Machine Learning in Pandemic Scenarios: Reducing Hospitalizations by 30%
Friday, 13 September 2024, 08:00
Machine Learning as a Key to Hospitalization Reduction
A recent study has showcased the potential of machine learning in drastically decreasing hospitalizations by almost 30% during pandemic scenarios. This technology provides healthcare providers with tools to allocate medical treatments more effectively, especially during periods of therapeutic shortages.
How Machine Learning Works in Healthcare
- Data Analysis: Employing algorithms to analyze patient data rapidly.
- Predictive Modelling: Forecasting patient outcomes to tailor treatments.
- Resource Allocation: Optimizing the distribution of limited healthcare resources during crisis times.
Adopting machine learning can result in significant healthcare improvements, particularly in managing patients during overwhelming circumstances like pandemics.
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.