In recent years, the explosive growth of the Internet has made it an indispensable part of our daily study, work and life. With the rapid development of the medical industry and information technology, electronic heal...
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(纸本)9798350304602
In recent years, the explosive growth of the Internet has made it an indispensable part of our daily study, work and life. With the rapid development of the medical industry and information technology, electronic health record (EHR) system has been widely used, and more and more researchers choose to conduct experiments based on EHR data sets. However, due to the complexity and heterogeneity of patient EHR data, and electronic health record is a long-term process. Therefore, it is difficult for researchers to analyze EHR data sets for experiments such as predictions and recommendations. In this paper, we propose a disease prediction model (RTAMDSA model), which integrates Reverse Time Attention Mechanism (RTAM) and Dynamic Similarity Analysis (DSA). The model mainly includes a patient representation module, a similarity analysis module and a disease prediction module. The patient representation module uses a reverse temporal attention mechanism with two levels of attention, to run Recurrent Neural Network in reverse chronological order, to obtain the embedding representation of the patient from the patient's historical disease trajectory, so that the patient's most recent visit records receive more attention than the old records, because the patient's recent visit information is more informative. The similarity analysis module performs searches using dynamic similarity analysis, to calculate the similarity of each patient for each visit, and obtain the specific patient sequences that are most similar to the target patient. The disease prediction module integrates the obtained patient embeddings and similar patient sequences to output the final prediction result for the target patient. Comparing with the baseline models on the MIMIC-III dataset, experimental results show that the RTAMDSA model improves prediction accuracy on the disease prediction task, exhibits better robustness and stability, and the reverse time attention mechanism provides good interpretability f
The rapid evolution of distributed energy resources,particularly photovoltaic systems,poses a formidable challenge in maintaining a delicate balance between energy supply and demand while minimizing *** integrated nat...
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The rapid evolution of distributed energy resources,particularly photovoltaic systems,poses a formidable challenge in maintaining a delicate balance between energy supply and demand while minimizing *** integrated nature of distributed markets,blending centralized and decentralized elements,holds the promise of maximizing social welfare and significantly reducing overall costs,including computational and communication ***,achieving this balance requires careful consideration of various hyperparameter sets,encompassing factors such as the number of communities,community detection methods,and trading mechanisms employed among *** address this challenge,we introduce a groundbreaking neural network-based framework,the Energy Trading-based Artificial Neural Network(ET-ANN),which excels in performance compared to existing *** experiments underscore the superiority of ET-ANN in minimizing total energy transaction costs while maximizing social welfare within the realm of photovoltaic networks.
Because of its adaptive interfacial property,soft sensors/actuators can be used to perform more delicate tasks than their rigid ***,plant epidermis with a waxy cuticle layer challenges stable and high-fidelity non-inv...
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Because of its adaptive interfacial property,soft sensors/actuators can be used to perform more delicate tasks than their rigid ***,plant epidermis with a waxy cuticle layer challenges stable and high-fidelity non-invasive electrophysiology since the conventional electrodes are invasive,easily detached from plants,and require complicated setup ***,we report a bioinspired sensor and actuator created by using a conformable electrode interface as an electrical modulation unit on a Venus *** conformable electrode,by employing an adhesive hydrogel layer,can achieve the merits of low impedance,stretchable,biocompatible,reusable,and transparent enough for normal chlorophyll activity to *** to the high sensitivity of a flytrap to a triggering mechanical stimulation,a plant sensor matrix based on flytraps has been demonstrated by capturing the stimulated action potential(AP)signals from upper epidermis,which can orient honeybee colonies by their touch during collecting ***,via frequency-dependent AP modulation,an autonomous on-demand actuation on a flytrap is *** flytrap actuator can be controlled to responsively grasp tiny objects by the modulated signals triggered by a triboelectric nanogenerator(TENG).This work paves a way of developing autonomous plant-based sensors and actuators toward smart agriculture and intelligent robots.
Aquaculture, a rapidly growing industry that plays a crucial role in global food security and contributes significantly to the economies of many countries, faces substantial challenges in managing aquatic diseases. Am...
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Alzheimer's disease (AD) is one of the prevailing, degenerative, and progressive brain disease which is the primary cause of dementia all over the world. It steadily worsens by affecting the memory, behavioral pat...
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Spectral indices obtained from satellite images are helpful for remote sensing, particularly for land cover classification (LCC). Therefore, the purpose of this paper will be to evaluate the performance of the three r...
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Multimedia security is important as multimedia data transfer is high in many fields like education, military, medical, etc. Chaos is a branch of mathematics focusing on dynamic systems. Chaos is known for its ergodici...
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Escorted by the latest improvements in technology, real-time monitoring of video data plays a rising supreme role in our lives. It has already had a significant influence on various areas of indoor and outdoor activit...
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Web design now plays a crucial part in how people interact with websites thanks to the quick development of the digital world. Traditional web design methods that rely on manual coding have run afoul of the intricate ...
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Feature extraction from satellite images has steadily but progressively grown in recent years. Numerous feature extraction techniques have been created as a result of the increase. The loss of certain features is one ...
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