Vor Ort
Merkzettel Warenkorb
Produktbild: Data Science in Healthcare
Vorbesteller Neu

Data Science in Healthcare A Complete Guide

75,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.07.2026

Abbildungen

schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Verlag

Taylor & Francis

Seitenzahl

262

Maße (L/B/H)

23,4/15,6/1,4 cm

Gewicht

373 g

Sprache

Englisch

ISBN

978-1-03-278606-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.07.2026

Abbildungen

schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Verlag

Taylor & Francis

Seitenzahl

262

Maße (L/B/H)

23,4/15,6/1,4 cm

Gewicht

373 g

Sprache

Englisch

ISBN

978-1-03-278606-3

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Data Science in Healthcare

  • Part I: An Introduction to Data Science
    1. Brief History
    2. Data Science in Medicine
    3. Data Science for Clinical Practice
    4. Data Science and Application Use
    5. Human Factors and Data Science
    6. Case Study

    Part II: Data Science and Artificial Intelligence
    7. Introduction to AI
    8. Machine Learning and Model Development
    9. Deep Learning and Model Development
    10. Algorithm Development as Clinical Decision Making Tools
    11. Evidence-Based Medicine Methods to Model Data Science
    12. Clinical Trials for AI Tools
    13. Developing AI as Effectiveness Tools
    14. The Use of Big Data and Data Platforms
    15. Case Study
    Part III: Ethical Implications and Social Policy
    16. Introduction to Data Science and Ethics
    17. Ethical Issues and Legislation Development
    18. Patient-Public Involvement and Engagement
    19. Data Science and Social Policy
    20. Case Study
    Part IV: Medical Statistics
    21. Introduction to Medical Statistics
    22. Epidemiology Model Development
    23. Epidemiology Model Validation and their Constraints in Medicine
    24. Epidemiology Models for Data Augmentation
    25. Synthetic Data Development and Modelling
    26. Introduction to Clinical Trial Statistics
    27. Gaussian Methodology and Application in Clinical Epidemiology
    28. Bayesian Methodology and Application in Clinical Epidemiology
    29. Case Study

    Part V: Application Development Using Data Science
    30. Digital Medicine Tool Development
    31. Mobile Applications as Clinician Decision Aids
    32. Real-World Data Tool for Real-Time Data Gathering
    33. Precision Medicine Tool for Predicting Outcomes
    34. Software Development Using Data Science Principles
    35. Simulation Tools for Medical Education
    36. Robotic Surgery Using Data Applications
    37. Cognitive Performance Applications
    38. Case Study

    Part VI: Governance and Regulatory Approvals
    39. Quality Assurance, Quality Control, and Quality Management
    40. Quality Indicators and Continuous Improvement
    41. Research Governance
    42. Data Codes of Practice and Frameworks
    43. Developing Data Governance and Regulatory Frameworks
    44. Audits and Regulatory Inspection Preparation
    45. Case Study