The majority of research does not put enough emphasis on age-related disorders in this decade of rapid advancements in medical science. These illnesses manifest their symptoms at a far later stage, making a full recov...
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The proposed system seamlessly combines text encryption and password management through a user- friendly graphical interface (GUI). The graphical interface facilitates easy input which undergoes encryption algorithms ...
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In the post-pandemic era, online learning has become a prevalent mode of education. To ensure effective monitoring of learners' engagement in online courses, this study proposes a novel method for real-time monito...
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This paper examines the application of machine learning (ML) techniques in the prediction of the compressive strength of recycled aggregate concrete (RAC). The ML models are trained on a comprehensive dataset composed...
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The utilization of photovoltaic (PV) systems for generating clean electricity has surged, yet their efficiency remains a concern. Researchers seek to enhance efficacy and extract optimum energy from PV panels through ...
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Sensor nodes in Integrated Wireless Detector Networks (IWDN) may malfunction as a result of abrupt damage or running out of battery power. As a result, IWDN is divided into numerous different networks. In order to res...
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A protection strategy utilizing agent technology for adaptive relaying of Directional Overcurrent Relays (DOCRs) has been proposed in this paper. In this approach, communication plays a vital role by providing real ti...
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Pharmacovigilance is a systematic and scientifically rigorous discipline that assumes responsibility for the safety of pharmaceuticals, with its primary objective being the mitigation of risks while optimizing the ben...
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ISBN:
(纸本)9798350337488
Pharmacovigilance is a systematic and scientifically rigorous discipline that assumes responsibility for the safety of pharmaceuticals, with its primary objective being the mitigation of risks while optimizing the benefits associated with medication usage. This mission-critical undertaking plays an indispensable role in preserving public health. At its core, pharmacovigilance entails the methodical collection and proficient management of data pertaining to medication safety. Additionally, these activities encompass the vigilant scrutiny of data to detect emerging "signals"indicative of new or evolving safety concerns. The expert evaluation of this data facilitates well-informed decision-making regarding matters of drug safety. Furthermore, proactive risk management strategies are deployed to effectively mitigate potential associated risks. In the pursuit of proactive health protection, regulatory actions are swiftly executed. Concurrently, the World Health Organization (WHO) underscores the global importance of establishing a robust pharmacovigilance framework. It advocates for the establishment of a comprehensive pharmacovigilance system, defined as encompassing "the science and activities related to the detection, assessment, understanding, and prevention of adverse effects or any other problem related to drugs or any other healthcare product."In this dynamic landscape, a pivotal question arises: "How can the automated identification and extraction of references to diseases, medications, and adverse effects from clinical notes and biomedical literature be achieved?"Central to this discourse are adverse drug effects (ADEs), which present a formidable public health challenge, manifesting as a significant source of patient morbidity and mortality. To expedite the utilization of real-world data (RWD) for the enhancement of pharmacovigilance practices, our focus has gravitated towards the development of a high-performance natural language processing (NLP) model. This m
The electrocardiogram (ECG) contains the information required for identifying various cardiovascular diseases or abnormalities. Early identification of abnormalities will be immensely useful in the treatment of the ab...
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