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21-30 trong số 31 kết quả
Interpretable machine learning unveils key predictors and default values in an expanded database of human in vitro dermal absorption studies with pesticides
Tác giả: D Sarti, J Wagner, L Bertomeu, M Le Bras, F Palma, H Kalvan, M Giachini, D Lautenschalaeger, V Lupianhez, J Pires, M Sales, P Faria
Xuất bản: Netherlands: Regulatory toxicology and pharmacology : RTP , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
Corrigendum to "Which Osteochondritis Dissecans Lesions Will Heal Nonoperatively? An Application of Machine Learning to the ROCK Prospective Cohort"
Tác giả:
Xuất bản: United States: Orthopaedic journal of sports medicine , 2025
Bộ sưu tập: NCBI
ddc:  709.012
 
APNet, an explainable sparse deep learning model to discover differentially active drivers of severe COVID-19
Tác giả: George I Gavriilidis, Vasileios Vasileiou, Stella Dimitsaki, Georgios Karakatsoulis, Antonis Giannakakis, Georgios A Pavlopoulos, Fotis Psomopoulos
Xuất bản: England: Bioinformatics (Oxford, England , 2025
Bộ sưu tập: NCBI
ddc:  591.514
 
Efficacy of an Online Caregiver Learning Series for Promoting Daily Living Skills of Autistic Adolescents
Tác giả: Lindsay F Rentschler, Kara Hume, Jessica R Steinbrenner, Nancy Bagatell, Brian Boyd, Karrie Shogren
Xuất bản: United States: Journal of autism and developmental disorders , 2025
Bộ sưu tập: NCBI
ddc:  781.42
 
Deep learning-assisted screening and diagnosis of scoliosis: segmentation of bare-back images via an attention-enhanced convolutional neural network
Tác giả: Xingyu Duan, Xiaojun Ma, Mengqi Zhu, Linan Wang, Dingqi You, Lili Deng, Ningkui Niu
Xuất bản: England: Journal of orthopaedic surgery and research , 2025
Bộ sưu tập: NCBI
ddc:  153.733
 
Efficient detection of foodborne pathogens via SERS and deep learning: An ADMIN-optimized NAS-Unet approach
Tác giả: Zilong Wang, Pei Liang, Jinglei Zhai, Bei Wu, Xin Chen, Fan Ding, Qiang Chen, Biao Sun
Xuất bản: Netherlands: Journal of hazardous materials , 2025
Bộ sưu tập: NCBI
ddc:  591.514
 
An Enhanced Protocol to Expand Human Exposome and Machine Learning-Based Prediction for Methodology Application
Tác giả: Ana He, Yiming Yao, Jiaping Xu, Haining Luo, Hongwen Sun, Shijie Chen, Yongcheng Li, Nan Xiao, Hao Chen, Hongzhi Zhao, Yu Wang, Zhipeng Cheng, Hongkai Zhu
Xuất bản: United States: Environmental science & technology , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
An interpretable ensemble model combining handcrafted radiomics and deep learning for predicting the overall survival of hepatocellular carcinoma patients after stereotactic body radiation therapy
Tác giả: Yi Chen, David Pasquier, Damon Verstappen, Henry C Woodruff, Philippe Lambin
Xuất bản: Germany: Journal of cancer research and clinical oncology , 2025
Bộ sưu tập: NCBI
ddc:  613.69
 
An interpretable ensemble model combining handcrafted radiomics and deep learning for predicting the overall survival of hepatocellular carcinoma patients after stereotactic body radiation therapy
Tác giả: Yi Chen, David Pasquier, Damon Verstappen, Henry C Woodruff, Philippe Lambin
Xuất bản: Germany: Journal of cancer research and clinical oncology , 2025
Bộ sưu tập: NCBI
ddc:  613.69
 
Rapid and Differential Diagnosis of Sepsis Stages Using an Advanced 3D Plasmonic Bimetallic Alloy Nanoarchitecture-Based SERS Biosensor Combined with Machine Learning for Multiple Analyte
Tác giả: Woo Hyun Kim, Sungwoo Lee, Myeong Jin Jeon, Kwon Jun Lee, Jong-Hak Park, Dae Won Park, Sungho Park, Sang Jun Sim
Xuất bản: Germany: Advanced science (Weinheim, Baden-Wurttemberg, Germany , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 

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