Výsledky vyhledávání - "Predictive accuracy"

Shapley-Lorenz eXplainable Artificial Intelligence Autor Giudici, Paolo, Raffinetti, Emanuela

“…•A new global eXplainable Artificial Intelligence method is proposed.•Our method is based on the use of Shapley values and Lorenz Zonoid decomposition.•The…”
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Advanced Ensemble Machine Learning Techniques for Optimizing Diabetes Mellitus Prognostication: A Detailed Examination of Hospital Data Autor Al-shanableh, Najah, Alzyoud, Mazen, Al-husban, Raya Yousef, Alshanableh, Nail M., Al-Oun, Ashraf, Al-Batah, Mohammad Subhi, Mowafaq, Salem Alzboon

“…Diabetes is a chronic disease that affects millions of people worldwide. Early diagnosis and effective management are crucial for reducing its complications…”
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SMOTE-LOF for noise identification in imbalanced data classification Autor Asniar, Nur Ulfa Maulidevi, Kridanto Surendro

“…Imbalanced data typically refers to a condition in which several data samples in a certain problem is not equally distributed, thereby leading to the…”
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Predictive Accuracy Index in evaluating the dataset shift (case study) Autor Becker, Jarosław, Becker, Aneta

“…A dataset shift takes place in a situation, where the joint distribution of inputs and outputs differs between the stages of training, testing, and using…”
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Using a national surgical database to predict complications following posterior lumbar surgery and comparing the area under the curve and F1-score for the assessment of prognostic capability Autor DeVries, Zachary, Locke, Eric, Hoda, Mohamad, Moravek, Dita, Phan, Kim, Stratton, Alexandra, Kingwell, Stephen, Wai, Eugene K., Phan, Philippe

“…With spinal surgery rates increasing in North America, models that are able to accurately predict which patients are at greater risk of developing…”
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Comparing the efficiency of WOE and EFB models for spatial pattern analysis of land degradation (case study: Qazvin plain) Autor A. Abolhasani, Gh.R. Zehtabian, H. Khosravi, O. Rahmati, E. Heydari Alamdarloo, P. D’Odorico

“…Land degradation is a global natural hazard that can be controlled by distinguishing susceptible areas. Although new approaches for determining areas prone to…”
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Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility Autor Chen, Wei, Lei, Xinxiang, Chakrabortty, Rabin, Chandra Pal, Subodh, Sahana, Mehebub, Janizadeh, Saeid

“…The objective of this study is to assess the gully head-cut erosion susceptibility and identify gully erosion prone areas in the Meimand watershed, Iran. In…”
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Hybrid ensemble machine learning models Autor Giudici, Paolo, Mariani, Francesca, Polinesi, Gloria

“…Machine learning models are usually assessed and compared in terms of predictive performance. Ensemble models, which average the predictions obtained from…”
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Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems Autor Cao, Kangjie, Zhang, Ting, Huang, Jueqiao

“…In the field of engineering systems—particularly in underground drilling and green stormwater management—real-time predictions are vital for enhancing…”
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A tutorial on bridge sampling Autor Gronau, Quentin F., Sarafoglou, Alexandra, Matzke, Dora, Ly, Alexander, Boehm, Udo, Marsman, Maarten, Leslie, David S., Forster, Jonathan J., Wagenmakers, Eric-Jan, Steingroever, Helen

“…The marginal likelihood plays an important role in many areas of Bayesian statistics such as parameter estimation, model comparison, and model averaging. In…”
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The Effect of Missing Item Data on the Relative Predictive Accuracy of Intimate Partner Violence Risk Assessment Tools Autor Perley-Robertson, Bronwen, Pham, Anna T., Hilton, N. Zoe

“…In an innovative simulation study, Perley-Robertson et al. found that two correctional risk assessment tools were robust to missing data, with summation,…”
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Evaluating the impact and clearance duration of freeway incidents Autor Haule, Henrick J., Sando, Thobias, Lentz, Richard, Chuan, Ching-Hua, Alluri, Priyanka

“…Transportation agencies use incident duration to report the performance of their incident management programs. Most agencies use the incident clearance…”
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A spatio-temporal kernel density estimation framework for predictive crime hotspot mapping and evaluation Autor Hu, Yujie, Wang, Fahui, Guin, Cecile, Zhu, Haojie

“…Predictive hotspot mapping plays a critical role in hotspot policing. Existing methods such as the popular kernel density estimation (KDE) do not consider the…”
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A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study Autor Lu, Xiangfeng, Liu, Zhongying, Cui, Qingmei, Liu, Fangchao, Li, Jianxin, Niu, Xiaoge, Shen, Chong, Hu, Dongsheng, Huang, Keyong, Chen, Jichun, Xing, Xiaolong, Zhao, Yingxin, Lu, Fanghong, Liu, Xiaoqing, Cao, Jie, Chen, Shufeng, Ma, Hongxia, Yu, Ling, Wu, Xianping, Wu, Xigui, Li, Ying, Zhang, Huan, Mo, Xingbo, Zhao, Liancheng, Huang, Jianfeng, Wang, Laiyuan, Wen, Wanqing, Shu, Xiao-Ou, Takeuchi, Fumihiko, Koh, Woon-Puay, Tai, E Shyong, Cheng, Ching-Yu, Wong, Tien Yin, Chang, Xuling, Chan, Mark Yan-Yee, Gao, Wei, Zheng, Hong, Chen, Kexin, Chen, Jing, He, Jiang, Tang, Clara Sze-Man, Lam, Karen Siu Ling, Tse, Hung-Fat, Cheung, Chloe Yu Yan, Takahashi, Atsushi, Kubo, Michiaki, Kato, Norihiro, Terao, Chikashi, Kamatani, Yoichiro, Sham, Pak Chung, Heng, Chew-Kiat, Hu, Zhibin, Chen, Y Eugene, Wu, Tangchun, Shen, Hongbing, Willer, Cristen J, Gu, Dongfeng

“…To construct a polygenic risk score (PRS) for coronary artery disease (CAD) and comprehensively evaluate its potential in clinical utility for primary…”
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Neuropsychological Measures that Predict Progression from Mild Cognitive Impairment to Alzheimer's type dementia in Older Adults: a Systematic Review and Meta-Analysis Autor Belleville, Sylvie, Fouquet, Céline, Hudon, Carol, Zomahoun, Hervé Tchala Vignon, Croteau, Jordie

“…This study aimed to determine the extent to which cognitive measures can predict progression from mild cognitive impairment (MCI) to Alzheimer’s type dementia…”
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Hourly prediction of a building's electricity consumption using case-based reasoning, artificial neural networks and principal component analysis Autor Platon, Radu, Dehkordi, Vahid Raissi, Martel, Jacques

“…•Artificial neural network (ANN) and case-based reasoning (CBR) models for predicting the hourly electricity consumption of an institutional building are…”
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Primer on Risk Assessment and the Statistics Used to Evaluate Its Accuracy Autor Helmus, L. Maaike, Babchishin, Kelly M.

“…The pervasiveness of risk assessment in correctional decision-making necessitates a better understanding of the nature of risk scales and the methods used to…”
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A novel Weighted Average Weakening Buffer Operator based Fractional order accumulation Seasonal Grouping Grey Model for predicting the hydropower generation Autor Li, Zekai, Hu, Xi, Guo, Huan, Xiong, Xin

“…This paper proposes a novel Weighted Average Weakening Buffer Operator based Fractional order accumulation Seasonal Grouping Grey Model (WAWBO-FSGGM(1,1)) for…”
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Defining optimal postvoid residual volume thresholds for predicting delayed postoperative urinary retention in spinal surgery Autor Lee, Jaenam, Suk, Kyung-Soo, Lee, Byung Ho, Park, Si Young, Kim, Hak Sun, Moon, Seong Hwan, Park, Sub-ri, Kim, Namhoo, Shin, Jae Won, Kwon, Ji-Won

“…Postoperative urinary retention (POUR) is a common complication following spinal surgery, increasing patient morbidity through prolonged hospital stays and…”
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A new self-normalized forecast comparison test Autor Li, Haiqi, Zhang, Ni, Zhou, Jin

“…This study develops a novel self-normalized Diebold–Mariano (DM) test for evaluating equal forecast accuracy. The proposed test offers several distinct…”
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