Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools by Sunil Kumar, Maninder Singh

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Nutritional and medicinal characteristics of Chinese giant salamander (Andrias davidianus) for applications in healthcare industry by artificial cultivation: A review by Dong He, Wenming Zhu, Wen Zeng, Jun Lin, Yang Ji, Yi Wang, Chong Zhang, Yuan Lu, Daoquan Zhao, Nan Su, Xin-Hui Xing

“…This paper will further discuss the potential applications of the artificially cultivated CGS in healthcare industry and prospects of future technological development. …”
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Enhancing identity and access management using Hyperledger Fabric and OAuth 2.0: A block-chain-based approach for security and scalability for healthcare industry by Shrabani Sutradhar, Sunil Karforma, Rajesh Bose, Sandip Roy, Sonia Djebali, Debnath Bhattacharyya

“…Block-chain-based Identity and access management framework is a promising solution to privacy and security issues raised during the exchange of patient data in the healthcare industry. This technology ensures the confidentiality and integrity of sensitive information by providing a decentralized and immutable ledger. …”
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A System of Remote Patients’ Monitoring and Alerting Using the Machine Learning Technique by M. Dhinakaran, Khongdet Phasinam, Joel Alanya-Beltran, Kingshuk Srivastava, D. Vijendra Babu, Sitesh Kumar Singh

“…Machine learning is utilized in various areas, but mainly in the healthcare industry, where it provides significant advantages via appropriate decision and prediction methods. …”
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MODERN TRENDS OF DEVELOPMENT OF THE CONSULTING SERVICES MARKET by V. Zhukov

“…The tendencies of development of the world market of consulting services are revealed: attraction of various consultants; fight for qualified personnel; introduction of modern information technologies; orientation on the healthcare industry; formation of new models of counseling.…”
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Predicting Patients’ Revisit Intention Based on Satisfaction Scores: Combination of Penalized Regression and Neural Networks by Farshid Abdi, Shaghayegh Abolmakarem, Amir Karbassi Yazdi, Paul Leger, Yong Tan, Giuliani Coluccio

“…By integrating AI approaches and thoroughly examining satisfaction ratings in the Iranian healthcare industry, this research makes a significant contribution. …”
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Does privatization decrease the structural efficiency in the Chinese hospital sector? by Xinju He, Yi Liu

“…We use structural efficiency to measure the resource mismatch in the healthcare industry (0.2–0.7). We find that an increase in the proportion of private hospitals decreases the healthcare resource mismatch across provincial regions. …”
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Blockchain Technology Applications in Healthcare Supply Chains—A Review by Sarthak Dhingra, Rakesh Raut, Koteswararao Naik, Kamalakanta Muduli

“…Furthermore, blockchain can provide answers to the issues in the healthcare industry today. Blockchain’s features like security, traceability, transparency, cost efficiency etc. can help bring supply chain transparency, health record management and prevent drug counterfeiting. …”
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Menggali Potensi ChatGPT pada Peran Tenaga Kesehatan by Rian Yuliyana, Rinaldi Daswito

“…However, it is crucial to carefully assess its application in the healthcare industry in the upcoming years, taking into account the need for equilibrium.…”
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Application of machine learning in diabetes prediction based on electronic health record data analysis by Yang Zihan

“…With the application of electronic health records (EHRs) in the medical field, the use of machine learning to predict disease has become one of the important research hotspots in the healthcare industry. This study introduces an improved machine learning model specifically designed to predict diabetes risk, with the aim of improving the accuracy of predictions. …”
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Enhancing Medical Diagnostics with Machine Learning: A Study on Ensemble Methods and Transfer Learning by Zhang Jiaming

“…The research holds practical value since it can improve patient care and productivity within the healthcare industry. By integrating these ML techniques, the study contributes valuable insights into improving diagnostic processes and optimizing patient outcomes.…”
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Healthcare Marketing Evolution: A Comprehensive Exploration of New-Age Strategies and Patient-Centric Paradigms by Hafize Nurgül Durmuş Şenyapar

“…The study’s conclusions demonstrate the revolutionary potential of modern marketing techniques in the healthcare industry. Enhancing patient involvement, establishing credibility, and improving patient outcomes are all possible for healthcare professionals by adopting digital innovation, personalization, and patient-centric approaches. …”
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Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence by Lesia Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad

“…Thus, the proposed method is innovative and can potentially improve forecasting systems in the healthcare industry.…”
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Agent-Oriented Privacy-Based Information Brokering Architecture for Healthcare Environments by Abdulmutalib Masaud-Wahaishi, Hamada Ghenniwa

“…Healthcare industry is facing a major reform at all levels—locally, regionally, nationally, and internationally. …”
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Methane detection approach based on THz wave absorber by Alireza Barati Haghverdi, Ilghar Rezaei, Amir Ali Mohammad Khani, Toktam Aghaee

“…Based on the findings, the proposed detector is highly appropriate for gas detection, specifically for the healthcare industry due to using Kapton which makes it flexible and wearable.…”
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Educational data mining in medical education: A five-level approach by Zohreh Khoshgoftar, Maryam Babaee, Arian K. Rouzbahani, Masomeh Kalantarion

“…The healthcare industry in each country has one of the most important and sophisticated educational systems that produces and stores a large amount of educational data daily. …”
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Bioactive component integrated textiles: A promising source of medicine and healthcare by Joyjit Ghosh, Md. Reazuddin Repon, Arnob Dhar Pranta, Nishat Sarmin Rupanty, Faizunnessa Khan, Tasneem Noor

“…The healthcare industry can greatly benefit from natural colorants as bioactive component integrated textiles. …”
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Dense-ShuffleGCANet: An Attention-Driven Deep Learning Approach for Diabetic Foot Ulcer Classification Using Refined Spatio-Dimensional Features by Armaano Ajay, Akshaj Singh Bisht, R. Karthik

“…Deep learning provides an efficient solution to the challenge by automating the process of DFU detection, thereby alleviating the burden on the healthcare industry. This research introduces a novel model, Dense-ShuffleGCANet, for DFU detection by leveraging DenseNet-169, Channel-Centric Depth-wise Group Shuffle (CCDGS) block, and triplet attention. …”
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Mushroom β-glucan and polyphenol formulations as natural immunity boosters and balancers: nature of the application by Maja Kozarski, Anita Klaus, Leo van Griensven, Dragica Jakovljevic, Nina Todorovic, Wan Abd Al Qadr Imad Wan-Mohtar, Jovana Vunduk

“…Immune-balancing mushroom dietary fibers and secondary metabolites such as polyphenols are the main focus of the healthcare industry. Wellness and cosmetic companies are increasingly using mushroom extracts rich in these ingredients. …”
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