Search Results - Death Machine

Costs and mortality associated with HIV: a machine learning analysis of the French national health insurance database by Martin Prodel, Laurent Finkielsztejn, Laëtitia Roustand, Gaëlle Nachbaur, Lucie de Leotoing, Marie Genreau, Fabrice Bonnet, Jade Ghosn

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Creation of a Rat Takotsubo Syndrome Model and Utilization of Machine Learning Algorithms for Screening Diagnostic Biomarkers by Huai H, Li J, Zhang X, Xu Q, Lan H

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Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation by Pan, Pan, Li, Yichao, Xiao, Yongjiu, Han, Bingchao, Su, Longxiang, Su, Mingliang, Li, Yansheng, Zhang, Siqi, Jiang, Dapeng, Chen, Xia, Zhou, Fuquan, Ma, Ling, Bao, Pengtao, Xie, Lixin

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An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study by Kim, Hyung-Jun, Han, Deokjae, Kim, Jeong-Han, Kim, Daehyun, Ha, Beomman, Seog, Woong, Lee, Yeon-Kyeng, Lim, Dosang, Hong, Sung Ok, Park, Mi-Jin, Heo, JoonNyung

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Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida by Debarshi Datta, Safiya George Dalmida, Laurie Martinez, David Newman, Javad Hashemi, Taghi M. Khoshgoftaar, Connor Shorten, Candice Sareli, Paula Eckardt

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Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study by Ikemura, Kenji, Bellin, Eran, Yagi, Yukako, Billett, Henny, Saada, Mahmoud, Simone, Katelyn, Stahl, Lindsay, Szymanski, James, Goldstein, D Y, Reyes Gil, Morayma

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Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study by Yun Kwan Kim, Won-Doo Seo, Sun Jung Lee, Ja Hyung Koo, Gyung Chul Kim, Hee Seok Song, Minji Lee

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Data-Driven and Machine-Learning Methods to Project Coronavirus Disease 2019 Pandemic Trend in Eastern Mediterranean by Wenbo Huang, Wenbo Huang, Shuang Ao, Dan Han, Yuming Liu, Shuang Liu, Shuang Liu, Yaojiang Huang, Yaojiang Huang

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Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach by Whitney S Brakefield, Olufunto A Olusanya, Arash Shaban-Nejad

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Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study by Cos, Heidy, Li, Dingwen, Williams, Gregory, Chininis, Jeffrey, Dai, Ruixuan, Zhang, Jingwen, Srivastava, Rohit, Raper, Lacey, Sanford, Dominic, Hawkins, William, Lu, Chenyang, Hammill, Chet W

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Unraveling the regulatory cell death pathways in gastric cancer: a multi-omics study by Jiazheng Sun, Lixiang Rao, Sirui Zhou, Yulan Zeng, Yalu Sun

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The criticality Index-mortality: A dynamic machine learning prediction algorithm for mortality prediction in children cared for in an ICU by Anita K Patel, Eduardo Trujillo-Rivera, Hiroki Morizono, Murray M. Pollack

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Discovering and Validating Cuproptosis-Associated Marker Genes for Accurate Keloid Diagnosis Through Multiple Machine Learning Models by Guo Z, Yu Q, Huang W, Huang F, Chen X, Wei C

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Machine Learning Approaches for Assessing Risk Factors of Adrenal Insufficiency in Patients Undergoing Immune Checkpoint Inhibitor Therapy by Woorim Kim, Young Ah Cho, Kyung Hyun Min, Dong-Chul Kim, Kyung-Eun Lee

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Machine learning-based in-hospital mortality prediction of HIV/AIDS patients with Talaromyces marneffei infection in Guangxi, China. by Minjuan Shi, Jianyan Lin, Wudi Wei, Yaqin Qin, Sirun Meng, Xiaoyu Chen, Yueqi Li, Rongfeng Chen, Zongxiang Yuan, Yingmei Qin, Jiegang Huang, Bingyu Liang, Yanyan Liao, Li Ye, Hao Liang, Zhiman Xie, Junjun Jiang

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Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms by Taylor M. Weiskittel, Andrew Cao, Kevin Meng-Lin, Zachary Lehmann, Benjamin Feng, Cristina Correia, Cheng Zhang, Philip Wisniewski, Shizhen Zhu, Choong Yong Ung, Hu Li

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Identifying Drug Targets in Pancreatic Ductal Adenocarcinoma Through Machine Learning, Analyzing Biomolecular Networks, and Structural Modeling by Wenying Yan, Xingyi Liu, Yibo Wang, Shuqing Han, Fan Wang, Xin Liu, Fei Xiao, Guang Hu, Guang Hu

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A macrophage related signature for predicting prognosis and drug sensitivity in ovarian cancer based on integrative machine learning by Bo Zhao, Lipeng Pei

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Leveraging a disulfidptosis-related signature to predict the prognosis and immunotherapy effectiveness of cutaneous melanoma based on machine learning by Yi Zhao, Yanjun Wei, Lingjia Fan, Yuanliu Nie, Jianan Li, Renya Zeng, Jixian Li, Xiang Zhan, Lingli Lei, Zhichao Kang, Jiaxin Li, Wentao Zhang, Zhe Yang

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Machine learning prediction of suicidal ideation, planning, and attempt among Korean adults: A population-based study by Jeongyoon Lee, Tae-Young Pak

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