Search Results - Random forest algorithms

Safety climate in the surgical center during the Covid-19 pandemic: mixed-method study. by Azevedo, Ana Regina Ramos, Fassarella, Cintia Silva, de Andrade Lourenção, Daniela Campos, Camerini, Flavia Giron, de Mendonça Henrique, Danielle, da Silva, Renata Flavia Abreu

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In Silico Characterization of an Important Metacyclogenesis Marker in Leishmania donovani, HASPB1, as a Potential Vaccine Candidate. by Kordi, Bahareh, Basmenj, Esmaeil Roohparvar, Majidiani, Hamidreza, Basati, Gholam, Sargazi, Dariush, Nazari, Naser, Shams, Morteza

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Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach. by Marasinou, Chrysostomos, Li, Bo, Paige, Jeremy, Omigbodun, Akinyinka, Nakhaei, Noor, Hoyt, Anne, Hsu, William

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Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors. by Tang, Xiaojia, Thompson, Kevin J., Kalari, Krishna R., Sinnwell, Jason P., Suman, Vera J., Vedell, Peter T., McLaughlin, Sarah A., Northfelt, Donald W., Aspitia, Alvaro Moreno, Gray, Richard J., Carter, Jodi M., Weinshilboum, Richard, Wang, Liewei, Boughey, Judy C., Goetz, Matthew P.

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Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques. by Biswas, Niloy, Ali, Md Mamun, Rahaman, Md Abdur, Islam, Minhajul, Mia, Md. Rajib, Azam, Sami, Ahmed, Kawsar, Bui, Francis M., Al-Zahrani, Fahad Ahmed, Moni, Mohammad Ali

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COVID-19's influence on cardiac function: a machine learning perspective on ECG analysis. by Gomes, Juliana Carneiro, de Santana, Maíra Araújo, Masood, Aras Ismael, de Lima, Clarisse Lins, dos Santos, Wellington Pinheiro

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Image-based features in machine learning to identify delivery errors and predict error magnitude for patient-specific IMRT quality assurance. by Huang, Ying, Pi, Yifei, Ma, Kui, Miao, Xiaojuan, Fu, Sichao, Chen, Hua, Wang, Hao, Gu, Hengle, Shao, Yan, Duan, Yanhua, Feng, Aihui, Zhuo, Weihai, Xu, Zhiyong

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Radiomic features from dynamic susceptibility contrast perfusion-weighted imaging improve the three-class prediction of molecular subtypes in patients with adult diffuse gliomas. by Pei, Dongling, Guan, Fangzhan, Hong, Xuanke, Liu, Zhen, Wang, Weiwei, Qiu, Yuning, Duan, Wenchao, Wang, Minkai, Sun, Chen, Wang, Wenqing, Wang, Xiangxiang, Guo, Yu, Wang, Zilong, Liu, Zhongyi, Xing, Aoqi, Guo, Zhixuan, Luo, Lin, Liu, Xianzhi, Cheng, Jingliang, Zhang, Bin

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Machine learning and feature analysis of the cortical microtubule organization of Arabidopsis cotyledon pavement cells. by Yoshida, Daichi, Akita, Kae, Higaki, Takumi

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Predicting Adolescent Intervention Non-responsiveness for Precision HIV Prevention Using Machine Learning. by Wang, Bo, Liu, Feifan, Deveaux, Lynette, Ash, Arlene, Gerber, Ben, Allison, Jeroan, Herbert, Carly, Poitier, Maxwell, MacDonell, Karen, Li, Xiaoming, Stanton, Bonita

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Exploring the association of physical activity with the plasma and urine metabolome in adolescents and young adults. by Muli, Samuel, Brachem, Christian, Alexy, Ute, Schmid, Matthias, Oluwagbemigun, Kolade, Nöthlings, Ute

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Health Services Research and Pharmacy Practice Conference Abstracts: Partnerships in Healthcare: Advancing Sustainable Medicines Optimisation 17–18 April 2023 University of Bradfor...

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Health-related quality of life in various health conditions: two consecutive surveys of older Japanese adults. by Ikeda, Takaaki, Hiratsuka, Yoshimune, Yanagi, Natsuyo, Komaki, Yasunori, Murakami, Masayasu, Aida, Jun, Kondo, Katsunori, Osaka, Ken

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A machine-learning-based combination of criteria to detect bladder cancer lymph node metastasis on [18F]FDG PET/CT: a pathology-controlled study. by Girard, Antoine, Dercle, Laurent, Vila-Reyes, Helena, Schwartz, Lawrence H., Girma, Astrid, Bertaux, Marc, Radulescu, Camelia, Lebret, Thierry, Delcroix, Olivier, Rouanne, Mathieu

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Cardiac magnetic resonance radiomics for disease classification. by Zhang, Xiaoxuan, Cui, Caixia, Zhao, Shifeng, Xie, Lizhi, Tian, Yun

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Application of supervised machine learning algorithms for the evaluation of utricular function on patients with Meniere's disease: utilizing subjective visual vertical and ocular-v... by Bragg, Phillip G., Norton, Benjamin M., Petrak, Michelle R., Weiss, Allyson D., Kandl, Lindsay M., Corrigan, Megan L., Bahner, Cammy L., Matsuoka, Akihiro J.

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Development of deep learning auto-encoder algorithms for predicting alcohol use in Korean adolescents based on cross-sectional data. by Lee, Serim

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Features influencing surface acting of different clusters of nursing students in vocational college based on interpretable machine learning: A cross-sectional study. by Da, Chaojin, Wu, Chen, Ji, Zhenying, Zhang, Yuxin, Sun, Nanzhu, Yang, Lu, Zhao, Qiuyan, He, Wenjuan, Huang, Yanjin, Wang, Qi

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Treating surgical site infection by honey antibacterial wound dressing in a neonate: a case report. by Parizad, Naser, Hajimohammadi, Kazem, Hassanpour, Amireh, Goli, Rasoul

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Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data. by Mar, Javier, Gorostiza, Ania, Ibarrondo, Oliver, Cernuda, Carlos, Arrospide, Arantzazu, Iruin, Álvaro, Larrañaga, Igor, Tainta, Mikel, Ezpeleta, Enaitz, Alberdi, Ane

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