Search Results - Death Machine

Research utility and limitations of textual data in the National Violent Death Reporting System: a scoping review and recommendations by Linh N. Dang, Eskira T. Kahsay, LaTeesa N. James, Lily J. Johns, Isabella E. Rios, Briana Mezuk

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Machine Learning-Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study by Hyejun Kim, Yejun Son, Hojae Lee, Jiseung Kang, Ahmed Hammoodi, Yujin Choi, Hyeon Jin Kim, Hayeon Lee, Guillaume Fond, Laurent Boyer, Rosie Kwon, Selin Woo, Dong Keon Yon

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Apply machine learning to predict cardiovascular risk in rural clinics from Mexico / Misael Zambrano-de la Torre ... [et al.] by Misael Zambrano-de la, Torre, Maximiliano, Guzmán-Fernández, Claudia, Sifuentes-Gallardo, Hamurabi, Gamboa-Rosales, Huizilopoztli, Luna-García, Ernesto, Sandoval-García, Ramiro, Esquivel-Felix, Héctor, Durán-Muñoz

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Unraveling the Complex Interactions: Machine Learning Approaches to Predict Bacterial Survival against ZnO and Lanthanum-Doped ZnO Nanoparticles by Diego E. Navarro-López, Yocanxóchitl Perfecto-Avalos, Araceli Zavala, Marco A. de Luna, Araceli Sanchez-Martinez, Oscar Ceballos-Sanchez, Naveen Tiwari, Edgar R. López-Mena, Gildardo Sanchez-Ante

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Exploring Machine Learning Algorithms to Predict Diarrhea Disease and Identify its Determinants among Under-Five Years Children in East Africa by Tirualem Zeleke Yehuala, Nebiyu Mekonnen Derseh, Makda Fekadie Tewelgne, Sisay Maru Wubante

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Machine learning algorithms identifying the risk of new-onset ACS in patients with type 2 diabetes mellitus: A retrospective cohort study by Zuoquan Zhong, Shiming Sun, Jingfan Weng, Hanlin Zhang, Hui Lin, Jing Sun, Miaohong Pan, Hangyuan Guo, Jufang Chi

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Prediction of COVID-19 patients' participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches by Vajihe Ramezani-Doroh, Somayeh Najafi-Ghobadi, Faride Karimi, Maryam Rangchian, Omid Hamidi

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Chapter La guerra pensata: narrazioni, teoria, prassi by Bozzo, Luciano

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Chapter La guerra pensata: narrazioni, teoria, prassi by Bozzo, Luciano

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OAPEN Library: description of the publication

Identification of Drug Targets and Their Inhibitors in <i>Yersinia pestis</i> Strain 91001 through Subtractive Genomics, Machine Learning, and MD Simulation Approaches by Hamid Ali, Abdus Samad, Amar Ajmal, Amjad Ali, Ijaz Ali, Muhammad Danial, Masroor Kamal, Midrar Ullah, Riaz Ullah, Muhammad Kalim

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Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study by Saeed Shakibfar, Saeed Shakibfar, Jing Zhao, Jing Zhao, Jing Zhao, Huiqi Li, Hedvig Nordeng, Hedvig Nordeng, Angela Lupattelli, Angela Lupattelli, Milena Pavlovic, Milena Pavlovic, Geir Kjetil Sandve, Geir Kjetil Sandve, Fredrik Nyberg, Björn Wettermark, Mohammadhossein Hajiebrahimi, Morten Andersen, Maurizio Sessa

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The Effectiveness of Machine Learning Systems' Accuracy in Predicting Heart Stroke Using Socio-Demographic and Risk Factors - A Comparative Analysis of Various Models by Nihar Ranjan Panda, Kamal Lochan Mahanta, Jitendra Kumar Pati, Ruchi Bhuyan, Soumya subhashree satapathy

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Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study by Dylan Young, Bita Houshmand, Chunyi Christie Tan, Abirami Kirubarajan, Ashna Parbhakar, Jazleen Dada, Wendy Whittle, Mara L. Sobel, Luis M. Gomez, Mario Rüdiger, Ulrich Pecks, Peter Oppelt, Joel G. Ray, Sebastian R. Hobson, John W. Snelgrove, Rohan D'Souza, Rasha Kashef, Dafna Sussman

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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 by Haiyan Mai, Yaxin Lu, Yu Fu, Tongsen Luo, Xiaoyue Li, Yihan Zhang, Zifeng Liu, Yuenong Zhang, Shaoli Zhou, Chaojin Chen

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Predicting malaria outbreaks from sea surface temperature variability up to 9 months ahead in Limpopo, South Africa, using machine learning by Patrick Martineau, Swadhin K. Behera, Masami Nonaka, Ratnam Jayanthi, Takayoshi Ikeda, Noboru Minakawa, Philip Kruger, Qavanisi E. Mabunda

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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 by 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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Machine Learning Techniques to Explore Clinical Presentations of COVID-19 Severity and to Test the Association With Unhealthy Opioid Use: Retrospective Cross-sectional Cohort Study by Hale M Thompson, Brihat Sharma, Dale L Smith, Sameer Bhalla, Ihuoma Erondu, Aniruddha Hazra, Yousaf Ilyas, Paul Pachwicewicz, Neeral K Sheth, Neeraj Chhabra, Niranjan S Karnik, Majid Afshar

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Structure- and machine learning-guided engineering demonstrate that a non-canonical disulfide in an anti-PD-1 rabbit antibody does not impede antibody developability by Wei-Ching Liang, Hongkang Xi, Dawei Sun, Luigi D'Ascenzo, Jonathan Zarzar, Nicole Stephens, Ryan Cook, Yinyin Li, Zhengmao Ye, Marissa Matsumoto, Jian Payandeh, Matthieu Masureel, Yan Wu

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A machine-learning guided method for predicting add-on and switch in secondary data sources: A case study on anti-seizure medications in Danish registries by Peter Suhr Breitenstein, Israa Mahmoud, Fahed Al-Azzawi, Saeed Shakibfar, Maurizio Sessa

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Exploring machine learning algorithms to predict acute respiratory tract infection and identify its determinants among children under five in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Bezawit Melak Fente, Sisay Maru Wubante, Nebiyu Mekonnen Derseh

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