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The importance of big data for healthcare and its usage in clinical statistics of cardiovascular disease.

  • 2025-07-28 20:30:06

Abstract

In the era of technological trends, large statistics have been broadly carried out in diverse businesses, especially healthcare. An extensive amount of data has unfolded new gaps in fitness care. The immense facts in healthcare have the capability to improve healthcare to a higher level. Large records can correctly lessen healthcare problems such as the selection of the appropriate remedy, solution for healthcare, and enhancing the healthcare machine. There are six defining attributes in large data, namely, extent, range, speed, veracity, variability and complexity, and value. Massive information represents an expansion of possibilities that could enhance the performance of healthcare. The large data in healthcare should help in the advanced use of massive data analytics to gain valuable know-how. This large information analytics is used to get valuable facts from all types of sources in healthcare that may be used to take advantage of the data in order to make better choice in healthcare. The massive information analytics can enhance healthcare by discovering institutions and expertise styles and trends in scientific facts. Cardiovascular disorder datasets are massive data in healthcare, and they are used as part of facilitating the system of documenting scientific facts that must be analyzed to offer powerful answers to troubles in fitness care. This paper offers valuable statistics by using massive information analytics from clinical statistics of cardiovascular disease to provide convincing answers for the troubles in healthcare and also to indicate how huge information is essential for healthcare.

Collaboration

    SDGs

    Good Health and well-being

    Categories

      Types

      • Internal

      Publication Group

      • Journal Article

      Tanggal Publikasi

      01/01/2022

      Tahun

      2022

      DOI/ISSN Jurnal/Link

      10.47750/jptcp.2022.974

      Authors

      • Andi Kurniawan

      • Johanes Fernandes Andry

      • Glisina Dwinoor Rembulan

      • Antonius Rianto

      • Hendy Tannady

      Author Affiliations

      • Dr. Eng. Niki Prastomo

      • Fahmy Rinanda Saputri

      • Ronaldo Ismael

      Source Title

      Journal of Population Therapeutics and Clinical Pharmacology

      Fields of Research (ANZSRC 2020)

      • 32 BIOMEDICAL AND CLINICAL SCIENCES

      • 3214 Pharmacology and pharmaceutical sciences


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