Promising algorithms to perilous applications: a systematic review of risk stratification tools for predicting healthcare utilisation by Hutan Ashrafian, Jessica Morley, Joe Zhang, Christopher Oddy

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PREDICTION INDONESIA COMPOSITE INDEX USING INTEGRATION DECOMPOSITION- NEURAL NETWORK ENSEMBLE DURING VUCA ERA by Imelda Saluza, Ensiwi Munarsih, Faradillah Faradillah, Leriza Desitama Anggraini

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Predicting IDH and 1p/19q molecular status of gliomas with multi-b values DWI by Shanshan Zhao, Peipei Wang, Eryuan Gao, Mengzhu Wang, Guang Yang, Shouhui Niu, Mengjiao Pan, Kai Zhao, Jingliang Cheng, Xiaoyue Ma

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The predictive value of conventional MRI combined with radiomics in the immediate ablation rate of HIFU treatment for uterine fibroids by Chao Wei, Naiyu Li, Bin Shi, Chuanbin Wang, Yaoyuan Wu, Tingting Lin, Yulan Chen, Yaqiong Ge, Yongqiang Yu, Jiangning Dong

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Automated machine learning for predicting perioperative ischemia stroke in endovascularly treated ruptured intracranial aneurysm patients by Yuhang Peng, Ke Bi, Xiaolin Zhang, Ning Huang, Xiang Ji, Weifu Chen, Ying Ma, Yuan Cheng, Yongxiang Jiang, Jianhe Yue

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Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables by Sajjad Farashi, Hossein Emad Momtaz

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Predicting deep infection in pilon and tibial plateau fractures: a secondary analysis of the VANCO and OXYGEN trials by Archie L. Overmann, MD, Anthony R. Carlini, MS, Robert V. O'Toole, MD, Renan C. Castillo, PhD, Nathan N. O'Hara, PhD, MHA, METRC, Eben A. Carroll, MD, James Brett Goodman, MBA, Martha B. Holden, , AAS, AA, Anna N. Miller, MD, Amanda Spraggs-Hughes, PhD, Michael L. Brennan, MD, Paul Tornetta, III, MD, Patrick M. Osborn, MD, Jessica C. Rivera, MD, PhD, Clinton K. Murray, MD, Joseph E. Kimmel, MS, Michael J. Bosse, MD, Joseph R. Hsu, MD, Madhav A. Karunakar, MD, Laurence B. Kempton, MD, Rachel B. Seymour, PhD, Stephen H. Sims, MD, Christine Churchill, MA, Debra L. Sietsema, PhD, RN, Ida Leah Gitajn, MD, MS, Rachel M. Reilly, MD, Robert D. Zura, MD, Cameron Howes, BA, Hassan Mir, MD, MBA, Michael J. Weaver, MD, Marilyn Heng, MD, MPH, Thuan V. Ly, MD, Emily A. Wagstrom, MD, Jerald R. Westberg, MPH, BA, Brian H. Mullis, MD, Jeffrey O. Anglen, MD, Leilani S. Mullis, MD, Karl D. Shively, MD, Todd O. McKinley, MD, Roman M. Natoli, MD, PhD, Anthony Sorkin, MD, Lauren C. Hill, BS, CCRC, Robert A. Hymes, MD, Greg E. Gaski, MD, A. Stephen Malekzadeh, MD, Lolita Ramsey, PhD, RN, Jeff E. Schulman, MD, Cary C. Schwartzbach, MD, Robert A. Sikorski, MD, Olivia C. Lee, MD, Peter C. Krause, MD, Joshua L. Gary, MD, Timothy S. Achor, MD, Andrew Choo, MD, John W. Munz, MD, Sterling J. Boutte, BS, Matthew C. Galpin, CCRC, H. Michael Frisch, MD, Adam M. Kaufman, MD, C. Michael LeCroy, MD, Christopher S. Smith, MD, Alec C. Stall, MD, MPH, Andrea Horne, MA, CCRP, Robert V. O'Toole, MD, Manjari Joshi, MBBS, Jason W. Nascone, MD, Nathan N. O'Hara, PhD, MHA, Marcus F. Sciadini, MD, Gerard P. Slobogean, MD, Andrea L. Howe, BS, Roman Hayda, MD, Andrew R. Evans, MD, Stanislaw P. Stawicki, MD, MBA, Thomas R. Wojda, MD, MBA, Michael J. Gardner, MD, Julius A. Bishop, MD, Saqib Rehman, MD, MBA, Cyrus Caroom, MD, Elizabeth Sheridan, MPH, MACPR, Theodore Miclau, MD, Saam Morshed, MD, PhD, Thomas F. Higgins, MD, Justin M. Haller, MD, Clay A. Spitler, MD, Massimo Max Morandi, MD, FACS, Paul Edward Matuszewski, MD, Arun Aneja, MD, PhD, Patrick F. Bergin, MD, Eldrin Bhanat, MD, MPH, Matt L. Graves, MD, John Morellato, MBBS Hons, David Teague, MD, William Ertl, MD, Jaimo Ahn, MD, PhD, Gele B. Moloney, MD, John C. Weinlein, MD, Boris A. Zelle, MD, Animesh Agarwal, MD, Ravi A. Karia, MD, Ashoke Sathy, MD, Drew Sanders, MD, MPH, David B. Weiss, MD, Seth R. Yarboro, MD, Veronica Lester-Ballard, MSN, Eric D. McVey, MEd, CCRP, Reza Firoozabadi, MD, MA, Arman Dagal, MD, FRCA, Conor P. Kleweno, MD, Julie Agel, MA, Paul S. Whiting, MD, Natasha M. Simske, BS, Alexander B. Siy, BS, William T. Obremskey, MD, MPH, Basem Attum, MD, Eduardo J. Burgos, MD, Vamshi Gajari, MBBS, A. Alex Jahangir, MD, Andres Rodriguez-Buitrago, MD, Manish Sethi, MD, Daniel J. Stinner, MD, PhD, Rajesh R. Tummuru, MBBS, MBA, Karen M. Trochez, MA, BS, Jean-Claude G. D'Alleyrand, MD, MSE, Lauren E. Allen, DrPH, Anthony R. Carlini, MS, Susan C. Collins, MSc, Yanjie Huang, ScM, Tara J. Taylor, MPH

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Bladder Cancer Tissue-Based Biomarkers by Francesco Soria, Marta Sanchez-Carbayo, Natalya Benderska-Söder , Bernd J Schmidz-Dräger, Stefania Zamboni, Marco Moschini, Anirban P Mitra, Yair Lotan

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Predicting Environmental Risks: Using Water Balances for Sustainable Power at Kusile Power Station (south Africa) by Amelia Meyer, Hendrik G. Brink

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The global prevalence of complete hearing loss in 204 countries and territories from 1992 to 2021: a systematic analysis for the global burden of disease study 2021 by Guan-Jiang Huang, Zhi-Jun Fan, Biao-Qing Lu

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Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

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Evaluating the potential of phenotypic age to enhance cardiovascular risk prediction over chronological age in the UK Biobank by Kristine J. S. Kwan, Shi-Shuai Xie, Hai-Lei Li, Xue-Guang Lin, Yi-Jie Lu, Bo Chen, Kai-Xin Ge, Shu-Ya Tang, Hui Zhang, Shuai Jiang, Jing-Dong Tang

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Lateral Walking Gait Recognition and Hip Angle Prediction Using a Dual-Task Learning Framework by Mingxiang Luo, Meng Yin, Jinke Li, Ying Li, Worawarit Kobsiriphat, Hongliu Yu, Tiantian Xu, Xinyu Wu, Wujing Cao

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The landscape in telomere related gene prognostic signature for survival and medication treatment effectiveness prediction in hepatocellular carcinoma by Kai Zhou, Xingyu Liu, Mingda Wang, Jinjiang Duan, Xu Zhao, Hanjun Yin

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Application of machine learning algorithms and SHAP explanations to predict fertility preference among reproductive women in Somalia by Jamilu Sani, Salad Halane, Abdiwali Mohamed Ahmed, Mohamed Mustaf Ahmed

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Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods by Peng Zhang, Bifan Zhu, Xing Chen, Linan Wang

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Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndrome by Yaxuan He, Zekai Chen, Zhaohui Tang, Yuexiang Qin, Fang Wang

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Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

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Predictive value of HBeAg titer dynamics for HBsAg clearance in pediatric chronic hepatitis B by Sukjin Hong, Jun Hyun Hwang, Keumoung Kim, Younghae Do, Naeun Kwak, Hyo Rim Suh, Sujin Choi, Ben Kang, Byung-Ho Choe

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DeepDeconUQ estimates malignant cell fraction prediction intervals in bulk RNA-seq tissue. by Jiawei Huang, Yuxuan Du, Kevin R Kelly, Jinchi Lv, Yingying Fan, Jiang F Zhong, Fengzhu Sun

“…This study introduces DeepDeconUQ, a deep neural network model developed to estimate prediction intervals for malignant cell fractions based on bulk RNA-seq data. …”
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