Titlebook: Artificial Intelligence and Machine Learning in Healthcare; Ankur Saxena,Shivani Chandra Book 2021 The Editor(s) (if applicable) and The A

嗎啡

Artificial Intelligence in Personalized Medicine,cannot maintain the modest outlay of the personalized medicine-centered treatment. Somehow, the accuracy of the medication and diagnosis using personalized medicine is lower when manualized than when involving artificial intelligence. Machine learning is one of the mostly used artificial intelligenc

G-spot

自愛

Transfer Learning in Biological and Health Care,tional machine learning makes a basic assumption that the distribution of training data and testing data should be the same. But in numerous real-world cases, this identical-distribution assumption of training data and testing data does not hold at all. For example, suppose if we have a model to rec

公共汽車

Visualization and Prediction of COVID-19 Using AI and ML,, such as the horticultural zone, the agricultural zone, the economic zone, the public transport market, and so on. We published an analysis that identified the effects of the global pandemic using next-generation technologies to see how COVID-19 affected the globe. Prediction is a standard exercise

FELON

Rct393

Criteria

確定方向

Bias in Medical Big Data and Machine Learning Algorithms,esults from several findings show that these algorithms have potential to gain negative impact on healthcare system as compared to the existing primitive healthcare systems which involve physicians. Current algorithms are accused of these deficiencies resulting from biased training data bearing nume

混合物

Carcinogen