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Data-Driven Approach for Bio-medical and Healthcare

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Data-Driven Approach for Bio-medical and Healthcare
Springer Nature Singapore

Table of Contents

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    Book Overview
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    Chapter 1 Personal Health Record Data-Driven Integration of Heterogeneous Data
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    Chapter 3 Personalizing the Patient Discharge Process and Follow-Up Using Machine Learning Algorithms, Assessment Questionnaires and Ontology Reasoning
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    Chapter 4 Explaining Decisions of Quantum Algorithm: Patient Specific Features Explanation for Epilepsy Disease
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    Chapter 5 Bioinformatics Study for Determination of the Binding Efficacy of Heme-Based Protein
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    Chapter 6 Growth Trend of Swine Flu and COVID-19 Pandemic Affected Patients Using Fuzzy Cellular Automata: A Study
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    Chapter 7 Data-Driven Approach Study for the Prediction and Detection of Infectious Disease Outbreak
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    Chapter 8 Design and Development of Interactive, Real-Time Dashboard to Understand COVID-19 Situation in Pune
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    Chapter 9 Analyzing the Impact of COVID-19 and Vaccination Using Machine Learning and ANN
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    Chapter 10 Development of Psychiatric COVID-19 CHATBOT Using Deep Learning
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    Chapter 11 Advanced Mathematical Model to Measure the Severity of Any Pandemics
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    Chapter 12 Semi-structured Patient Data in Electronic Health Record
Attention for Chapter 5: Bioinformatics Study for Determination of the Binding Efficacy of Heme-Based Protein
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Chapter title
Bioinformatics Study for Determination of the Binding Efficacy of Heme-Based Protein
Chapter number 5
Book title
Data-Driven Approach for Bio-medical and Healthcare
Published by
Springer, Singapore, October 2022
DOI 10.1007/978-981-19-5184-8_5
Book ISBNs
978-9-81-195183-1, 978-9-81-195184-8
Authors

Sahu, Satya Narayan, Mishra, Biswajit, Pattanayak, Subrat Kumar

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