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

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书目名称Artificial Intelligence and Machine Learning in Healthcare影响因子(影响力)




书目名称Artificial Intelligence and Machine Learning in Healthcare影响因子(影响力)学科排名




书目名称Artificial Intelligence and Machine Learning in Healthcare网络公开度




书目名称Artificial Intelligence and Machine Learning in Healthcare网络公开度学科排名




书目名称Artificial Intelligence and Machine Learning in Healthcare被引频次




书目名称Artificial Intelligence and Machine Learning in Healthcare被引频次学科排名




书目名称Artificial Intelligence and Machine Learning in Healthcare年度引用




书目名称Artificial Intelligence and Machine Learning in Healthcare年度引用学科排名




书目名称Artificial Intelligence and Machine Learning in Healthcare读者反馈




书目名称Artificial Intelligence and Machine Learning in Healthcare读者反馈学科排名

addition

Artificial Intelligence in Personalized Medicine,garded in practicing an effective personalized medicine. Though machine learning is in the scenario of precision medicine first followed by personalized medicine, it still has to be accepted in the society for better development. This chapter gives an insight into how and where the artificial intelligence is used in the personalized medicine.

Microaneurysm

Book 2021science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artific

Jubilation

https://doi.org/10.1007/978-3-540-75276-9rous missing values, errors, and biased inputs. This is due to under- or over-representation of certain groups of data, trivial data curation methods, etc. In this chapter, we describe Perceptive Bias, Processing Bias, and the ways to compute bias for Medical Big Data analysis.

Odyssey

Standards and Protocols for Interoperability map simulation of COVID-19’s international expansion to date and estimate virus distribution throughout all regions and countries. Detailed overview of both region-wise and state-wise recorded events; forecast of a viral pandemic attack, deaths, and recovered cases; and the degree to which it is spreading globally are included in this chapter.

Sinus-Node

Visualization and Prediction of COVID-19 Using AI and ML, map simulation of COVID-19’s international expansion to date and estimate virus distribution throughout all regions and countries. Detailed overview of both region-wise and state-wise recorded events; forecast of a viral pandemic attack, deaths, and recovered cases; and the degree to which it is spreading globally are included in this chapter.

DEMUR

繁殖

Bias in Medical Big Data and Machine Learning Algorithms,rous missing values, errors, and biased inputs. This is due to under- or over-representation of certain groups of data, trivial data curation methods, etc. In this chapter, we describe Perceptive Bias, Processing Bias, and the ways to compute bias for Medical Big Data analysis.

prediabetes

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