The evolving landscape: Role of artificial intelligence in cancer detection by Praveen Kumar, Sakshi V. Izankar, Induni N. Weerarathna, David Raymond, Prateek Verma

“…Additionally, the discussion encompassed clinical decision support systems, explaining their utility in aiding healthcare professionals with evidence-based insights for more informed decision-making in cancer detection and management. Finally, the review addressed the challenges and future directions in the integration of AI into cancer detection practices, highlighting the need for continued research and development to overcome existing limitations and realize the full potential of AI-driven solutions in combating cancer.…”
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Exploring the mechanisms by which common inhalational anesthetics influence malignant tumor metastasis: A data mining study based on comparative toxicogenomic databases by Yiyu Chen, Wenlan Ouyang, Hu Lv, Wei Chen

“…These findings offer new insights for future in vivo or in vitro studies and contribute to a better understanding of the relationship between inhalational anesthetics and tumor metastasis, providing valuable reference points for clinical decision-making. The results of this study also provide a reference for the determination of subsequent clinical treatment targets. …”
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Women's experiences and outcomes of abortion care in sub-Saharan countries: A mixed methods systematic review protocol. by Negash Wakgari, Gizachew A Tessema, Stuart J Watson, Delayehu Bekele, Zoe Bradfield

“…<h4>Introduction</h4>Abortion care experiences encompass various aspects, including women's decision-making capability, physical and emotional experiences, service provision, and post-abortion experiences. …”
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MARKETING EVOLUTION: FROM TRADITIONAL TO WEB 3.0 by Andriy Melnyk

“…Marketers must be equipped to interact with tech-savvy consumers and hybrid AI-based decision-making systems to foster trust and improve the customer experience. …”
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Coronavirus Pandemic Analysis Through Tripartite Graph Clustering in Online Social Networks by Xueting Liao, Danyang Zheng, Xiaojun Cao

“…The extensive experiments show that our TGC-PDA framework can effectively and efficiently identify the topics and correlations within the Twitter data for monitoring and understanding public opinions, which would provide policy makers useful information and statistics for decision making.…”
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Heterogeneity and Emotional Perceptions of the Labelling of Accommodation Services in Tourism

“…The labelling of tourism accommodation services profoundly influences consumer behaviour and decision-making processes. Many consumers view labelling as a subjective assurance of the quality of services provided and are willing to pay a premium on the basis of the level of quality indicated by these labels. …”
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A New Innovative Approach with Revised Pythagorean Fuzzy SWARA in Assessing of Soil Erodibility Factor by Barış Özkan, Aykut Çağlar, Orhan Dengiz

“…Consequently, the method developed here suggests that fuzzy multi-criteria decision-making methods can be an alternative approach for determining the soil erodibility factor.…”
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Perceptions and expectations of parents regarding their position in a French NICU: quantitative and qualitative approaches by Véronique Thébaud, Jacques Sizun, Magdalini Dargentas

“…In both studies, however, they expressed that they had expected to be better informed about their child’s condition and more involved in medical decision-making. Parents also reported relational issues with some healthcare practitioners who made them feel judged, unheard or not competent to discuss their child’s case. …”
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Dynamics of Herding Behavior in Cryptocurrency Markets Amid Market Crashes by Muhammed Aslam Chelery Komath, Ozlem Sayılır, Bakhtiyar Garayev, Patrice Racine Dıallo

“…Hence, our findings imply rational investment decision-making. Yet, the results indicate that the largest cryptocurrencies are wielding a substantial influence over the rest of the market across the overall period and in the Post Covid Period (Period 2) in both up and down markets. …”
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Optimizing the Management and Outcomes of Failed Back Surgery Syndrome: A Consensus Statement on Definition and Outlines for Patient Assessment by Philippe Rigoard, Kliment Gatzinsky, Jean-Philippe Deneuville, Wim Duyvendak, Nicolas Naiditch, Jean-Pierre Van Buyten, Sam Eldabe

“…Concise recommendations for assessment, treatment, and outcome evaluation using a MDT approach would be an important resource for specialists and nonspecialist clinicians who manage patients with FBSS, to improve decision-making, reduce variation in practice, and optimize treatment outcomes in this difficult-to-treat population.…”
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Use of volunteers in early years interventions for parents: A scoping review of roles and the extent of evaluation research in this area. by Louise Padgett, Sarah L Blower, Hollie Henderson, Maria Bryant

“…Further research exploring the impact on the volunteers and the organisation will support decision making around choosing a volunteer led model within early years services.…”
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Estimation of rice yield using multivariate analysis techniques based on meteorological parameters by Ajay Sharma, Joginder Kumar, Mandeep Redhu, Parveen Kumar, Mohit Godara, Pushpa Ghiyal, Pingping Fu, Mehdi Rahimi

“…Importantly, the research highlighted that the optimum time for forecasting the rice yield is 1 month prior to the crops harvesting, offering valuable insight for agricultural planning and decision-making. This approach demonstrates the fusion of weather data and advanced statistical techniques, showcasing the potential for more precise and informed agricultural practices.…”
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Enhancing Wastewater Treatment Efficiency Using MBBR: A Media Selection Approach by Mehdi Shamsabadizadeh, Nasser Mehrdadi, Akbar Baghvand

“…The AHP-based media selection process enhances the decision-making process, ensuring that economic and performance factors are adequately considered. …”
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On the current and future potential of simulations based on directed acyclic graphs by Lutz P. Breitling, Anca D. Dragomir, Chongyang Duan, George Luta

“…Real-world data are playing an increasingly important role in regulatory decision making. Adequately addressing bias is of paramount importance in this context. …”
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Identification of specific risk factors and predictive analytics for cardio-cerebral arterial stenosis: a comparative study utilizing framingham risk stratification insights by Gege Zhang, Sijie Dong, Fanfan Feng, Weihao Kan, Taozhen Shi, Hongmei Ding, Ruiguo Dong

“…The predictive model demonstrated high accuracy, highlighting the importance of personalized medicine in clinical decision-making.…”
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Good practices for dialysis education, treatment, and eHealth: A scoping review. by Anita van Eck van der Sluijs, Sanne Vonk, Brigit C van Jaarsveld, Anna A Bonenkamp, Alferso C Abrahams

“…These good practices could be valuable in addition to guidelines for increasing shared-decision making in predialysis education, using patients' contribution in the implementation of their dialysis treatment, and advanced care planning.…”
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Problematic issues of using the toolkit of economic cybernetics by V. Persianov, A. Kurbatova

“…Agreeing, that setting limits to the possibilities of computer modeling in advance is impossible, it must be recognized, that the machines created by cybernetics, remain only an objectification – a “truncated” (incomplete) form of any kind of human activity, including management (purposing, selection of criteria, decision-making, etc.).The goal setting requires at least a normal human intelligence. …”
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A method to evaluate the performance of institutions based on data envelopment analysis method with qualitative data and emphasis on OCB by mohammad javad hossainzadeh saljughi

“…In this article, we measure the effect of the OCB quality index on the efficiency of institutions using the envelopment analysis method of ordinal data without compensatory properties.Methodology: Data coverage analysis is a powerful tool for assessing the performance of decision-making institutions based on a large number of input and output indicators, which can be quantitative or qualitative. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

“…In recent days, Internet of Medical Things (IoMT) and Deep Learning (DL) techniques are broadly used in medical data processing in decision-making. A lung tumour, one of the most dangerous medical diseases, requires early diagnosis with a higher precision rate. …”
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Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters by Long Yu, Yang Bao, Kunming Ma, Yunrui Han, Yibin Yan, Bin Xu, Zhongtao Wang, Rui Pang

“…The combination of traditional deterministic slope analysis and probabilistic assessments will be beneficial to slope engineering practice and will improve the decision-making process.…”
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