In this paper, we evaluate the validity, accuracy, usefulness, and specificity of medical diagnoses related to lung cancer and its staging provided by ChatGPT based on symptoms described by humans. The evaluation is g...
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ISBN:
(纸本)9798350319439
In this paper, we evaluate the validity, accuracy, usefulness, and specificity of medical diagnoses related to lung cancer and its staging provided by ChatGPT based on symptoms described by humans. The evaluation is grounded on three main pillars: the validity and accuracy of answers in relation to context and associated references. The specificity and usefulness of the information for both doctors and patients. The economic value added to the healthcare system, determined by several weighted factors derived from the provided answers. The system's responses are expected to return proposed diagnoses and diagnostic steps, ranked by probability and importance. A specialist conducts the review process.
Multi-agent, decentralised, and collective self-adaptive systems have been studied in a range of domains from smart-cities to the social dynamics of organisations. We present a novel application for research in this a...
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Situated Visualizations (SV) and reality-based information retrieval systems, enhanced by Mixed Reality (MR) and Augmented Reality (AR), enable the overlay of digital information onto real-world objects, providing con...
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While the residential mortgage industry has benefited from automated mortgage applications and underwriting, the commercial mortgage industry still relies heavily on manual underwriting. The paper aims to present the ...
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ISBN:
(纸本)9783031503849;9783031503856
While the residential mortgage industry has benefited from automated mortgage applications and underwriting, the commercial mortgage industry still relies heavily on manual underwriting. The paper aims to present the state of research in the domain of knowledge-basedsystems (KBS) and commercial mortgage underwriting and to identify the challenges in commercial mortgage underwriting by conducting a systematic literature review (SLR). The SLR uses the review process outlined by Kitchenham and includes a hybrid coding approach to analyze the data. The paper finds that KBS and ontologies to automate commercial mortgage underwriting were not studied yet. It also identifies several challenges in mortgage underwriting in data, process, and underwriting categories. The findings of this paper can be used for further research in the field of commercial mortgage underwriting and KBS. KBS appear suitable to address the identified challenges and can be integrated into information system automation or artificial intelligence (AI) implementations for commercial mortgage underwriting.
In recent years, there has been an energy transition in which fossil fuel-fired power plants are being replaced by renewable energy sources such as photovoltaics. While the influence of factors such as location and me...
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Semantic segmentation in rainy scenes is a challenging task due to the complex environment, class distribution imbalance, and limited annotated data. To address these challenges, we propose a novel framework that util...
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Anomaly detection is recognized as a critical task in machine learning, particularly when applied to high-dimensional and graph structured data. Traditional clustering based methods for anomaly detection are often cha...
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As trivial as it is for humans to identify, locate, and distinguish objects from their backgrounds and other objects, for computersystems, it is not so trivial. In computer Science domain, the topic of Object detecti...
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Photovoltaic systems are being used more and more in the production of electricity because of the high cost of fossil fuel-based energy. The main issue that happens between grid and end-user transmission lines is powe...
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To provide the industry with an algorithm capable of accurately calculating comment statement tags, this paper proposes a research method based on feature engineering and BILSTM technology. First, the paper uses big d...
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