THE APPLICATIONS OF MACHINE LEARNING IN HEALTH CARE(MEDICAL MICROBIOLOGY)
Keywords: Pybact, machine learning, ARPCM
TL;DR: The paper highlights the importance of machine learning. We look at two different softwares coded using machine learning techniques, one to identify bacteria and another to predict the resistance of microbes.
Abstract: In the last decade, machine learning((ML), gained significant momentum in health care, especially for advanced diagnostics and improved patient care. Machine learning is an application of artificial intelligence (AI) that provides computer based systems with the ability to automatically learn and improve from experience without being explicitly programmed. The basic premise of machine learning is to build models that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available. The models are coded in different programming languages including ; python, r and java just to mention a few. However, for most African countries, resource scarcity is a challenge although the technology has proved to be of immense potential and also crucial for addressing the unique challenges faced by the continent.
Submission Category: Machine learning algorithms
Submission Number: 84
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