Handbook of Research on Modern Systems Analysis and Design Technologies and Applications / by Syed, Mahbubur Rahman, 1952-, editor 218954, Syed, Sharifun Nessa, 1954-, editor 508094, Gale Group (Online service) 651863

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Enabling personalised disease diagnosis by combining a patient’s time-specific gene expression profile with a biomedical knowledge base by Ghanshyam Verma, Dietrich Rebholz-Schuhmann, Michael G. Madden

“…However, the use of such biomedical KBs in combination with patients’ temporal clinical data still largely remains unexplored, but has the potential to immensely benefit medical diagnostic decision support systems. Results We propose two new algorithms, LOADDx and SCADDx, to combine a patient’s gene expression data with gene-disease association and other related information available in the form of a KB, to assist personalized disease diagnosis. …”
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Predicting venous thromboembolism (VTE) risk in cancer patients using machine learning by Samir Khan Townsley, Debraj Basu, Jayneel Vora, Ted Wun, Chen‐Nee Chuah, Prabhu R. V. Shankar

“…These results are encouraging for potential applications of ML to predicting cancer‐associated VTE in clinical settings such as in bedside decision support systems where feature availability may be limited.…”
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Stakeholder Perspectives on an Inpatient Hypoglycemia Informatics Alert: Mixed Methods Study by Nestoras Mathioudakis, Moeen Aboabdo, Mohammed S Abusamaan, Christina Yuan, LaPricia Lewis Boyer, Scott J Pilla, Erica Johnson, Sanjay Desai, Amy Knight, Peter Greene, Sherita H Golden

“… BackgroundIatrogenic hypoglycemia is a common occurrence among hospitalized patients and is associated with poor clinical outcomes and increased mortality. Clinical decision support systems can be used to reduce the incidence of this potentially avoidable adverse event. …”
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Enhancing Kidney Transplant Care through the Integration of Chatbot by Oscar A. Garcia Valencia, Charat Thongprayoon, Caroline C. Jadlowiec, Shennen A. Mao, Jing Miao, Wisit Cheungpasitporn

“…Its integration with existing clinical decision support systems may enhance risk stratification and treatment planning, contributing to more informed and efficient decision making in kidney transplant care. …”
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Validation of a Brief Dietary Questionnaire for Use in Clinical Practice: Mini‐EAT (Eating Assessment Tool) by Kyla M. Lara‐Breitinger, Jose R. Medina Inojosa, Zhuo Li, Sarka Kunzova, Amir Lerman, Stephen L. Kopecky, Francisco Lopez‐Jimenez

“…Future studies to test the Mini‐EAT's validity in diverse populations and for development of clinical decision support systems to capture changes over time are needed.…”
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Decision-Making Using Big Data Relevant to Sustainable Development Goals (SDGs) by Saman Fattahi, Sharifu Ura, Md. Noor-E-Alam

“…Thus, the outcomes of this article can help those who wish to develop pragmatic decision support systems leveraging the capacity of big data in fulfilling SDGs.…”
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Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours by Ortega-Martorell Sandra, Lisboa Paulo JG, Vellido Alfredo, Julià-Sapé Margarida, Arús Carles

“…The application of Convex-NMF in computer assisted decision support systems is expected to facilitate further improvements in the uptake of MRS-derived information by clinicians.…”
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Clinicians and Older Adults’ Perceptions of the Utility of Patient-Generated Health Data in Caring for Older Adults: Exploratory Mixed Methods Study by Ben Kim, Peyman Ghasemi, Paul Stolee, Joon Lee

“…Four main themes were identified from the focus group interviews: influence of PGHD on patient-provider trust, reliability of PGHD, meaningful use of PGHD and PGHD-based decision support systems, and perceived clinical benefits and intrusiveness of PGHD. …”
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Assessing capacitance soil moisture sensor probes’ ability to sense nitrogen, phosphorus, and potassium using volumetric ion content by Zoë J. Stroobosscher, Akshara Athelly, Sandra M. Guzmán

“…The probes’ readings could be incorporated into decision support systems for irrigation and nutrient management and improve control systems for precision water and nutrient management.…”
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Spatiotemporal Trend Analysis of Temperature and Rainfall over Ziway Lake Basin, Ethiopia by Aster Tesfaye Hordofa, Olkeba Tolessa Leta, Tane Alamirew, Abebe Demissie Chukalla

“…Rainfall and temperature trends detection is vital for water resources management and decision support systems in agro-hydrology. This study assessed the historical (1983–2005) and future (2026–2100) rainfall, maximum temperature (T_max), and minimum temperature (T_min) trends of the Ziway Lake Basin (Ethiopia). …”
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Natural Language Processing of Referral Letters for Machine Learning–Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study by Sebastian Fudickar, Carsten Bantel, Jannik Spieker, Heinrich Töpfer, Patrick Stegeman, Henrica R Schiphorst Preuper, Michiel F Reneman, André P Wolff, Remko Soer

“… BackgroundDecision support systems (DSSs) for suggesting optimal treatments for individual patients with low back pain (LBP) are currently insufficiently accurate for clinical application. …”
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Developing practical recommendations for drug-disease interactions in patients with hypertension by Kübra Özokcu, Kübra Özokcu, Maaike M. E. Diesveld, Suzan G. H. Gipmans, Laura E. J. Peeters, Bert-Jan van den Born, Sander D. Borgsteede

“…Drugs with evidence for a relevant change in blood pressure which are prescribed under close monitoring of blood pressure according to clinical guidelines, were deemed to be not clinically relevant for signalling.Conclusion:This study provides specific recommendations that can be implemented directly in clinical practice, for example, in clinical decision support systems, potentially resulting in safer drug use in patients with hypertension and better healthcare by reducing alert fatigue. …”
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Research and Application of Improved Clustering Algorithm in Retail Customer Classification by Chu Fang, Haiming Liu

“…The evaluating system can be used to quantify customer value, to segment the customers, and to build a decision-supporting system for customer value management. The fourth part presents the cure, mainly an analysis of the typical k-means algorithm; this paper proposes two algorithms to improve the k-means algorithm. …”
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About the methodology of system synthesis of decision-makings and its procedures automation by D. P. Oleynikov, L. N. Butenko

“…The problem qualitative assessment of technologies and innovations, which cannot be solved without modern methods and decision support systems, is currently particularly relevant. …”
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Geospatial Assessment of Water-Migration Scenarios in the Context of Sustainable Development Goals (SDGs) 6, 11, and 16 by Nidhi Nagabhatla, Rupal Brahmbhatt

“…For example, the high GCRI values for the African region speak to SDG targets 11.B (integrated policies/plans) and 16.7 (decision support systems for peaceful societies). Two key highlights from the synthesis: (a) migration and urbanization are closely interconnected, and (b) the impact of water and climate crisis is comparatively high for rural-urban migration due to the considerable dependence of rural communities on nature-based livelihoods. …”
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Editorial by Sorana D. BOLBOACĂ

“…The RoMedINF 2023 conference covers various topics, including but not limited to healthcare ecosystems; telemedicine, tele-assistance, and telemonitoring; mHealth; eHealth; virtual reality; digital/virtual twins; computational models; statistical modeling; artificial intelligence; virtual clinical trials; decision support systems; nursing health informatics; medical engineering; healthcare monitoring; algorithms evaluation; wearables; sensors; medical devices; data security; data sharing; ethics; medical informatics training; continuing education etc. …”
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Using Bias Parity Score to Find Feature-Rich Models with Least Relative Bias by Bhanu Jain, Manfred Huber, Ramez Elmasri, Leonidas Fegaras

“…Machine learning-based decision support systems bring relief and support to the decision-maker in many domains such as loan application acceptance, dating, hiring, granting parole, insurance coverage, and medical diagnoses. …”
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Implementation of workflow engine technology to deliver basic clinical decision support functionality by Oberg Ryan, Rasmussen Luke V, Huser Vojtech, Starren Justin B

“…We focus on two challenges in decision support systems: the ability to test decision logic on retrospective data prior prospective deployment and the challenge of user-friendly representation of clinical logic.…”
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Crop Yield Estimation Using Deep Learning Based on Climate Big Data and Irrigation Scheduling by Khadijeh Alibabaei, Pedro D. Gaspar, Tânia M. Lima

“…Deep learning has already been successfully used in the development of decision support systems in various domains. Therefore, there is an incentive to apply it in other important domains such as agriculture. …”
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