Mortality Predicted Accuracy for Hepatocellular Carcinoma Patients with Hepatic Resection Using Artificial Neural Network by Herng-Chia Chiu, Te-Wei Ho, King-Teh Lee, Hong-Yaw Chen, Wen-Hsien Ho

“…It is suggested that physicians consider using data mining methods as supplemental tools for clinical decision-making and prognostic evaluation.…”
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How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping by Jinhong Kim, Gamunnarbi Park, Myoungkyun Woo, Youngjung Geum

“…With the rise of data mining and predictive technologies, systematic data analytics has become popular in business practices. …”
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Exploring infodemiology: unraveling the intricate relationships among stress, headaches, migraines, and suicide through Google Trends analysis by Rapuru Rushendran, Vellapandian Chitra

“…By employing infodemiology, the study explores temporal and geographical patterns in search behavior and examines the impact of global events like the COVID-19 pandemic.MethodsData mining was conducted using Google Trends for the search terms “stress,” “headache,” “migraine,” and “suicide.” …”
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Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature by Abbas Mardani, Mehrbakhsh Nilashi, Jurgita Antucheviciene, Madjid Tavana, Romualdas Bausys, Othman Ibrahim

“…Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artificial intelligence, especially in numerous fields such as expert systems, knowledge discovery, information system, inductive reasoning, intelligent systems, data mining, pattern recognition, decision-making, and machine learning. …”
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Mid-Spine Belt of Beautiful China: future reversal of increasing vegetation greening in response to an evolving environment by Jing Fu, Baoling Su, Jianxin Qin, Yong Hu

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Exposing End-to-End Delay in Software-Defined Networking by Ting Zhang, Bin Liu

“…We disclose that SDN switches cannot completely avoid the generation of flow setup even in proactive mode and conduct data mining on the probability of flow setup. We propose an analytical model for the end-to-end delay. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…To avoid unintended results, data mining from new applications like sensors and location-based services needs to be done with care. …”
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FTO effects the proliferation, invasion, and glycolytic metabolism of colon cancer by regulating PKM2 by Kongyan Zhang, Fei Zhang, Jiahe Wang

“…Results An upregulation of FTO was observed in colon cancer through data mining and analysis of pathological specimens. …”
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Cognitive analysis and path construction of Chinese students’ mathematics cognitive process based on CDA by Xiaopeng Wu, Nanxin Li, Rongxiu Wu, Hao Liu

“…It also highlights the potential of CDA for assessing cognitive abilities and constructing in-depth data mining, advancing the understanding of students’ cognitive strengths and weaknesses in mathematics education.…”
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Generalized Design for Additive Manufacturing (DfAM) Expert System Using Compliance and Design Rules by Bader Alwoimi Aljabali, Santosh Kumar Parupelli, Salil Desai

“…A modified J48 classifier was implemented to enhance data mining accuracy by achieving a 91.25% classification performance accuracy. …”
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Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease by Sumam Francis, Fernando Crema Garcia, Kanimozhi Uma, Willem Mestdagh, Bart De Moor, Marie-Francine Moens

“…Extracting valuable information from unstructured clinical text presents a significant challenge, necessitating automated tools for efficient data mining. Natural language processing (NLP) methods have been pivotal in this endeavor, aiming to extract crucial clinical concepts embedded within free-form text. …”
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Explainable unsupervised anomaly detection for healthcare insurance data by Hannes De Meulemeester, Frank De Smet, Johan van Dorst, Elise Derroitte, Bart De Moor

“…With the advent of big data, these insurers are looking more and more towards data mining and machine learning methods to help in detecting waste and fraud. …”
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Research on multiple enhanced k combination reverse Skyline query method by Song Li, Xinyuan Zhang, Liping Zhang

“…It has been widely applied in business decision-making, recommendation systems, location-based services, knowledge discovery, and data mining. However, existing reverse Skyline queries mainly focus on single-point queries, overlooking multi-point combination queries. …”
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Online medical privacy protection strategy under information value-added mechanism by Shengzhi MING, Jianming ZHU, Zhiyuan SUI, Xian ZHANG

“…China’s economic level and people’s living standards have developed rapidly in recent years, and the medical level and medical technology have made breakthroughs continuously.With the promotion and deepening of“Internet Plus” to business model innovation in various fields, the development of “Internet Plus” medical has been rapidly developed.Due to the continuous development of data processing technologies such as machine learning and data mining, the risk of users’ personal medical data disclosure in the process of online medical treatment has also attracted the attention of researchers.Considering the deductibility of information, the discount mechanism was adopted to describe the change of user’s private information value in different stages of the game.Combined with the current research status in the field of online medical privacy protection motivation, how to mobilize the enthusiasm of both players from the level of privacy protection motivation was explored with game analysis.In view of the game characteristics of users’ strong willingness to continually use the online medical platform and intermittently provide privacy, the repeated game method was adopted to better describe the game process between users and the online medical platform.The tendency change law of the players on both sides of the game was obtained.Moreover, the Nash equilibrium of the game model was analyzed under different model parameters and the change trend of the game strategy of both sides with the progress of the game stage.When the parameters were met 2(c_p-c_n)≥l_p(p_n-p_p), the user started to choose from “agree to share private data” to “refuse to share private data”.The above conclusion was verified by simulation experiments.Based on the above conclusions, from the perspective of online medical platform and users, policy suggestions on how to realize privacy protection from the level of privacy protection motivation in the process of online medical treatment were given.…”
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Correlation-based feature selection of single cell transcriptomics data from multiple sources by Nenad S. Mitić, Saša N. Malkov, Mirjana M. Maljković Ružičić, Aleksandar N. Veljković, Ivan Lj. Čukić, Xin Lin, Minjie Lyu, Vladimir Brusić

“…Abstract When applying data mining or machine learning techniques to large and diverse datasets, it is often necessary to construct descriptive and predictive models. …”
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Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

“…It delves into the notable benefits and challenges encountered in advancing data analytics of the early 21st century.In many countries, Post-marketing surveillance of drug safety relinquishes on a systematic analysis of spontaneous using Generative artificial intelligence (AI) to overcome gaps in the present PV ecosystem is critical to maintaining an uninterrupted record of security and effectiveness within healthcare analytics, data mining techniques, predictive analytics, and the emergence of scientific fields like bioinformatics and health informatics are empowered by Big Data. …”
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Utilizing MRAMs With Low Resistance and Limited Dynamic Range for Efficient MAC Accelerator by Sateesh, Kaustubh Chakarwar, Shubham Sahay

“…The recent advancements in data mining, machine learning algorithms and cognitive systems have necessitated the development of neuromorphic processing engines which may enable resource and computationally intensive applications on the internet-of-Things (IoT) edge devices with unprecedented energy efficiency. …”
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An Automatic Extraction Method of Coach Operation Information from Historical Trajectory Data by Jun Li, Qingqi Li, Yan Zhu, Yan Ma, Yubin Xu, Chao Xie

“…The proposed method makes use of data mining techniques to extract coach operation information from big trajectory data and saves a lot of labor work, time, and economic cost required by on-site investigation.…”
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Jean-Baptiste Camps, La Chanson d’Otinel. Édition complète du corpus manuscrit et prolégomènes à l’édition critique by Jean-Baptiste Camps

“…The edition aims also at the study and description of the links between these witnesses, by suggesting a method of representation of textual variance and by rooting genealogical analysis in a global consideration of the tradition, including medieval translations (in Welsh, Norse, English) and derived versions.The modelling and description of manuscripts and their texts – formalised by an xml/tei model conceived for this edition but seeking to be of more general interest – is clearly oriented towards data mining, and computational as well as traditional analysis (Palaeography, Scriptometry, Stemmatology). …”
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Clustering Cu-S based compounds using periodic table representation and compositional Wasserstein distance by Shuyan Hao, Ting Xia, Ruizhi Zhang, Meng Guo

“…Abstract Crystal structure similarity is useful for the chemical analysis of nowadays big materials databases and data mining new materials. Here we propose to use two-dimensional Wasserstein distance (earth mover’s distance) to measure the compositional similarity between different compounds, based on the periodic table representation of compositions. …”
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