Machine Learning Applications in Pandemic Emergency Medicine and Public Health

Saturday, 14 September 2024, 00:37

Machine learning plays a crucial role in managing pandemics by optimizing treatment allocation. During the covid-19 pandemic, innovative strategies utilizing machine learning allowed healthcare systems to allocate *monoclonal antibodies* more effectively, enhancing patient outcomes. This research highlights the importance of such technologies in emergency medicine and overall public health.
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Machine Learning Applications in Pandemic Emergency Medicine and Public Health

Machine Learning's Role in Improving Health Care During Pandemics

As the covid-19 pandemic unfolded, health care systems faced unprecedented challenges. The use of machine learning to manage resources emerged as a promising tactic. This technology assists in prioritizing treatments like monoclonal antibodies, particularly when *therapeutics* are in short supply. Implementing these systems can significantly enhance patient care in hospitals.

Advantages of AI in Treatment Allocation

  • Optimizes resource distribution in times of need.
  • Reduces strain on health care facilities.
  • Enhances patient outcomes through timely intervention.

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This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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