Artificial Intelligence and Machine Learning for Healthcare: Vol. 2: Emerging Methodologies and Trends
Title Statements
- Full title :Artificial Intelligence and Machine Learning for Healthcare : Vol. 2: Emerging Methodologies and Trends.
Edition Statements
- Publication Date:©2023.
Publication Statements
- Publisher(s):Springer International Publishing AG
- Place of Publication:Cham
- Language:eng
- Publication Date:©2023.
The Physical Object
- Description:1 online resource (282 pages).
Edition Identifiers
- ISBN:9783031111709, 3031111702
- oclc:on1349949486
- LC Classification:R858-859.7
Table of Contents
Intro -- Preface -- Contents -- 1 Artificial Intelligence for the Future of Medicine -- 1.1 Introduction -- 1.2 How Do Machines Learn? -- 1.2.1 Machine Learning Process -- 1.2.2 Machine Learning in Medicine -- 1.3 Artificial Intelligence in Medicine -- 1.4 AI Applications in Medicine -- 1.4.1 Predictive Medicine -- 1.4.2 Participatory Medicine -- 1.4.3 Personalized Medicine -- 1.4.4 Preventive Medicine -- 1.5 Summary -- References -- 2 A Survival Analysis Guide in Oncology -- 2.1 Introduction -- 2.2 Survival Analysis -- 2.3 Kaplan-Meier Survival Curve -- 2.4 The Logrank Test -- 2.5 The Hazard Ratio -- 2.5.1 Cox Regression Model -- 2.6 Conclusions -- References -- 3 Social Media Sentiment Analysis Related to COVID-19 Vaccinations -- 3.1 Introduction -- 3.2 Literature Review -- 3.2.1 Machine Learning-Based Sentiment Analysis Studies -- 3.2.2 Lexicon-Based Sentiment Analysis Studies -- 3.2.3 Hybrid Sentiment Analysis Studies -- 3.3 Methodology -- 3.3.1 Methodology Outline -- 3.4 Experiments -- 3.4.1 Dataset -- 3.4.2 Dataset Pre-Processing -- 3.4.3 Sentiment Analysis -- 3.5 Experimental Results -- 3.6 Conclusion -- 3.6.1 Discussion -- 3.6.2 Overview of Contribution -- 3.6.3 Future Dir…
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