Suchergebnisse - Predictive Learning Models classification

Machine learning predictive classification models for the carcinogenic activity of activated metabolites derived from aromatic amines and nitroaromatics von Halabi, Andrés, Rincón, Elizabeth, Chamorro, Eduardo

“… (derived from AA and NA species) and the water solvent to obtain reliable predictive classification models …”
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Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils von Sabatino, Manuela, Fabiani, Marco, Božović, Mijat, Garzoli, Stefania, Antonini, Lorenzo, Marcocci, Maria Elena, Palamara, Anna Teresa, De Chiara, Giovanna, Ragno, Rino

“… A subset of essential oils was experimentally tested in an in vitro model of HSV-1 infection and the determined IC50s and CC50s values were used in conjunction with the results …”
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Primary Hyperhidrosis and Sensitive Skin: Exploring the Link with Predictive Machine Learning-Based Classification Models von McCormick, Erika T, Choi, Joung Min, Azim, Sara Abdel, Whiting, Cleo, Pieretti, Lisa, Zhang, Liqing, Friedman, Adam

“… )-exempt survey was disseminated by the International Hyperhidrosis Society. A predictive classification model for SS was built using random forest machine learning algorithms …”
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Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability von Li, Guo, Li, Jiaxuan, Tian, Yujia, Zhao, Yunyang, Pang, Xiaoyang, Yan, Aixia

“… In this study, we built classification models using machine learning techniques to predict the bioactivity of non-covalent inhibitors of Bruton’s tyrosine kinase (BTK …”
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Type 2 diabetes mellitus classification using predictive supervised learning model von Roobini, M. S., Lakshmi, M., Rajalakshmi, R., Sujihelen, L., Babu, K.

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Predictive Maintenance using Machine Learning Based Classification Models von Chazhoor, Anisha, Mounika, Y, Vergin Raja Sarobin, M, Sanjana, M V, Yasashvini, R

“… Several predictive models using machine learning on the Semiconductor Manufacturing process dataset (SECOM …”
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A Piecewise Linear Regression and Classification Algorithm With Application to Learning and Model Predictive Control of Hybrid Systems von Bemporad, Alberto

“… This article proposes an algorithm for solving multivariate regression and classification problems using piecewise linear predictors over a polyhedral partition of the feature space …”
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Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors von Anand, Vatsala, Khajuria, Ajay, Pachauri, Rupendra Kumar, Gupta, Vinay

“… In this study, different machine learning models were used to detect and classify kidney tumors …”
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Machine Learning in Predictive Toxicology: Recent Applications and Future Directions for Classification Models von Wang, Marcus W H, Goodman, Jonathan M, Allen, Timothy E H

“… The recent successes of these machine learning methods in predictive toxicology are summarized, and a comparison of some models used in predictive toxicology …”
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Photoreceptor layer thinning is an early biomarker for type 2 diabetes: a cohort study in UK Biobank von Ma, Yiyuan, Wu, Yue, Hu, Leyi, Zhang, Xinyu, Zheng, Danying, Liu, Zhenzhen, Jin, Guangming

“… ) images, excluding individuals with neurological or ocular diseases. Cox proportional hazard models were used to analyse the association between baseline POS thickness and incident T2D …”
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Classification and predictive models using supervised machine learning: A conceptual review von Pienaar, M A, Naidoo, K D

“… Supervised machine learning models (SMLMs) are likely to be a prevalent approach in the literature on medical machine learning …”
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A New Predictive Method for Classification Tasks in Machine Learning: Multi-Class Multi-Label Logistic Model Tree (MMLMT) von Ghasemkhani, Bita, Balbal, Kadriye Filiz, Birant, Derya

“… This paper introduces a novel classification method for multi-class multi-label datasets, named multi-class multi-label logistic model tree (MMLMT …”
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Early predictive model for breast cancer classification using blended ensemble learning von Mahesh, T. R., Vinoth Kumar, V., Vivek, V., Karthick Raghunath, K. M., Sindhu Madhuri, G.

“… A Blended ensemble learning, which is an innovative approach, has been utilized for the classification of breast cancer and this model performs …”
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Pediatric pneumonia X-ray image classification: predictive model development with DenseNet-169 transfer learning von Katreddi, Sasanka, Midatani, Avinash, Roy, Akshara P., Velpuri, Usha, Kasani, Sujan

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Identifying Suspected Instances of Fraud Utilizing Machine Learning Predictive Classification Models that Minimize Manual Labor to Inspect Anomalies von Andrews, Kyle

“… The bank provided a client list of 139 clients with over 12 million transactions for 2020 to identify suspected instances of bank wire fraud and create a predictive classification machine learning …”
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Experimental application of classification learning to generate simplified model predictive controls for a shared office heating system von Bursill, Jayson, O'Brien, William, Beausoleil-Morrison, Ian

“… The application of model-based predictive control (MPC) to commercial buildings has been a topic of increasing interest in the literature …”
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The Predictive Validity of Machine Learning Models in the Classification and Treatment of Major Depressive Disorder: State of the Art and Future Directions von Ermers, Nick J., Hagoort, Karin, Scheepers, Floortje E.

“… predictions and detect relevant clusters. Due to the multidimensionality at play in the pathogenesis of depression, it is suggested that machine learning could contribute to improving classification …”
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Deep Learning Predictive Model for Colon Cancer Patient using CNN-based Classification von Tasnim, Zarrin, Chakraborty, Sovon, Shamrat, F. M. Javed Mehedi, Chowdhury, Ali Newaz, Nuha, Humaira Alam, Karim, Asif, Zahir, Sabrina Binte, Billah, Md. Masum

“… In this research, CNN models are employed to analyse …”
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Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine von Liu, Jinlei, Dan, Wenchao, Liu, Xudong, Zhong, Xiaoxue, Chen, Cheng, He, Qingyong, Wang, Jie

“… Backgrounds Dyslipidemia is a prominent risk factor for cardiovascular diseases and one of the primary independent modifiable factors of diabetes and stroke …”
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Pollution risk assessment by designing predictive binary classification models of substituted benzenes centered on data mining and machine learning techniques von N’guessan, Aubin, Dali, Brice, Esmel, Elvice Akori, Moussé, Logbo Mathias, Ziao, Nahossé, N’guessan, Raymond Kré, Megnassan, Eugene

“… In this study, we evaluated four binary classification machine learning (ML) models (support vector machine, k -nearest neighbor, CART decision tree and random forest …”
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