Results 261 to 270 of about 150,441 (331)

From Data to Decisions: How Machine Learning and Generative Artificial Intelligence Are Redefining Precision Medicine in Kidney Transplantation

Organ Medicine, EarlyView.
This review evaluates how machine learning, multimodal integration, and generative AI optimize kidney transplant outcomes. These tools enable superior prediction and personalized therapy but face hurdles in data volume, generalizability, and ethics. Future clinical adoption depends on continued innovation and multidisciplinary collaboration to overcome
Maoxin Liao, Cheng Yang
wiley   +1 more source

Rapid Machine Learning-Driven Detection of Pesticides and Dyes Using Raman Spectroscopy. [PDF]

J Chem Inf Model
Thai Binh QT, Thuan Phuoc, Xuan Hai P, Phan TB, Thu VTH, Tuan Hung N.   +5 more
europepmc   +1 more source

Development and internal-external validation of a risk prediction model for acute pain after HAIC for patients with liver cancer using logistic regression and XGBoost algorithm. [PDF]

Asia Pac J Oncol Nurs
Cao J, Gong Y, Wang F, Zhang J, Chen C, Cao J, Xie M, Zhao W.   +7 more
europepmc   +1 more source

Estimation and optimization of reinforcement parameters for composite material using a machine learning approach. [PDF]

Sci Rep
Dandekar YV, Rajput MS, Kumar RS, Pandey V, Shinde JR, Paliwal S.   +5 more
europepmc   +1 more source

Enhanced meta ensemble stacking approach with XGBoost and optuna based detection of Parkinson's disease. [PDF]

Front Digit Health
Joseph Raj AM, Kruthika SL, S A.
europepmc   +1 more source

Machine learning-based prediction of carbapenem-resistant <i>Klebsiella pneumoniae</i> infection risk and prognosis. [PDF]

Front Pharmacol
Sun J, Yan L, Yang R.
europepmc   +1 more source

An explainable AI-driven hybrid feature selection approach for coronary artery disease diagnosis. [PDF]

Sci Rep
Elemam T, Refaat H, Makhlouf M.
europepmc   +1 more source

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Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

Engineering with Computers, 2021
Accurate prediction of ground vibration caused by blasting has always been a significant issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon to nearby buildings and should be prevented. In this regard, a new intelligent method for predicting peak particle velocity (PPV) induced by blasting had been developed ...
Yingui Qiu, Jian Zhou, Manoj Khandelwal, Haitao Yang, Peixi Yang, Chuanqi Li   +5 more
openaire   +2 more sources

Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)

Environmental Modelling and Software
Majid Niazkar, Andrea Menapace, Reza Piraei   +2 more
exaly   +2 more sources