Lupus Science & Medicine

Breastfeeding determinants in Egyptian mothers with systemic lupus erythematosus or rheumatoid arthritis: a retrospective cohort study

Objective Breastfeeding prevalence and challenges among women of systemic lupus erythematosus (SLE) and rheumatoid arthritis ...
Scientific Research Publishing

An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological Integration ()

Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...
Intuit on MSN

6 steps to train an AI model to do whatever you want

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
BMJ

Using prodromal non-motor symptoms to predict Parkinson’s disease onset and motor phenotype

Background Non-motor symptoms are highly prevalent in prodromal Parkinson’s disease (PD); however, their impact on PD trajectory remains largely unexplored. We aimed to assess whether prevalent ...
Frontiers

Study on the factors influencing the impaired abilities of daily living in middle-aged and older adult arthritis patients based on binary logistic regression and categorical ...

Background: Arthritis is the most disabling disease worldwide, and the presence of the disease usually greatly threatens the patient’s activities of daily living (ADL). Currently, there are a few ...
ahajournals.org

Exposure to Multiple Metals and Cerebral White Matter Hyperintensity in Chinese Population: A Cross-Sectional Study

Evidence about the impact of multiple metal exposure on brain neuroimaging metrics remains limited. We aim to investigate the effects of single and mixed metal exposure on white matter ...
Scientific Research Publishing

Kirasich, K., Smith, T. and Sadler, B. (2018) Random Forest vs Logistic Regression: Binary Classification for Heterogeneous Datasets. SMU Data Science Review, 1, Article 9.

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
Frontiers

Development of artificial neural network model for predicting the rapid maxillary expansion technique in children with cleft lip and palate

Aim: The study aimed to determine the mid-palatal suture (MPS) maturation stages and to develop a binary logistic regression model to predict the possibility of surgical or non-surgical rapid ...