Exploring the potential cost-effectiveness of a new computerised decision support tool for identifying fetal compromise during monitored term labours: an early health economic model by H. E. Campbell, S. Ratushnyak, A. Georgieva, L. Impey, O. Rivero-Arias

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Psychometric properties of the Danish SDM-Q-9 questionnaire for shared decision-making in patients with pelvic floor disorders and low back pain: item response theory modelling by Mette Hulbaek, Sofie Ronja Petersen, Charlotte Ibsen

“…Discrimination parameters (a-scores) for the model ranged from 2.39 (item 1) to 4.48 (item 8). …”
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Investment decisions in a liberalised energy market with generation and hydrogen-based vector coupling storage in Integrated Energy System: A game-theoretic model-based approach by Akhil Joseph, Adib Allahham, Sara Louise Walker

“…An annual investment model and an hourly operation simulation model are used to evaluate the value of hydrogen production, coupling components, and vector coupling storage in long-term investment decisions. …”
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Evidence Based Gait Analysis Interpretation Tools (EB-GAIT) treatment recommendation and outcome prediction models to support decision-making based on clinical gait analysis data. by Michael H Schwartz, Andrew G Georgiadis

“…While the models perform well, their effectiveness is constrained by historical variability in treatment decisions and the inherent complexity of patient outcomes. …”
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Requirements for a Technology-Supported Students’ Career Selection Model: Insights from Social Cognitive Career Theory by Moses Kamondo Tuhame, Barbara Naluwadda Kayondo, Annabella Habinka Dorothy Basaza, Gilbert Maiga

“…Results indicate that career decisions are influenced by parental guidance, role models, financial constraints, media exposure, and self-efficacy, with students generally showing moderate confidence in their career choices but facing challenges related to external pressures and decision-making complexity. …”
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Estimation and validation of solubility of recombinant protein in E. coli strains via various advanced machine learning models by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…Abstract This study presents a comprehensive approach to predicting solubility of recombinant protein in four E. coli samples by employing machine learning techniques and optimization algorithms. Various models, including AdaBoost, Decision Tree Regression (DT), Gaussian Process Regression (GPR), and K-Nearest Neighbors (KNN) are applied to capture the intricate relationships between experimental factors and protein solubility. …”
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A probabilistic approach for eye-tracking based process tracing in catalog browsing by Erina Ishikawa Schaffer, Hiroaki Kawashima, Takashi Matsuyama

Subjects: “…consumer decision processes…”
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On the Integration Management of Companies and the Institutions of Higher Education. by О. V. Spivakovskiy

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ChatGPT performance in assessing musculoskeletal MRI scan appropriateness based on ACR appropriateness criteria by Jin Rong Tan, Daniel Y. Z. Lim, Quan Le, Gita Y. Karande, Lai Peng Chan, Yeong Huei Ng, Daniel S. W. Ting, Sudharsan Madhavan, Hiok Yang Chan, Anh N. T. Tran, Yusheng Keefe Lai

Subjects: “…Large language models…”
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Research on tugboat scheduling optimization model considering the reliability of tugboat matching scheme by Yangjun Ren, Mengchi Li, Yushun Lei, Yan Zhou, Di Liu, Jianjun Tu, Botang Li

“…With large ships requiring more tugboat assistance, a two-stage multi-criteria decision-making method is proposed. This includes a normal distribution-based multi-attribute group decision-making method with triangular fuzzy numbers to determine tugboat matching scheme reliability. …”
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Enhancing Strategic Partnerships in Higher Education: Developing and Implementing a Predictive Model by Georgios Eftychiou

Subjects: “…Strategic-Fit Model…”
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Construction of the risk predition model of mild cognitive impairment in hospitalized elder patients by WU Ruikai, MA Long, ZHOU Xiaohui, HAN Zhengfeng

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Exploring PM2.5 and PM10 ML forecasting models: a comparative study in the UAE by Waad Abuouelezz, Nazar Ali, Zeyar Aung, Ahmed Altunaiji, Shaik Basheeruddin Shah, Derek Gliddon

“…This research compares machine learning and time series models, such as Decision Tree (DT), Random Forest (RF), Support Vector Regression (SVR), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Facebook Prophet, for predictions of these matters. …”
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A Multi-Criteria Comparison of Large Language Model Powered Assistants in Pre-Research Studies for the Academia by Murat Akin, Gul Didem Batur Sir, Ayyuce Aydemir Karadag, Hakan Cercioglu

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A causal model to assess the correlation between community vitality and community size of non-native ethnic groups in the Indian context by Purbita Samanta, Subrata Chattopadhyay, Archiman Biswas

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Development application of FMEA risk assessment model for indoor air pollutants in healthcare organizations: Focus on suspended particles and bioaerosols in hospitals by Mahbubeh Tangestani, Ahmad Jonidi Jafari, Majid Kermani, Roshanak Rezaei Kalantary

“…This study aimed to develop the Failure Mode and Effects Analysis (FMEA) and Decision Matrix Risk Assessment (DMRA) technique for the first time to assess risks associated with particulate matter (PM) and bioaerosol transmission in hospitals. …”
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Economic evaluation of short message service intervention for HIV prevention among men who have sex with men in China: a modelling study by Rui-Qi Fan, Jun-Tao Shu, Hao Huang, Ling-Yi Shi, Qi-Wei Ge, Xun Zhuang, Mei-Yin Zou, Gang Qin

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Stacked ensemble model for accurate crop yield prediction using machine learning techniques by Ramesh V, Kumaresan P

“…The proposed model employs a stacked ensemble learning approach, with a Decision Tree Regressor functioning as the meta-model to amalgamate predictions from six distinct base learner models: Linear Regression (LR), Elastic Net, XGBoost Regressor, K-Neighbors Regressor (KNR), AdaBoost Regressor, and Random Forest Regressor (RFR). …”
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Development of a triangular Fermatean fuzzy EDAS model for remote patient monitoring applications by Asghar Khan, Saeed Islam, Muhammad Ismail, Abdulaziz Alotaibi

“…Using TFFSWWA, we develop an improved Evaluation based on Distance from Average Solution (EDAS) method for multi-criteria group decision-making (MCGDM) under TFFN settings. A case study on wearable sensor selection demonstrates the proposed model’s efficiency. …”
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An Institutional Theory Framework for Leveraging Large Language Models for Policy Analysis and Intervention Design by J. de Curtò, I. de Zarzà, Leandro Sebastián Fervier, Victoria Sanagustín-Fons, Carlos T. Calafate

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