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821-830 trong số 1811 kết quả
Combining machine learning models and rule engines in clinical decision systems: Exploring optimal aggregation methods for vaccine hesitancy prediction
Tác giả: Slawomir Kierner, Piotr Kierner, Jacek Kucharski
Xuất bản: United States: Computers in biology and medicine , 2025
Bộ sưu tập: NCBI
ddc:  657.862
 
A machine learning-based 18F-FDG PET/CT multi-modality fusion radiomics model to predict Mediastinal-Hilar lymph node metastasis in NSCLC: a multi-centre study
Tác giả: W Zhai, X Li, T Zhou, Q Zhou, X Lin, X Jiang, Z Zhang, Q Jin, S Liu, L Fan
Xuất bản: England: Clinical radiology , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients
Tác giả: Thomas Meredith, Farhan Mohammed, David Muller, Mayooran Namasivayam, Amy Pomeroy, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Michael Feneley, Christopher Hayward
Xuất bản: Switzerland: Frontiers in cardiovascular medicine , 2025
Bộ sưu tập: NCBI
ddc:  004.338
 
Machine Learning of Two-Electron Reduced Density Matrices for Many-Body Problems
Tác giả: Luis H Delgado-Granados, LeeAnn M Sager-Smith, Kristina Trifonova, David A Mazziotti
Xuất bản: United States: The journal of physical chemistry letters , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
FibrAIm - The machine learning approach to identify the early stage of liver fibrosis and steatosis
Tác giả: Barbara Ginter-Matuszewska, Agnieszka Adamek, Maciej Majchrzak, Blazej Rozplochowski, Agata Zientarska, Arleta Kowala-Piaskowska, Piotr Lukasiak
Xuất bản: Ireland: International journal of medical informatics , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
Unlocking insights: Using machine learning to identify wasting and risk factors in Egyptian children under 5
Tác giả: Abdelaziz Hendy, Sally Mohammed Farghaly Abdelaliem, Hosny Maher Sultan, Shorok Hamed Alahmedi, Rasha Kadri Ibrahim, Eman Mohamed Ebrahim Abdelrazek, Masani Abdelbagi Ahmed Elmahdy, Ahmed Hendy
Xuất bản: United States: Nutrition (Burbank, Los Angeles County, Calif , 2025
Bộ sưu tập: NCBI
ddc:  271.7912
 
Performance of machine learning models in predicting difficult laryngoscopy in the emergency department: a single-centre retrospective study comparing with conventional regression method
Tác giả: Winchana Srivilaithon, Pichamon Thanasarnpaiboon
Xuất bản: England: BMC emergency medicine , 2025
Bộ sưu tập: NCBI
ddc:  633.15
 
New machine-learning models outperform conventional risk assessment tools in Gastrointestinal bleeding
Tác giả: Eszter Boros, József Pintér, Endre Botond Gagyi, Imre Szabó, Roland Hágendorn, Áron Vincze, Ferenc Izbéki, Zsolt Abonyi-Tóth, Andrea Szentesi, Vivien Vass, Péter Hegyi, Bálint Erőss, Roland Molontay, Kristóf Gergely Prószéky, Nóra Vörhendi, Orsolya Anna Simon, Brigitta Teutsch, Dániel Pálinkás, Levente Frim, Edina Tari
Xuất bản: England: Scientific reports , 2025
Bộ sưu tập: NCBI
ddc:  612.665
 
Machine learning-aided model for predicting oily sludge pyrolysis under various feedstock and operating conditions
Tác giả: Cheng Lu, Dixuan Li, Beidou Xi, Guangji Hu, Jianbing Li
Xuất bản: Netherlands: Journal of hazardous materials , 2025
Bộ sưu tập: NCBI
eBook (pdf)
ddc:  631.542
 
Robustly interrogating machine learning-based scoring functions: what are they learning?
Tác giả: Guy Durant, Fergus Boyles, Kristian Birchall, Brian Marsden, Charlotte M Deane
Xuất bản: England: Bioinformatics (Oxford, England , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 

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