Power and predictive accuracy of polygenic risk scores. by Frank Dudbridge

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Link Predictions with Bi-Level Routing Attention by Yu Wang, Shu Xu, Zenghui Ding, Cong Liu, Xianjun Yang

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Predictive framework of vegetation resistance in channel flow by Fengcong Jia, Weijie Wang, Yu Han, Jiayu Du, Yue Zhang, Zihan Liu, Hairong Gao

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Churn prediction for SaaS company with machine learning by Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon

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Bioinformatics-based analysis of nicotinamide adenine dinucleotide metabolism-related genes to predict immune status and prognosis for head and neck squamous cell carcinoma patient... by Zhenjie Guan, Xinyu Gu, Lian Zheng

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PREDICTION OF MULTIFOCAL ATHEROSCLEROSIS IN WOMEN WITH RHEUMATOID ARTHRITIS by I. V. Osipova, Yu. N. Starodubova, О. N. Antropova

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Machine learning to predict bacteriuria in the emergency department by Johnathan M. Sheele, Ronna L. Campbell, Derick D. Jones

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Predicting hepatocellular carcinoma survival with artificial intelligence by İsmet Seven, Doğan Bayram, Hilal Arslan, Fahriye Tuğba Köş, Kübranur Gümüşlü, Selin Aktürk Esen, Mücella Şahin, Mehmet Ali Nahit Şendur, Doğan Uncu

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Protein prediction for trait mapping in diverse populations. by Ryan Schubert, Elyse Geoffroy, Isabelle Gregga, Ashley J Mulford, Francois Aguet, Kristin Ardlie, Robert Gerszten, Clary Clish, David Van Den Berg, Kent D Taylor, Peter Durda, W Craig Johnson, Elaine Cornell, Xiuqing Guo, Yongmei Liu, Russell Tracy, Matthew Conomos, Tom Blackwell, George Papanicolaou, Tuuli Lappalainen, Anna V Mikhaylova, Timothy A Thornton, Michael H Cho, Christopher R Gignoux, Leslie Lange, Ethan Lange, Stephen S Rich, Jerome I Rotter, NHLBI TOPMed Consortium, Ani Manichaikul, Hae Kyung Im, Heather E Wheeler

“…Our predictive models in diverse populations are publicly available for use in proteome mapping methods at https://doi.org/10.5281/zenodo.4837327.…”
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Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning by Li Qing, Linfeng Xu, Juehao Huang, Xiaodong Fu, Jian Chen

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Predictive Value of Thrombin Time in Early Preeclampsia by Yuting Li, Yanli Chen, Hua Shu, Xiaoyun Zhang, Peng Li, Fengge Wang, Dongmei Man

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Predicting Diabetes Mellitus with Machine Learning Techniques by Heba Ahmed Jassim, Omar R. Kadhim, Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong

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Predicting Thrombophilia in Preeclampsia: Is Universal Testing Necessary? by Ana Belén Gálvez MD, Pedro Chorão MD, Ernesto M Talegón MD, María del Carmen Gilabert MD, Amando Blanquer MD, Fernando Ferrando MD, PhD, Ana Cid MD, Antonio Moscardó MD, PhD, Saturnino Haya MD, PhD, Santiago Bonanad MD

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Outcome prediction of the measles vaccination in healthcare employees by A. A. Ereshchenko, O. A. Gusyakova, N. B. Migacheva, F. N. Gilmiyarova, A. V. Lyamin

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Do autistic individuals show atypical performance in probabilistic learning? A comparison of cue-number, predictive strength, and prediction error by Jia Hoong Ong, Lei Zhang, Fang Liu

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Testing General Relativistic Predictions with the LAGEOS Satellites by Roberto Peron

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Switching Power Amplifier and Its Improved Current Control Strategy of Active Magnetic Bearing by HE Xi, HE Yaping, LI Jia

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Modal Analysis of QP and LP Solution in Steady-state Optimization Layer of Two-layer Structure MPC by WANG Hongrui, ZHANG Xin, LIU Bowen, LIN Na, ZOU Tao

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Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

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Advanced predictive analytics for bio-waste management using YOLOv8-SPP to enhance waste prediction and sustainability in smart cities by Selvalakshmi Balasubramanium, Bharathiraja Nagu, Shonak Bansal, Mohammad Rashed Iqbal Faruque, Kholoud Saad Al-mugren

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