You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

As antimicrobial resistance threatens to undo a century of medical progress, AMPIdentifier provides researchers with a rigorous computational framework to accelerate the discovery of next-generation ...

Accurate prediction of kidney graft failure at different phases post-transplantation is critical for timely intervention and long-term allograft preservation. Traditional survival models offer limited ...

y_i -- the (n_i x 1) vector of responses for cluster i. These are given at at training. X_i -- the (n_i x p) fixed effects covariates that are associated with the y_i. These are given at training. Z_i ...

The “gut–skin axis” has been proposed to play an important role in the development and symptoms of atopic dermatitis. Therefore, we have constructed an interpretable machine learning framework to ...

为解决糖尿病（DM）和慢性肾脏病（CKD）患者心血管事件（CVEs）预测难题，波兰西里西亚医科大学研究人员开展相关机器学习研究。结果显示 LGBM 模型预测性能佳。该研究为临床预测提供新思路，强烈推荐科研读者阅读。 波兰西里西亚医科大学（Medical University of ...

Mental health disorders (MHDs) have significant medical and financial impacts on patients and society. Despite the potential opportunities for artificial intelligence (AI) in the mental health field, ...

Perioperative stroke is a severe complication following surgery. To identify patients at risk for perioperative stroke, several prediction models based on the preoperative factors were suggested.

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...

Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...