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46341“…OBJECTIVE: This study aims to develop an intelligent forecasting system with machine learning models and internet search index to provide an accurate prediction of ED patient arrivals, to verify the effectiveness of the internet search index, and to explore whether nonlinear models can improve the forecasting accuracy. …”
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46342“…The legal framework for the development of U-space should be taken into account, as well as sector-specific regulations taking into account the principles of the use of drones in strictly defined areas, including in the process of medical supply, and liability for damage caused by UAV medical supply or AI-controlled intelligent machines.…”
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46343por Compère, Vincent, Mauger, Alban, Allard, Etienne, Clavier, Thomas, Selim, Jean, Besnier, Emmanuel“…These data were collected using a semi-intelligent SMS text messaging platform to follow up with the patient at home after ambulatory surgery. …”
Publicado 2022
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46344por Rahnama, Saghar, Tehrankhah, Zahra Moazezi, Mohajerani, Fatemeh, Mohammadi, Faezeh Shah, Yeganeh, Zahra Yousefi, Najafi, Farhood, Babashah, Sadegh, Sadeghizadeh, Majid“…The findings indicate that N-MT can function intelligently in cancer cells and can be a helpful complement to cancer treatment. …”
Publicado 2023
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46345por Deng, Le-le, Han, Ya-jun, Li, Zhuo-wei, Wang, Da-yan, Chen, Tao, Ren, Xiang, He, Guang-xue“…With the rapid advancement of high-tech solutions, the development and effective implementation of a digital/intelligent RIDs control and prevention system are imperative to facilitate precise surveillance, early warnings, and swift responses. …”
Publicado 2023
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46346por Eckhoff, Randall Peter, Kizakevich, Paul Nicholas, Bakalov, Vesselina, Zhang, Yuying, Bryant, Stephanie Patrice, Hobbs, Maria Ann“…All data are acquired using a schedule appropriate to the app’s deployment. The PHIT intelligent virtual advisor (iVA) is an expert system logic layer, which analyzes the data in real time on the device. …”
Publicado 2015
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46347“…This method is a new solution for the early prediction of tomato leaf spot and a new idea for the intelligent diagnosis of tomato leaf spot.…”
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46348“…METHODS: In our proposed approach, we introduce a novel framework, termed Biomed-Summarizer, that provides quality-aware Patient/Problem, Intervention, Comparison, and Outcome (PICO)-based intelligent and context-enabled summarization of biomedical text. …”
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46349por Sakib, Nazmus, Ahamed, Sheikh Iqbal, Khan, Rumi Ahmed, Griffin, Paul M, Haque, Md Munirul“…These data-driven results further offer design implications for multiparameter intelligent sepsis prediction in the ICU.…”
Publicado 2020
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46350“…CONCLUSIONS: As the first of such type of studies, we provided a longitudinal overview of how hospital characteristics and governance structure jointly affect adoption rates of tracking technology in both clinical and supply chain use contexts, which is essential for developing intelligent infrastructure for smart hospital systems. …”
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46351por Wu, Dezhi, Kasson, Erin, Singh, Avineet Kumar, Ren, Yang, Kaiser, Nina, Huang, Ming, Cavazos-Rehg, Patricia A“…OBJECTIVE: This study aimed to compare vaping-related content on 2 popular social media platforms (ie, Twitter and Reddit) to explore the context surrounding vaping during the 2019 EVALI outbreak and to support the feasibility of using data from both social platforms to develop in-depth and intelligent vaping detection models on social media. …”
Publicado 2022
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46353por van Sluis, Klaske E., Passchier, Ellen, van Son, Rob J. J. H., van der Molen, Lisette, Stuiver, Martijn, van den Brekel, Michiel W. M., Van den Steen, Leen, Kalf, Johanna G., van Nuffelen, Gwen“…A moderate correlation was found between the Dutch CPIB‐10 and the speech performance assessments (degree of distortedness r = −0.0557; p ≤ 0.001; degree of intelligibility r = 0.0562). CONCLUSIONS & IMPLICATIONS: The Dutch CPIB short form provides a valid and reliable tool for clinical practice and research purposes. …”
Publicado 2022
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46354“…CONCLUSIONS: The system introduced in this article shows that current LOD technologies are a promising alternative to represent heterogeneous health data in a flexible and reusable manner so that they can serve intelligent queries, and ultimately support decision-making. …”
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46355“…BACKGROUND: Electronic health (eHealth) literacy is an important skill that allows patients to navigate intelligibly through the vast, often misleading Web-based world. …”
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46356por Ming, Antao, Walter, Isabell, Alhajjar, Ahmad, Leuckert, Martin, Mertens, Peter R.“…This trial aims to investigate the effectiveness of daily home-based foot temperature measurements in the prevention of DFUs with the aid of intelligent sensor-equipped insoles combined with photo documentation. …”
Publicado 2019
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46357“…A standard medical record system and data format would better promote the development of future intelligent medical care. Issues such as ensuring service quality, solving safety risks, and better integrating mobile services with regular medical workflows also need to be addressed.…”
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46358por Hong, Na, Liu, Chun, Gao, Jianwei, Han, Lin, Chang, Fengxiang, Gong, Mengchun, Su, Longxiang“…The development of intelligent machine learning–based clinical decision support systems is facing great opportunities and challenges. …”
Publicado 2022
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46359por Desautels, Thomas, Calvert, Jacob, Hoffman, Jana, Jay, Melissa, Kerem, Yaniv, Shieh, Lisa, Shimabukuro, David, Chettipally, Uli, Feldman, Mitchell D, Barton, Chris, Wales, David J, Das, Ritankar“…METHODS: We apply InSight, a machine learning classification system that uses multivariable combinations of easily obtained patient data (vitals, peripheral capillary oxygen saturation, Glasgow Coma Score, and age), to predict sepsis using the retrospective Multiparameter Intelligent Monitoring in Intensive Care (MIMIC)-III dataset, restricted to intensive care unit (ICU) patients aged 15 years or more. …”
Publicado 2016
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46360por Antoniou, Panagiotis E, Arfaras, George, Pandria, Niki, Athanasiou, Alkinoos, Ntakakis, George, Babatsikos, Emmanouil, Nigdelis, Vasilis, Bamidis, Panagiotis“…CONCLUSIONS: These results demonstrate that this novel sensor configuration can lead to credible affective state detection and can be used in platforms like intelligent tutoring systems for providing real-time, evidence-based, affective learning analytics using VR/MR-deployed medical education resources.…”
Publicado 2020
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