Artificial Intelligence Techniques to Predict the Infectious Diseases: Open Challenges and Research Issues

Kavita Thakur, M. Kaur, Yogesh Kumar
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Abstract

Infectious diseases are still the most significant cause of death and disease across the globe. Encounter a pathogen causes infectious diseases. Bacteria, viruses, fungi, protozoa, and helminthes have all been the main infectious agents. So, establishing an effective and efficient measure to tackle the threat of infectious illnesses becomes critical. As a result, artificial intelligence (AI) is becoming a valuable tool in healthcare. This document covers research on the most common approach to infectious illness prediction. The present advancements, challenges, and future opportunities for using Artificial Intelligence to detect and forecast infectious illnesses will be examined in this study. Previous research, methodology, datasets, factors, and performance indicators are all examined in this study.
预测传染病的人工智能技术:开放的挑战和研究问题
传染病仍然是全球范围内造成死亡和疾病的最主要原因。遇到病原体会引起传染病。细菌、病毒、真菌、原生动物和蠕虫都是主要的传染媒介。因此,建立一种有效和高效的措施来应对传染病的威胁变得至关重要。因此,人工智能(AI)正在成为医疗保健领域的一个有价值的工具。这份文件涵盖了传染病预测最常用方法的研究。本研究将探讨使用人工智能检测和预测传染病的目前进展、挑战和未来机遇。本研究检视以往的研究、方法、数据集、因素及绩效指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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