Loại tài liệu:    Chỉ tìm trong: 
1321-1330 trong số 1977 kết quả
Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning
Tác giả: Meiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du, Peixuan Shen, Xiaochuan Lu, Shengnan Liu, Rongrong Guo, Xiaoli Shen
Xuất bản: Netherlands: Ecotoxicology and environmental safety , 2025
Bộ sưu tập: NCBI
ddc:  594.38
 
Periodate activation by plasma coupled with FeNC for contaminant removal: Machine learning assisted catalyst optimization and electron shuttle mechanism
Tác giả: Wenxuan Jiang, Yawen Wang, Chendong Puyang, Shoufeng Tang, He Guo
Xuất bản: United States: Journal of colloid and interface science , 2025
Bộ sưu tập: NCBI
ddc:  594.38
 
Application of machine learning approach to estimate the solubility of some solid drugs in supercritical CO
Tác giả: Zahra Bahrami, Fatemeh Bashipour, Alireza Baghban
Xuất bản: England: Scientific reports , 2025
Bộ sưu tập: NCBI
ddc:  296.09015
 
An Active Learning Model for Promoting Healthy Cooking and Dietary Strategies Among South Asian Children: A Proof-of-Concept Study
Tác giả: Tricia S Tang, Simran Gill, Inderpreet Basra
Xuất bản: Switzerland: Nutrients , 2025
Bộ sưu tập: NCBI
ddc:  796.347
 
A Machine Learning Model Based on Radiomic Features as a Tool to Identify Active Giant Cell Arteritis on [
Tác giả: Hanne S Vries, Gijs D van Praagh, Pieter H Nienhuis, Lejla Alic, Riemer H J A Slart
Xuất bản: Switzerland: Diagnostics (Basel, Switzerland , 2025
Bộ sưu tập: NCBI
ddc:  522.682
 
Predicting Response to Treatment and Survival in Advanced Ovarian Cancer Using Machine Learning and Radiomics: A Systematic Review
Tác giả: Sabrina Piedimonte, Mariam Mohamed, Gabriela Rosa, Brigit Gerstl, Danielle Vicus
Xuất bản: Switzerland: Cancers , 2025
Bộ sưu tập: NCBI
ddc:  594.36
 
Machine learning prediction of glaucoma by heavy metal exposure: results from the National Health and Nutrition Examination Survey 2005 to 2008
Tác giả: Xinchen Wang, Gang Chen, Rui He, Yuting Gao, Jingwen Lu, Tongcheng Xu, Heting Liu, Zhengxuan Jiang
Xuất bản: England: Scientific reports , 2025
Bộ sưu tập: NCBI
ddc:  594.38
 
Author Correction: Validation of a blood biomarker panel for machine learning-based radiation biodosimetry in juvenile and adult C57BL/6 mice
Tác giả: Leah Nemzow, Michelle A Phillippi, Karthik Kanagaraj, Igor Shuryak, Maria Taveras, Xuefeng Wu, Helen C Turner
Xuất bản: England: Scientific reports , 2025
Bộ sưu tập: NCBI
ddc:  296.123
 
Does Deep Learning Reconstruction Improve Ureteral Stone Detection and Subjective Image Quality in the CT Images of Patients with Metal Hardware?
Tác giả: Ruben Crew, Jason Smith, Katya Hanessian, Sikai Song, Akin S Amasyali, Zhamshid Okhunov, Udochukwo Oyoyo, D Daniel Baldwin, Kerby Oberg, D Duane Baldwin, Mohammad Kassir, Ala'a Farkouh, Kai Wen Cheng, Bertha Escobar-Poni, Jun Ho Chung, Uy Lae Kim, Jammie-Lyn Quines, Grant Sajdak
Xuất bản: United States: Journal of endourology , 2025
Bộ sưu tập: NCBI
ddc:  297.1248
 
Writing the Signs: An Explainable Machine Learning Approach for Alzheimer's Disease Classification from Handwriting
Tác giả: Ngoc Truc Ngan Ho, Paulina Gonzalez, Gideon K Gogovi
Xuất bản: England: Healthcare technology letters , 2025
Bộ sưu tập: NCBI
ddc:  636.0885
 

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