Modeling and Discovering Direct Causes for Predictive Models by Yizuo Chen, Amit Bhatia

“… We introduce a causal modeling framework that captures the input-output behavior of predictive models (e.g., machine learning models). …”
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Predictive Models of Business Value Management by Kaganovskyi Oleksandr S., Chmutova Iryna M.

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Predictive power of nuclear-mass models by Yu. A. Litvinov, A. Sobiczewski, E. A. Cherepanov

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ON DESIGN OF PREDICTIVE MODEL FOR HEART DISEASE by Soumyendu Bhattacharjee, Susmita Das, Sangita Roy, Arpita Santra, Anasuya Sarkar, Moumita Pa, Biswarup Neogi

Subjects: “…predictive model…”
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Melanoma risk prediction models by Nikolić Jelena, Lončar-Turukalo Tatjana, Sladojević Srđan, Marinković Marija, Janjić Zlata

“…The aim of this study was to identify most significant factors for melanoma prediction in our population and to create prognostic models for identification and differentiation of individuals at risk. …”
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Explainable Model Prediction of Memristor by Sruthi Pallathuvalappil, Rahul Kottappuzhackal, Alex James

“…The accurate memristor model prediction becomes critical to decipher the overall circuit function in a wide range of nonideal and practical conditions. …”
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Atmospheric Modeling for Wildfire Prediction by Fathima Nuzla Ismail, Brendon J. Woodford, Sherlock A. Licorish

Subjects: “…one-class machine learning models…”
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Prediction Model for Soybean Productivity by Ion GANEA

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Models for predicting juvenile hypertension by Vytautas Janilionis, Edita Janavičiūtė, Jūratė Klumbienė, Giedrė Sakalauskienė

“… Aim of present study was to create some models to predict juvenile hypertension. Data was taken from longitudinal study of Juvenile hypertension in Lithuania. …”
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Modelling complexity : The limits to prediction by Michael Batty, Paul M. Torrens

“…We develop these, introducing changes in the meaning of validity posed by the use to which such models are to be put in terms of their users. We draw these ideas together as conclusions about the limits posed to prediction in complex systems. …”
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Modeling and Model Predictive Power and Rate Control of Wireless Communication Networks by Cunwu Han, Dehui Sun, Song Bi, Lei Liu, Zhengxi Li

“…A robust delay-dependent model predictive power and rate control method is proposed, and the state feedback control law is obtained by solving an optimization problem that is derived by using linear matrix inequality (LMI) techniques. …”
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Study on predictive models for COVID-19 in Cuba by Juan Felipe Medina Mendieta, Manuel Eduardo Cortés Cortés, Manuel Cortés Iglesias, Annia del Carmen Pérez Fernández, Marianelis Manzano Cabrera

“…<br /><strong>Results:</strong> there is an adequacy of the presented models with respect to the predicted and the real values which allow their reliability for the predictions made for Cuba.…”
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Risk-Stratified Predictive Models of Pregnancy Loss by O. V. Shirai, B. I. Aslanov, S. V. Rishchuk, S. E. Melnikova

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DEVELOPING PREDICTIVE MODELS OF INTERNET SERVICE STRATEGIES by Maxim Yu. Khramov

“…Issues related to strategic managementof interactive online services as well as difficulties in predicting results of strategies’ implementation were studied in the article. …”
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Research on Simplified Design of Model Predictive Control by Qing Zhang, Chi Zhang, Qi Wang, Shiyun Dong, Aoqi Xiao

Subjects: “…model predictive control…”
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Fuzzy Model Predictive Control for Unmanned Helicopter by Łukasz Kiciński, Sebastian Topczewski

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On the Relevance and Limitations of Predictive Models in Clinical Psychology by Emanuele Maria Merlo

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Editorial: Model organisms in predictive toxicology 2023 by Cristina Luceri, Abdulahad Dogan, Angel León-Buitimea

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Predictive model for necrotising fasciitis (NF) outcome by Sushmitha Kalakeri, Utsav Balar, Gehad Abdelkhalek

“…Further research with larger sample sizes is recommended to refine the model and improve predictive accuracy.…”
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A Predictive Model of the HIV Infection Course by E. I. Veselova, G. D. Kaminskiy, K. A. Kocharyan, A. B. Peregudova, O. V. Lovacheva, A. G. Samoylova

“…The course of HIV infection depends on the degree of HIV suppression during ART.The objective: to evaluate feasibility of using three factors: viral load (VL), HIV reservoir and CD8 T cells before ART initiation to estimate future levels of “residual” viremia and develop a predictive model.Subjects and Methods. 74 naive patients with HIV infection were enrolled in the study. …”
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