Healthcare Predictions Using Machine Learning and Artificial Intelligence Algorithms
Keywords:
CNN, Sensitivity Analysis algorithm, Machine Learning, AI, Healthcare.Abstract
Machine Learning (ML) combined with Artificial Intelligence (AI) are essential implements for enhancing medical care. Medical problems such as pulse rate, respiratory rate, oxygen level, blood pressure, falls, diabetes level, human body temperature and diagnosis blunders are prominent adverse occurrences in healthcare. This proposal aimed to employed AI's ability besides machine learning improve patient care in this eight high-risk areas to predict, avoid, or diagnose undesirable outcomes. Healthcare-associated Infections to determine if AI can improve safety, the literature was analyzed regarding incidence, cost, prevention, and treatment. The paper included 100 different samples, provided numerous cases of how intelligence was used in all eight damage categories. In several fields, AI and new data sources can help reduce damage rates. The proposed achieved 81% accuracy in diagnosing the tested cases. The treatment plan’s reliability rate increased to 91% compared to the traditional treatment by the doctor to 58%. So, it includes adverse medication effects, hypertension, and diagnostics errors to mention several.
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