Результаты поиска - "Machine Learning"

Fusing WGCNA and Machine Learning for Immune-Related Gene Prognostic Index in Lung Adenocarcinoma: Precision Prognosis, Tumor Microenvironment Profiling, and Biomarker Discovery по He J, Luan T, Zhao G, Yang Y

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Identification of a pediatric acute hypoxemic respiratory failure signature in peripheral blood leukocytes at 24 hours post-ICU admission with machine learning по Jocelyn R. Grunwell, Jocelyn R. Grunwell, Milad G. Rad, Michael J. Ripple, Michael J. Ripple, Nadir Yehya, Nadir Yehya, Hector R. Wong, Rishikesan Kamaleswaran, Rishikesan Kamaleswaran, Rishikesan Kamaleswaran

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Data-driven risk stratification for preterm birth in Brazil: a population-based study to develop of a machine learning risk assessment approach по Thiago Augusto Hernandes Rocha, Erika Bárbara Abreu Fonseca de Thomaz, Dante Grapiuna de Almeida, Núbia Cristina da Silva, Rejane Christine de Sousa Queiroz, Luciano Andrade, Luiz Augusto Facchini, Marcos Luiggi Lemos Sartori, Dalton Breno Costa, Marcos Adriano Garcia Campos, Antônio Augusto Moura da Silva, Catherine Staton, João Ricardo Nickenig Vissoci

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Psychometric Properties of a Machine Learning-Based Patient-Reported Outcome Measure on Medication Adherence: Single-Center, Cross-Sectional, Observational Study по Virginie Korb-Savoldelli, Yohann Tran, Germain Perrin, Justine Touchard, Jean Pastre, Adrien Borowik, Corine Schwartz, Aymeric Chastel, Eric Thervet, Michel Azizi, Laurence Amar, Benjamin Kably, Armelle Arnoux, Brigitte Sabatier

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Machine-learning model predicting quality of life using multifaceted lifestyles in middle-aged South Korean adults: a cross-sectional study по Junho Kim, Kyoungsik Jeong, Siwoo Lee, Younghwa Baek

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A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study по Min Chen, Xuan Tan, Rema Padman

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The construction of machine learning-based predictive models for high-quality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation по Yu-Heng Xiao, Yu-Lin Hu, Xing-Yu Lv, Li-Juan Huang, Li-Hong Geng, Pu Liao, Yu-Bin Ding, Chang-Chun Niu

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Explainable artificial intelligence models for predicting pregnancy termination among reproductive-aged women in six east African countries: machine learning approach по Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

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Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES по Zhiyuan Sun, Yunhao Yuan, Vahid Farrahi, Fabian Herold, Zhengwang Xia, Xuan Xiong, Zhiyuan Qiao, Yifan Shi, Yahui Yang, Kai Qi, Yufei Liu, Decheng Xu, Liye Zou, Aiguo Chen

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Identification of a Susceptible and High-Risk Population for Postoperative Systemic Inflammatory Response Syndrome in Older Adults: Machine Learning-Based Predictive Model по Haiyan Mai, Yaxin Lu, Yu Fu, Tongsen Luo, Xiaoyue Li, Yihan Zhang, Zifeng Liu, Yuenong Zhang, Shaoli Zhou, Chaojin Chen

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Prediction of precancerous cervical cancer lesions among women living with HIV on antiretroviral therapy in Uganda: a comparison of supervised machine learning algorithms по Florence Namalinzi, Kefas Rimamnuskeb Galadima, Robinah Nalwanga, Isaac Sekitoleko, Leon Fidele Ruganzu Uwimbabazi

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Machine learning approaches to identify the link between heavy metal exposure and ischemic stroke using the US NHANES data from 2003 to 2018 по Yierpan Zibibula, Gulifeire Tayier, Aierpati Maimaiti, Tianze Liu, Jinshuai Lu

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Assessment and establishment of correlation between reactive oxidation species, citric acid, and fructose level in infertile male individuals: A machine-learning approach по Golnaz Shemshaki, Ashitha S Niranjana Murthy, Suttur S Malini

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Machine learning-based identification of a consensus immune-derived gene signature to improve head and neck squamous cell carcinoma therapy and outcome по Xueying Hu, Xueying Hu, Xueying Hu, Haiqun Dong, Haiqun Dong, Haiqun Dong, Wen Qin, Wen Qin, Wen Qin, Ying Bin, Ying Bin, Ying Bin, Wenhua Huang, Wenhua Huang, Wenhua Huang, Min Kang, Min Kang, Min Kang, Rensheng Wang, Rensheng Wang, Rensheng Wang

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Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa по Sunil Sazawal, Kelli K. Ryckman, Sayan Das, Rasheda Khanam, Imran Nisar, Elizabeth Jasper, Arup Dutta, Sayedur Rahman, Usma Mehmood, Bruce Bedell, Saikat Deb, Nabidul Haque Chowdhury, Amina Barkat, Harshita Mittal, Salahuddin Ahmed, Farah Khalid, Rubhana Raqib, Alexander Manu, Sachiyo Yoshida, Muhammad Ilyas, Ambreen Nizar, Said Mohammed Ali, Abdullah H. Baqui, Fyezah Jehan, Usha Dhingra, Rajiv Bahl

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Drug target, class level, and PathFX pathway information share utility for machine learning prediction of common drug-induced side effects по Han Jie Liu, Jennifer L. Wilson

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Can diverse population characteristics be leveraged in a machine learning pipeline to predict resource intensive healthcare utilization among hospital service areas? по Iben M. Ricket, Todd A. MacKenzie, Jennifer A. Emond, Kusum L. Ailawadi, Jeremiah R. Brown

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A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study по Enguang Li, Fangzhu Ai, Chunguang Liang

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Preparing anti-SARS-CoV-2 agent EIDD-2801 by a practical and scalable approach, and quick evaluation via machine learning по Zhen Qin, Bin Dong, Renbing Wang, Dechun Huang, Jubo Wang, Xi Feng, Jinlei Bian, Zhiyu Li

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A stacked machine learning-based classification model for endometriosis and adenomyosis: a retrospective cohort study utilizing peripheral blood and coagulation markers по Weiying Wang, Weiying Wang, Weiwei Zeng, Sen Yang

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