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Select item 99025611.

High-throughput single-molecule quantification of individual base stacking energies in nucleic acids

Jibin Abraham Punnoose, Kevin J. Thomas, Arun Richard Chandrasekaran, Javier Vilcapoma, Andrew Hayden, Kacey Kilpatrick, Sweta Vangaveti, Alan Chen, Thomas Banco, Ken Halvorsen

Nat Commun. 2023; 14: 631. Published online 2023 Feb 6. doi: 10.1038/s41467-023-36373-8

PMCID:: PMC9902561

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Select item 105596152.

A hybrid Stacking-SMOTE model for optimizing the prediction of autistic genes

Eman Ismail, Walaa Gad, Mohamed Hashem

BMC Bioinformatics. 2023; 24: 379. Published online 2023 Oct 6. doi: 10.1186/s12859-023-05501-y

PMCID:: PMC10559615

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Novel Prediction Method Applied to Wound Age Estimation: Developing a Stacking Ensemble Model to Improve Predictive Performance Based on Multi-mRNA

Lihong Dang, Jian Li, Xue Bai, Mingfeng Liu, Na Li, Kang Ren, Jie Cao, Qiuxiang Du, Junhong Sun

Diagnostics (Basel) 2023 Feb; 13(3): 395. Published online 2023 Jan 20. doi: 10.3390/diagnostics13030395

PMCID:: PMC9914838

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RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data

Amjad Rehman, Teg Alam, Muhammad Mujahid, Faten S. Alamri, Bayan Al Ghofaily, Tanzila Saba

PeerJ Comput Sci. 2023; 9: e1684. Published online 2023 Nov 21. doi: 10.7717/peerj-cs.1684

PMCID:: PMC10703010

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Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique

Sayma Alam Suha, Muhammad Nazrul Islam

Heliyon. 2023 Mar; 9(3): e14518. Published online 2023 Mar 16. doi: 10.1016/j.heliyon.2023.e14518

PMCID:: PMC10040521

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A Bayesian optimization tunning integrated multi-stacking classifier framework for the prediction of radiodermatitis from 4D-CT of patients underwent breast cancer radiotherapy

Kuan Wu, Xiaoyan Miu, Hui Wang, Xiadong Li

Front Oncol. 2023; 13: 1152020. Published online 2023 Jun 13. doi: 10.3389/fonc.2023.1152020

PMCID:: PMC10294237

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A bistable and reconfigurable molecular system with encodable bonds

Chunyang Zhou, Donglei Yang, Sebastian Sensale, Pranav Sharma, Dongfang Wang, Lei Yu, Gaurav Arya, Yonggang Ke, Pengfei Wang

Sci Adv. 2022 Nov; 8(46): eade3003. Published online 2022 Nov 16. doi: 10.1126/sciadv.ade3003

PMCID:: PMC9674029

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Fear in a Handful of Dust: The Epidemiological, Environmental, and Economic Drivers of Death by PM_2.5 Pollution

James Ming Chen, Mira Zovko, Nika Šimurina, Vatroslav Zovko

Int J Environ Res Public Health. 2021 Aug; 18(16): 8688. Published online 2021 Aug 17. doi: 10.3390/ijerph18168688

PMCID:: PMC8393768

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Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus

Nur Farahaina Idris, Mohd Arfian Ismail, Mohd Izham Mohd Jaya, Ashraf Osman Ibrahim, Anas W. Abulfaraj, Faisal Binzagr

PLoS One. 2024; 19(5): e0302595. Published online 2024 May 8. doi: 10.1371/journal.pone.0302595

PMCID:: PMC11078423

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Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning Model

Md. Sohanur Rahman, Hasib Ryan Rahman, Johayra Prithula, Muhammad E. H. Chowdhury, Mosabber Uddin Ahmed, Jaya Kumar, M. Murugappan, Muhammad Salman Khan

Diagnostics (Basel) 2023 Jun; 13(11): 1948. Published online 2023 Jun 2. doi: 10.3390/diagnostics13111948

PMCID:: PMC10252957

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HPOSS: A hierarchical portfolio optimization stacking strategy to reduce the generalization error of ensembles of models

Luan Carlos de Sena Monteiro Ozelim, Dimas Betioli Ribeiro, José Antonio Schiavon, Vinicius Resende Domingues, Paulo Ivo Braga de Queiroz

PLoS One. 2023; 18(8): e0290331. Published online 2023 Aug 31. doi: 10.1371/journal.pone.0290331

PMCID:: PMC10470931

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A stacking ensemble machine learning model to predict alpha-1 antitrypsin deficiency-associated liver disease clinical outcomes based on UK Biobank data

Linxi Meng, Will Treem, Graham A. Heap, Jingjing Chen

Sci Rep. 2022; 12: 17001. Published online 2022 Oct 11. doi: 10.1038/s41598-022-21389-9

PMCID:: PMC9554039

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Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence

Hela Elmannai, Nora El-Rashidy, Ibrahim Mashal, Manal Abdullah Alohali, Sara Farag, Shaker El-Sappagh, Hager Saleh

Diagnostics (Basel) 2023 Apr; 13(8): 1506. Published online 2023 Apr 21. doi: 10.3390/diagnostics13081506

PMCID:: PMC10137609

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Development and validation of a cuproptosis-related prognostic model for acute myeloid leukemia patients using machine learning with stacking

Xichao Wang, Hao Sun, Yongfei Dong, Jie Huang, Lu Bai, Zaixiang Tang, Songbai Liu, Suning Chen

Sci Rep. 2024; 14: 2802. Published online 2024 Feb 2. doi: 10.1038/s41598-024-53306-7

PMCID:: PMC10837443

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Stacked regressions and structured variance partitioning for interpretable brain maps

Ruogu Lin, Thomas Naselaris, Kendrick Kay, Leila Wehbe

Version 1. bioRxiv. Preprint. 2023 Apr 24. doi: 10.1101/2023.04.23.537988

PMCID:: PMC10168225

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“Stealing fire or stacking knowledge” by machine intelligence to model link prediction in complex networks

Alessandro Muscoloni, Carlo Vittorio Cannistraci

iScience. 2023 Jan 20; 26(1): 105697. Published online 2022 Nov 30. doi: 10.1016/j.isci.2022.105697

PMCID:: PMC9771718

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Prediction of Prostate Cancer Risk Stratification Based on A Nonlinear Transformation Stacking Learning Strategy

Xinyu Cao, Yin Fang, Chunguang Yang, Zhenghao Liu, Guoping Xu, Yan Jiang, Peiyan Wu, Wenbo Song, Hanshuo Xing, Xinglong Wu

Int Neurourol J. 2024 Mar; 28(1): 33–43. Published online 2024 Mar 31. doi: 10.5213/inj.2346332.166

PMCID:: PMC10990759

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Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors

Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong, Fang Wang

BMC Med Inform Decis Mak. 2021; 21: 187. Published online 2021 Jun 11. doi: 10.1186/s12911-021-01535-5

PMCID:: PMC8196502

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Select item 1105714319.

Genomic prediction of blood biomarkers of metabolic disorders in Holstein cattle using parametric and nonparametric models

Lucio F. M. Mota, Diana Giannuzzi, Sara Pegolo, Enrico Sturaro, Daniel Gianola, Riccardo Negrini, Erminio Trevisi, Paolo Ajmone Marsan, Alessio Cecchinato

Genet Sel Evol. 2024; 56: 31. Published online 2024 Apr 29. doi: 10.1186/s12711-024-00903-9

PMCID:: PMC11057143

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Diagnosis of COVID-19 Using Chest X-ray Images and Disease Symptoms Based on Stacking Ensemble Deep Learning

Abdulaziz AlMohimeed, Hager Saleh, Nora El-Rashidy, Redhwan M. A. Saad, Shaker El-Sappagh, Sherif Mostafa

Diagnostics (Basel) 2023 Jun; 13(11): 1968. Published online 2023 Jun 5. doi: 10.3390/diagnostics13111968

PMCID:: PMC10253005

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PMC Images search for machine for stacking

Figure 3

Stacking ensemble of machine learning models with “hand-crafted” image features.

A Non-Invasive Interpretable Diagnosis of Melanoma Skin Cancer Using Deep Learning and Ensemble Stacking of Machine Learning Models

Diagnostics (Basel). 2022 Mar;12(3):726.
Figure 3

AUC comparison for the different machine learning models and the stacking classifier

Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare

Patterns (N Y). 2022 Jan 14;3(1):100395.
Fig 12Dipteryx alata image stacking.

a-d) Images from the same pollen grain. e) Sharp image obtained by stacking the images shown in a-d. To solve the problem of blurred images, the stacking of different focuses of the pollen image can be a promising approach.

Feature Extraction and Machine Learning for the Classification of Brazilian Savannah Pollen Grains

PLoS One. 2016;11(6):e0157044.
Fig. 2

Stacking ensemble-based deep learning model

Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications

New Gener Comput. 2022;40(4):987-1007.