Liver fibrosis progression analyzed with AI predicts renal decline by Dan-Qin Sun, Jia-Qi Shen, Xiao-Fei Tong, Ya-Yun Ren, Hai-Yang Yuan, Yang-Yang Li, Xin-Lei Wang, Sui-Dan Chen, Pei-Wu Zhu, Xiao-Dong Wang, Christopher D. Byrne, Giovanni Targher, Lai Wei, Vincent W.S. Wong, Dean Tai, Arun J. Sanyal, Hong You, Ming-Hua Zheng

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Analyzing the Application of Machine Learning in Anemia Prediction by Li Yuxi

“…Machine learning techniques provide innovative solutions by analyzing complex datasets that incorporate questionnaire, clinical features, demographic information, and laboratory results, thereby enhancing the accuracy of anemia predictions. …”
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Analyzing Predictive Indicators of Fever and Sepsis after Percutaneous Nephrolithotomy by Gautam Zalavadiya, S Santhosh, Lata Ajay Tapnikar, Nikhil Ramesh Vaidya, Vivek Amritbhai Patel, Nilam V. Patel

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A robust and statistical analyzed predictive model for drug toxicity using machine learning by Deepak Rawat, Rohit Bajaj, Rachit Manchanda, Ankush Mehta, Prabhu Paramasivam, Suraj Kumar Bhagat, Abinet Gosaye Ayanie

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Software pipeline for predicting and analyzing the structure of the receptor–ligand by A.S. Kozlova, A.R. Mukhametgalieva, A.N. Fattakhova, N.I. Akberova

“…Such a pipeline involves a complex algorithm, from predicting the structure of the receptor to searching and analyzing the interaction of ligands with the receptor. …”
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Prediction of suicide using web based voice recordings analyzed by artificial intelligence by Agnieszka Ewa Krautz, Julia Volkening, Janik Raue, Christian Otte, Simon B. Eickhoff, Eike Ahlers, Jörg Langner

“…In this study, we utilized ML in a case-control design, we predicted completed suicides using publicly available, web-based, real-world voice data, and treating speech as a biomarker. …”
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Analyzing Financial Stability by Predicting Bankruptcy Situations with Machine Learning by Mohd Naved, Ravi Kumar, Shaiku Saheb

“…Machine learning (ML) may help in bankruptcy prediction by analyzing massive quantities of historical financial data, identifying trends and anomalies that indicate trouble, and developing predictive models to estimate the possibility of default. …”
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Using New Technologies to Analyze Gut Microbiota and Predict Cancer Risk by Mohammad Amin Hemmati, Marzieh Monemi, Shima Asli, Sina Mohammadi, Behina Foroozanmehr, Dariush Haghmorad, Valentyn Oksenych, Majid Eslami

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MTFAP: a comprehensive platform for predicting and analyzing master transcription factors by Jianyuan Zhou, Haojie Yu, Chunhui Lou, Min Yang, Yanshang Li, Qian Yang, Shuhan Li, Chunwang Ji, Song Li, Shuang Wang, Haotian Cao, Xuecang Li, Lian Liu

“…Therefore, we developed a master transcription factors prediction and analysis web resource (MTFAP). MTFAP is a comprehensive web tool designed to predict and analyze MTFs with different data types. …”
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Prediction of bronchopulmonary dysplasia course in children by analyzing clinico-biochemical indicators by L. M. Chernenko

“…The aim of the work is to improve the prediction of bronchopulmonary dysplasia course in children by analyzing the relationships between clinical and biochemical indicators and determine the risk factors for an unfavorable course of the disease. …”
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The influence of obesity on IOS parameters in asthma, COPD, and other lung diseases: analyzed by random forest by Thomas Ringbaek, Lars Froelund, Jann Mortensen, Henrik H. El Ali

“…Methods We retrospectively analyzed IOS data from 1,947 patients referred to a secondary care allergy and lung clinic. …”
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Analyzing Random Forest’s Predictive Capability for Type 1 Diabetes Progression by Niels F. Cleymans, Mark Van De Casteele, Julie Vandewalle, Aster K. Desouter, Frans K. Gorus, Kurt Barbe

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Intermittency in fluid and magnetohydrodynamics (MHD) turbulence analyzed through the prism of moment scaling predictions of multifractal models by A. Pouquet, A. Pouquet, R. Marino, H. Politano, Y. Ponty, D. Rosenberg

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Separate aneurysmal neck is essential for analyzing hemodynamics and predicting instability of intracranial aneurysms by Yudi Tang, Haining Wei, Zihao Zhang, Mingzhu Fu, Junqiang Feng, Zhixin Li, Xinke Liu, Yue Wu, Jinyuan Zhang, Ting Chen, Wei You, Rong Xue, Aihua Liu, Yan Zhuo, Yuhua Jiang, Youxiang Li, Rui Li, Peng Liu

“…Regional hemodynamic assessment of the neck provides a novel approach for improving rupture risk prediction.…”
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Analyzing click data with AI: implications for student performance prediction and learning assessment by Mahdi-Reza Borna, Hanan Saadat, Aref Tavassoli Hojjati, Elham Akbari

“…However, challenges remain in accurately predicting high achievers and identifying students at risk due to limitations in traditional assessment models. …”
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PREDICTING AND ANALYZING OF TURKISH SUGAR PRICE WITH ARCH, GARCH, EGARCH AND ARIMA METHODS by Mehmet Arif ŞAHİNLİ

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Predicting and analyzing ferry transit delays using open data and machine learning by Malek Sarhani, Abtin Nourmohammadzadeh, Stefan Voß, Mohammed EL Amrani

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Artificial intelligence-based predictive modeling for imaging neutral particle analyzers on the DIII-D tokamak by Alvin Garcia, Sydney Liu, Xiaodi Du, Max Curie, Azarakhsh Jalalvand, Peter Steiner, Egemen Kolemen

“…The Imaging Neutral Particle Analyzer (INPA) at DIII-D is a diagnostic system used to accurately resolve the energy and spatial distributions of fast ions in fusion plasmas. …”
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Predictive models based on machine learning to analyze the adoption of digital payments in Latin America and the Caribbean by Jiang Wagner Mamani Lopez, Antonio Víctor Morales Gonzales, Pedro Pablo Chambi Condori

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Unveiling Recurrence Patterns: Analyzing Predictive Risk Factors for Breast Cancer Recurrence after Surgery by Monireh Shahmoradi, Ahmad Fazilat, Mostafa Ghaderi-Zefrehei, Arash Ardalan, Ali Bigdeli, Nahid Nafissi, Ebrahim Babaei, Mahsa Rahmani

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