What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction by Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro

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Applied research note: Predicting carcass portion weights for purebred turkey (Meleagris gallopavo) lines using a 2D imaging system by Shai Barbut, Emily M. Leishman, Ryley J. Vanderhout, Benjamin J. Wood, Christine F. Baes

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Delving into biomarkers and predictive modeling for CVD mortality: a 20-year cohort study by Zhen Wu, Abdullahi Mohamud Hilowle, Ying Zhou, Changlin Zhao, Shuo Yang

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Clinical determinants and prognostic implications of renin and aldosterone in patients with symptomatic heart failure by Masatake Kobayashi, Susan Stienen, Jozine M. terMaaten, Kenneth Dickstein, Nilesh J. Samani, Chim C. Lang, Leong L. Ng, Stefan D. Anker, Macro Metra, Gregoire Preud'homme, Kevin Duarte, Zohra Lamiral, Nicolas Girerd, Patrick Rossignol, Dirk J. vanVeldhuisen, Adriaan A. Voors, Faiez Zannad, João Pedro Ferreira

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Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management by Saul Langarica, Diego de la Vega, Nawel Cariman, Martin Miranda, David C. Andrade, Felipe Nunez, Maria Rodriguez-Fernandez

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The association of origin and environmental conditions with performance in professional IRONMAN triathletes by Beat Knechtle, Mabliny Thuany, David Valero, Elias Villiger, Pantelis T. Nikolaidis, Marilia S. Andrade, Ivan Cuk, Thomas Rosemann, Katja Weiss

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Exploring the relationship between Total Athleticism score and CrossFit® Open Performance in amateur athletes: single measure involving body fat percentage, aerobic capacity, muscl... by Ramires Alsamir Tibana, Fábio Hech Dominski, Alexandro Andrade, Nuno Manuel Frade de Sousa, Fabricio Azevedo Voltarelli, Ivo Vieira de Sousa Neto

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Enhancing Sentiment Analysis and Rating Prediction Using the Review Text Granularity (RTG) Model by Rajesh Garapati, Manomita Chakraborty

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Comprehensive Sepsis Risk Prediction in Leukemia Using a Random Forest Model and Restricted Cubic Spline Analysis by Kou Y, Tian Y, Ha Y, Wang S, Sun X, Lv S, Luo B, Yang Y, Qin L

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Predicting construction waste in Egyptian residential projects: a robust multiple regression model approach by Mohamed KhairEldin, Ahmed Osama Daoud, Ahmed Hussein Ibrahim, Hossam M. Toma

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Development and validation of an EHR-based risk prediction model for geriatric patients undergoing urgent and emergency surgery by Edward N. Yap, Jie Huang, Joshua Chiu, Robert W. Chang, Bradley Cohn, Judith C. F. Hwang, Mary Reed

Subjects: “…Risk prediction model…”
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Changing trends in lung cancer disease burden between China and Australia from 1990 to 2019 and its predictions by Dan Zhao, Haijun Mu, Ping Yu, Chao Deng

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Artificial intelligence based prediction and multi-objective RSM optimization of tectona grandis biodiesel with Elaeocarpus Ganitrus by V Vinoth Kannan, Bhavesh Kanabar, J Gowrishankar, Ali Khatibi., Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Pushparaj Thomai, Jasmina Lozanović

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An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer by Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay, Nidhan K. Biswas

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Landslide hazard zonation using of model Shannon entropy(case study: Taleghan watershed) by Mehdi feyzolahpour, marziye manafi, reza khoshraftar

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Determination of the best time series model for forecasting annual rainfall of selected stations of Western Azerbaijan province by Somayeh Soltani gerdfaramarzi, Aref Saberi, Morteza Gheisouri

Subjects: “…prediction…”
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Predicting the claim amount from car insurance using multiple linear regression: a case study of Iran insurance by Reza Rasinojehdehi, Soheil Azizi

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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

Subjects: “…diabetes prediction and diagnosis, machine learning, classifiers, algorithms.…”
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Harigeeta: Cic Mechanism with Euclidean Steiner Tree for Service Latency Prediction in Delay-Sensitive Cloud Services by Rahul Kumar Sharma, Sarvpal Singh

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A Machine Learning Method to improve Supplier Delivery Appointments in Supply Chain Industries by Anitha Palakshappa, Sumana Maradithaya, Charunayana V

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