Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges by Yang Ye, Abhishek Pandey, Carolyn Bawden, Dewan Md. Sumsuzzman, Rimpi Rajput, Affan Shoukat, Burton H. Singer, Seyed M. Moghadas, Alison P. Galvani

“…Abstract Integrating prior epidemiological knowledge embedded within mechanistic models with the data-mining capabilities of artificial intelligence (AI) offers transformative potential for epidemiological modeling. …”
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Support Vector Machine Based on Adaptive Acceleration Particle Swarm Optimization by Mohammed Hasan Abdulameer, Siti Norul Huda Sheikh Abdullah, Zulaiha Ali Othman

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Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness by Yanyang Gao, Chi Zhang, Maojie Ye, Bo Wang

“…The technique, anchored in data mining’s support index, pioneers the concept of meteorological responsiveness, which includes the elucidation of its mechanisms and the development of computational methodologies. …”
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A Novel Mathematical Approach to Define the Genes/SNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Gra... by Massimo Buscema, Silvana Penco, Enzo Grossi

“…In this pilot case-control study single nucleotide polymorphism (SNP) in several genes has been evaluated with a novel data mining approach based on an AutoCM. We have divided the ALS dataset into two dataset: Cases and Control dataset; we have applied to each one, independently, the AutoCM algorithm. …”
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An Improved Pearson’s Correlation Proximity-Based Hierarchical Clustering for Mining Biological Association between Genes by P. M. Booma, S. Prabhakaran, R. Dhanalakshmi

“…Microarray gene expression datasets has concerned great awareness among molecular biologist, statisticians, and computer scientists. Data mining that extracts the hidden and usual information from datasets fails to identify the most significant biological associations between genes. …”
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Systematic Framework to Predict Early-Stage Liver Carcinoma Using Hybrid of Feature Selection Techniques and Regression Techniques by Marium Mehmood, Nasser Alshammari, Saad Awadh Alanazi, Fahad Ahmad

“…So, these features will be mined using data mining and soft computing techniques. These techniques give optimized results that will be helpful in disease diagnosis at an early stage. …”
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A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification by Lahbib Khrissi, Nabil El Akkad, Hassan Satori, Khalid Satori

“…Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. …”
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Welcome Note by Faisal Masud Faisal Masud

“…Fast-changing paradigms of each sub-specialty of Medicine, the ever-increasing role of Artificial-Intelligence (AI), the importance of data mining, and complex misinformation (infodemic) call for a further refined approach to curriculum. …”
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Modeling the Smart Factory Manufacturing Products Characteristics: The Perspective of Energy Consumption by A.B.M. Salman Rahman, Myeongbae Lee, Jonghyun Lim, Yongyun Cho, Changsun Shin

“…Next, we use the moving average approach to calculate the monthly and weekly moving averages of energy usages. The use of data-mining techniques to estimate energy consumption rates based on production is increasingly prevalent. …”
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Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data by Haidar Khalid Malik, Nashaat Jasim Al-Anber, Fuad AbdoEsmail Al- Mekhlafi

“…The importance of Dimensionality Reduction technology lies in several fields, including “data processing, patterns recognition, machine learning, and data mining”. This paper compares two essential methods of dimensionality reduction, Feature Extraction and Feature Selection Which Machine Learning models frequently employ. …”
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Comparison of the Visibility Grading Forecast Method Based on Meteorological Factors and Environmental Factors by Yanyan Long, Fei Li, Wenjun Sang

“…The main visibility forecast factors were identified with the support of data from routine meteorological observations from the Mianyang Airport and the Mianyang Environmental Monitoring Station from 2015 to 2018, and a visibility grading forecast model was established and tested by dint of the multiple linear regression and the KNN algorithm based on big data mining technology, and the variation characteristics of visibility in winter at the Mianyang Airport were studied. …”
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Recognition of Functional Areas Based on Call Detail Records and Point of Interest Data by Guang Yuan, Yanyan Chen, Lishan Sun, Jianhui Lai, Tongfei Li, Zhuo Liu

“…With the recent emergence of big data, there has been significant progress in the study of big data mining and rapid developments in urban computing. …”
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The extension of the largest generalized-eigenvalue based distance metric ) in arbitrary feature spaces to classify composite data points by Mosaab Daoud

“…Analyzing patterns in data points embedded in linear and non-linear feature spaces is considered as one of the common research problems among different research areas, for example: data mining, machine learning, pattern recognition, and multivariate analysis. …”
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Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach by Panying Rong, Yana Yunusova, Jun Wang, Jordan R. Green

“…To develop a predictive model of speech loss in persons with amyotrophic lateral sclerosis (ALS) based on measures of respiratory, phonatory, articulatory, and resonatory functions that were selected using a data-mining approach. Method. Physiologic speech subsystem (respiratory, phonatory, articulatory, and resonatory) functions were evaluated longitudinally in 66 individuals with ALS using multiple instrumentation approaches including acoustic, aerodynamic, nasometeric, and kinematic. …”
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Role of PPARG in Chemosensitivity-Regulating Network for Hypopharyngeal Squamous Cell Carcinoma by Fanyong Kong, Boxuan Han, Jiaming Chen, Xixi Shen, Lizhen Hou, Jugao Fang, Meng Lian

“…Here, we first employed RNA expression data analysis and literature data mining to uncover candidate genes related to HSCC chemosensitivity. …”
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An Incremental Kernel Density Estimator for Data Stream Computation by Yulin He, Jie Jiang, Dexin Dai, Klohoun Fabrice

“…Probability density function (p.d.f.) estimation plays a very important role in the field of data mining. Kernel density estimator (KDE) is the mostly used technology to estimate the unknown p.d.f. for the given dataset. …”
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Evolutionary Modeling to Evaluate the Shear Behavior of Circular Reinforced Concrete Columns by Alessandra Fiore, Giuseppe Carlo Marano, Daniele Laucelli, Pietro Monaco

“…The adopted technique is an evolutionary data mining methodology that generates a transparent and structured representation of the behavior of a system directly from experimental data. …”
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Instrumental intelligent platforms for criminal analysis by V. M. Strukov, Y. V. Gnusov, Y. V. Gnusov

“…The aim of the work is a comparative analysis of the most well-known foreign and domestic intelligent data mining platforms for criminal analysis. The relevance of this work is due to the peculiarities of the Fourth Industrial Revolution, the processes of which are rapidly unfolding at the present stage and have a critical impact on all areas, including law enforcement. …”
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Suppressing the Endogenous Negative Influence Through Node Intervention in Social Networks by Satoshi Furutani, Tatsuhiro Aoshima, Toshiki Shibahara, Mitsuaki Akiyama, Masaki Aida

“…In the past two decades, for efficient viral marketing, many studies on maximizing advertising reach, known as influence maximization, have been conducted in the field of data mining. However, most of them ignore the possibility of the emergence of negative opinions in the information diffusion process. …”
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Analysis of postmarketing neuropsychiatric adverse events of avapritinib based on the FDA adverse event reporting system by Wei Mao, Junyan Jiang, Yanping Xia, Lin Zhang

“…We evaluated the signals of avapritinib-related neuropsychiatric AEs by data mining using the FDA Adverse Event Reporting System (FAERS). …”
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