decision-support-systems

Documents about decision-support-systems

• AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems#199329OpenAlex
• Fractalopolis: A multi-scale scenario-modelling approach for evaluating master plans and rebalancing metropolitan hierarchy#301226HAL (France)
• Vulnerable Student Digital Well-Being in AI-Powered Educational Decision Support Systems (AI-EDSS) in Higher Education#460793ERIC
• AgriPestDatabase-v1.0: A Structured Insect Dataset for Training Agricultural Large Language Model#183488DigitalCommons@Kennesaw State University
• Additional file 8 of Human factors validation study of an artificial neural network‑based preoperative decision‑support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN99301435)#241900Figshare
• Additional file 7 of Human factors validation study of an artificial neural network‑based preoperative decision‑support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN99301435)#241901Figshare
• Additional file 6 of Human factors validation study of an artificial neural network‑based preoperative decision‑support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN99301435)#241902Figshare
• Additional file 5 of Human factors validation study of an artificial neural network‑based preoperative decision‑support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN99301435)#241903Figshare
• Additional file 4 of Human factors validation study of an artificial neural network‑based preoperative decision‑support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN99301435)#241904Figshare
• Additional file 3 of Human factors validation study of an artificial neural network‑based preoperative decision‑support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN99301435)#241905Figshare
• Additional file 2 of Human factors validation study of an artificial neural network‑based preoperative decision‑support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN99301435)#241907Figshare
• Additional file 1 of Human factors validation study of an artificial neural network‑based preoperative decision‑support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN99301435)#241909Figshare
• Early warning systems for chemical risks in Europe: methodological components for signal detection, prioritization, uncertainty management and follow-up#315039HAL (France)
• Trustworthy Intelligence Fusion for Search and Rescue: Designing Grounded and Secure Multi-Agent AI for Mission Decision Support#332995DigitalCommons@CalPoly
• Robust and Interpretable Crop Recommendation: A Case Study on a Balanced Multi-crop Agronomic Dataset#424770HAL (France)
• From Early Warning to Action: A Data-Driven Framework for Integrating Early Warning Systems and MTSS in K–12 Education#660468OSF
• COMPARING THE PERFORMANCE OF REGRESSION AND NEURAL NETWORKS AS DATA QUALITY VARIES: A BUSINESS VALUE APPROACH#933366NYU Faculty Digital Archive
• Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare#964370OpenAlex
• Barriers and facilitators to the implementation and use of computerized clinical decision support systems for predicting and managing in-patient clinical deterioration: a systematic review of qualitative research#140169Unpaywall
• Hierarchical Multi-Level LLM Agent Swarms for Financial Research Synthesis and Trading Decision Support in Multi Strategy Hedge Funds#183493DigitalCommons@Kennesaw State University
• Can Generative AI Make Farming Decisions? Current Status and Future Pathways: A Case Study in Row Crop Production with ChatGPT#463982DigitalCommons@University of Nebraska
• DESIGN AND IMPLEMENTATION OF A MARINE CORPS RECRUITING COMMAND (MCRC) ARTIFICIAL INTELLIGENCE (AI) GUIDANCE ENGINE (MCRAGE)#657649Calhoun
• Socioeconomic and digital divides in public support for AI-driven welfare decisions: cross-national evidence from 21 countries#374080Figshare
• Élaborer et mettre en œuvre des plans nationaux pour la mise au point et l’adaptation de lignes directrices de pratique clinique et de santé publique#142336WHO IRIS
• What are the views of cancer care administrators and clinicians in England on the use of a machine learning clinical decision support system (ML-CDSS) to predict patients' risk of hepatic and renal deterioration during chemotherapy? A qualitative study.#209425NCBI PubMed Central
• Adapting Diabetes Treatment Expert Systems to Patient in Type 1 Diabetes#918555ClinicalTrials.gov
• PATENT PUBLICATION 1242239: A COMPARTMENTAL MODELING APPROACH TO VISCERAL LEISHMANIASIS: TRANSMISSION DYNAMICS, HOST--VECTOR INTERACTIONS, AND CONTROL STRATEGIES#124846DataCite
• PATENT PUBLICATION 1242239: A COMPARTMENTAL MODELING APPROACH TO VISCERAL LEISHMANIASIS: TRANSMISSION DYNAMICS, HOST--VECTOR INTERACTIONS, AND CONTROL STRATEGIES#124847DataCite
• Additional file 2 of Computational forecasting using Swedish data in the vaccination phase of the COVID-19 pandemic: a systematic literature review deliberating modelling relevance for public health and healthcare#359858Figshare
• Additional file 1 of Computational forecasting using Swedish data in the vaccination phase of the COVID-19 pandemic: a systematic literature review deliberating modelling relevance for public health and healthcare#359859Figshare
• Application of Knowledge-based Tools in Environmental Decision Support Systems#499804Munich Personal RePEc Archive