of 2016 one out of
eleven humans suffer from this disease leading to Diabetic Foot Ulcers (DFU). When not …

A Comparative Study of Feature Extraction Methods in Image Classification Using Convolution Neural Network Model

DJ Dsouza, AP Rodrigues - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Image classification is the supervised classification in which one assigns labels to images
based on its characteristics or features. The term Outlier which is also referred as anomaly …

COVID-19 vaccination performance of the US states: a hybrid model of DEA and ensemble machine learning methods

O Cosgun, G Ogcu Kaya, C Cosgun - Annals of Operations Research, 2024 - Springer
Vaccination is seen as the most promising one among the efforts to stop COVID-19 and the
US government has given great importance to vaccination. However, which states have …

[PDF][PDF] A Machine Learning Approach for Micro-Credit Scoring. Risks, 9 (3), 50

A Ampountolas, TN Nde, P Date, C Constantinescu - 2021 - academia.edu
In micro-lending markets, lack of recorded credit history is a significant impediment to
assessing individual borrowers' creditworthiness and therefore deciding fair interest rates …

Machine Learning Model for Predicting Hepatocellular Carcinoma in Hepatitis C Patients

A Fatima, J Andritsch - 2024 2nd International Conference on …, 2024 - ieeexplore.ieee.org
An estimated 58 million people suffer from chronic Hepatitis C virus around the world, while
substantial evidence indicates that patients with Hepatitis C virus are at 17 times larger risk …

Artificial intelligence based diagnostic model for the detection of malaria parasites from microscopic blood images

G Madhu, A Govardhan - Intelligent interactive multimedia systems for e …, 2022 - Springer
Background. Malaria is a severe infectious disease that is caused by protozoa of the genus
Plasmodium. Manual identification of parasites in microscopic blood image examination …

Parasites from Microscopic Blood Images

G Madhu, A Govardhan - Intelligent Interactive Multimedia …, 2021 - books.google.com
Malaria is a severe global health issue that causes morbidity and mortality of vectorborne
disease that is caused by a Plasmodium parasite of the genus Plasmodium, as declared by …