An Automated Tool for Streamlining Software Engineering: Information Extraction and Decision by Rasha Gh. Alsarraj

“…In the always-evolving and dynamic field of software development, good decision-making is absolutely critical. Developers have to regularly decide how best to apply features, optimize performance and debug issues. …”
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Perspectives of Decision Support System TeleRehab in the Management of Post-Stroke Telerehabilitation by Vitaly A. Nikolaev, Alexander A. Nikolaev

“…Stroke is the main cause of disability among adults. Decision-making in stroke rehabilitation is increasingly complex; therefore, the use of decision support systems by healthcare providers is becoming a necessity. …”
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The impact of big data analytics on digital marketing decision-making: A comprehensive analysis by Roberta Bajrami, Adelina Gashi, Kaltrina Bajraktari, Etleva Namligjiu

“…This study explores how big data analytics contributes to effective decision-making, targeting precision, and customer engagement among digital marketing professionals. …”
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Application of fuzzy logic in decision-making process for relocation of floating net cages in river fish farming by R. Pramana, B.Y. Suprapto, Z. Nawawi

“…Direct measurements of the Musi River's water quality were obtained by monitoring the water quality using an internet-based computer application. A decision-making Python program utilizing fuzzy logic was then executed to evaluate the suitability of the river water quality for fish cultivation. …”
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Sentiment Analysis of MyBCA Application User Reviews using Naive Bayes, Random Forest, and Decision Tree by Muhammad Rizky Mawandhyka Akbar, Irfan Pratama

“…The data was preprocessed using the TF-IDF weighting method and processed with Python programming language and the Scikit-Learn library. …”
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Employment of Regression-Based Decision Tools to Predict the Shear Capacity of Reinforced Concrete Beams Without Web Reinforcement by Saad Mahmood Raoof, Raed Mokhalad Radeef, Anfal Mansur Hameed, Shagea Alqawzai

“…This research enables engineers to make decisions based on reliable data. …”
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Neural network based clinical decision support system for the calculation the initial continuous subcutaneous insulin infusion settings by D. N. Laptev, D. Y. Sorokin

“…CDSS utilizing the model implemented as a computer program in Python.A prospective assessment of the agreement between the recommendations of the CDSS and the physician conducted on 35 data sets of children with T1D (median age 9.3 years [6.4, 11.5]), and 840 points for decisions were analyzed. 4 degrees of agreement were used: complete consistency, when the physicians agreed with the CDSS recommendations; partial consistency, when the physicians didn’t agree with the CDSS recommendations, but the difference was in the range of ±15%; complete inconsistency — the difference more than ±15%; acceptable consistency is the sum of full and partial consistency (± 15% error is clinically acceptable). …”
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A Radar-Based System for Detection of Human Fall Utilizing Analog Hardware Architectures of Decision Tree Model by Vassilis Alimisis, Dimitrios G. Arnaoutoglou, Emmanouil Anastasios Serlis, Argyro Kamperi, Konstantinos Metaxas, George A. Kyriacou, Paul P. Sotiriadis

“…The architectures were trained using Python and were compared to software-based classifiers. …”
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Integrating BIM with Lean Principles for Enhanced Decision-making: Optimizing Insulation Material Selection in Sustainable Construction Project by Karim El Mounla, Djaoued Beladjine, Karim Beddiar

“…A decision-support tool was developed using Python and RStudio to enhance stakeholder efficiency, reduce errors, and streamline communication. …”
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…The ODT classifier introduces flexibility in decision boundaries, which enables it to capture complex linkages between biomedical data. …”
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Indonesian, Korean, and French Sheet Masks: Three Alternatives in a Hybrid Choice Model of Indonesian Women's Choice Decision by Michelle Ferica, Prawira Fajarindra Belgiawan, Lidia Mayangsari, Nila Armelia Windasari, Nisful Laila, Satria Fadil Persada, Reza Ashari Nasution

“…Women's choice decision has gained lots of attention in the literature, particularly regarding how they evaluate attributes that are similarly important. …”
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Analysis of the causes of improper medical decision-making in medical damage liability disputes in China: a text mining approach by Qian Xu, Yuwen Lyu, Xinzhu Zhang, Junrong Liu

“…Abstract Background Improper medical decision-making is a key issue in healthcare disputes worldwide. …”
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Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making by Jacques Creteur, Thibault Martinez, Valerio Lucidi, Turgay Tuna, Florian Blanchard, Olivier Duranteau, Benjamin Popoff, Axel Abels, Eric Savier, Patrizia Loi, Desislava Germanova, Anne Demulder

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A decision-making method for optimal sizing of a sustainable residential building via a multi-objective optimization method by Soroush Mousavi, Mohammad Hossein Jahangir, Alibakhsh Kasaeian

“…A multi-criteria decision-making (MCDM) method was used to identify the optimal solution among various alternatives. …”
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Can ChatGPT pass the MRCP (UK) written examinations? Analysis of performance and errors using a clinical decision-reasoning framework by Stuart Maitland, Ross Fowkes, Amy Maitland

“…Objective Large language models (LLMs) such as ChatGPT are being developed for use in research, medical education and clinical decision systems. However, as their usage increases, LLMs face ongoing regulatory concerns. …”
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Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

“… This paper proposes an approach for constructing a system for career prediction by applying the eXtreme Gradient Boosting (XGBoost) Decision Tree model to the academic results of Ho Chi Minh International University’s School of Computer Science and Engineering graduates in the past 5 years. …”
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Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

“… This paper proposes an approach for constructing a system for career prediction by applying the eXtreme Gradient Boosting (XGBoost) Decision Tree model to the academic results of Ho Chi Minh International University’s School of Computer Science and Engineering graduates in the past 5 years. …”
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A Cross-sectional Study on Stature Estimation from Arm Lengths among North Indian Population using Machine Learning by Arunima Dutta, Gyamar Anya

“…Descriptive statistics, p-values, t-values and Pearson’s correlation coefficient were studied using Statistical Package of Social Sciences (SPSS) software version 21.0 and a decision forest model was designed on a cloud-based coding platform using Python programming language. …”
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SPEED: A Graphical User Interface Software for Processing Eye Tracking Data by Daniele Lozzi, Ilaria Di Pompeo, Martina Marcaccio, Matias Ademaj, Simone Migliore, Giuseppe Curcio

“…The software is written in Python which helps researchers with the feature extraction step without any coding skills. …”
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A 3D Stock Heatmap for Virtual Reality by Shan Kulla

“…This will enable stock market participants to better analyze the data and, through these insights, make better financial decisions.…”
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