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  1. Hace 1 día · For instance, big data analytics can be used to identify patients at a higher risk of developing sepsis, a potentially life-threatening condition. By analyzing a patient's medical history, vital signs, and lab results, healthcare professionals can detect early warning signs of sepsis and initiate treatment promptly.

  2. Hace 5 días · Before reaching the hands of researchers, data goes through a process of collection, storage, representation, transformation and standardization, which are briefly summarized in Fig. 1. Fig. 1 ...

  3. 17 de jun. de 2024 · Big Data Analytics is transforming the healthcare industry by providing insights that improve patient outcomes, streamline operations, and drive innovation. Here are some key big data...

  4. 27 de jun. de 2024 · This paper aims to analyse the current literature on big data analytics in healthcare digital transformation and to provide a research agenda for scholars and guidance for practitioners on related research themes. In doing so, it will offer support on further development for researchers and accelerate adoption for practitioners. A systematic literature review was performed based on Brocke et al.

  5. 17 de jun. de 2024 · Safa, et al. (Safa et al. 2023) proposed a healthcare big data analytics model (HCBDA) for disease prediction. The HCBDA model utilizes wireless sensor networks and IoT devices to monitor patients' biosignals and generate medical assistance.

  6. 27 de jun. de 2024 · 314 views. Original Research. Published on 26 Jun 2024. MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain. Alaa Marshan. Anwar Nais Almutairi. Athina Ioannou. David Bell. Asmat Monaghan. Mahir Arzoky. Frontiers in Big Data. doi 10.3389/fdata.2024.1371680. 327 views. Original Research.

  7. 14 de jun. de 2024 · Big data analytics has transformed the healthcare industry, particularly in the context of the COVID-19 epidemic. Initially viewed as a challenge due to overwhelming volumes of data, big data has now become a critical tool in understanding and managing healthcare systems.