Range-resident logistic model connects animal movement and population dynamics

Despite decades of independent progress in population ecology and movement ecology, researchers have lacked a theoretical ...

AI model OpenScholar synthesizes scientific research and cites sources as accurately as human experts

Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every ...
IEEE

Fuzzy LASSO Logistic Regression: A Regularized Framework for Interpretable Binary Classification Under Uncertainty

Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
Oncology Nurse Advisor

Intelligent Model Improves Accuracy of Radiation Dermatitis Grading

Suting emphasized that the tool could aid clinicians in timely and accurate grading of radiation dermatitis, thereby informing treatment adjustments and supportive care strategies. The use of an ...
News Medical

Early warning for diabetes: AI model identifies prediabetes risk with high accuracy

In a recent study published in the journal Scientific Reports, researchers developed a pattern neural network (PNN) model that combined a novel measure of total antioxidant status with traditional ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Scientific Research Publishing

Rahimloo, P. and Jafarian, A. (2016) Prediction of Diabetes by Using Artificial Neural Network, Logistic Regression Statistical Model and Combination of Them.

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
EurekAlert!

New few-shot learning model enhances crop disease recognition accuracy

Plant disease recognition technologies have advanced rapidly thanks to deep learning and large annotated datasets, but agricultural applications face unique hurdles. Data collection in the field is ...
IEEE

Gender Classification from Facial Features Using Logistic Regression and K-Nearest Neighbors

Abstract: This paper presents a gender classification model based on face features using logistic regression and K-Nearest Neighbors (KNN) classifier. The dataset contained long hair, forehead breadth ...