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Data Science Project Ideas in Health Care

Om Data Science Project Ideas in Health Care

"Data Science in Action: Project Ideas, Methodology, and Python Codes in Health Care" is a pioneering guide at the crossroads of technology and healthcare, unveiling the transformative potential of data science in revolutionizing patient care. Through a lens of practical implementation, this book explores diverse projects, ranging from ailment prediction and chronic disease management to behavioral health and drug discovery. The reader is guided through the intricacies of Python codes, ensuring hands-on proficiency in translating data science concepts into actionable insights. Each chapter unveils innovative applications, from predicting Alzheimer's disease progression to customizing diabetes management plans. With a focus on elder care and aging, the book presents projects designed to enhance the well-being of the elderly through adaptive technologies. This comprehensive resource is a beacon for data scientists, data analysts, students, professionals and enthusiasts, offering a roadmap to harness the power of data for a future where technology and empathy converge to redefine healthcare.

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  • Språk:
  • Engelska
  • ISBN:
  • 9798223791072
  • Format:
  • Häftad
  • Sidor:
  • 356
  • Utgiven:
  • 25. november 2023
  • Mått:
  • 140x21x216 mm.
  • Vikt:
  • 502 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 30. december 2024
Förlängd ångerrätt till 31. januari 2025

Beskrivning av Data Science Project Ideas in Health Care

"Data Science in Action: Project Ideas, Methodology, and Python Codes in Health Care" is a pioneering guide at the crossroads of technology and healthcare, unveiling the transformative potential of data science in revolutionizing patient care. Through a lens of practical implementation, this book explores diverse projects, ranging from ailment prediction and chronic disease management to behavioral health and drug discovery. The reader is guided through the intricacies of Python codes, ensuring hands-on proficiency in translating data science concepts into actionable insights. Each chapter unveils innovative applications, from predicting Alzheimer's disease progression to customizing diabetes management plans. With a focus on elder care and aging, the book presents projects designed to enhance the well-being of the elderly through adaptive technologies. This comprehensive resource is a beacon for data scientists, data analysts, students, professionals and enthusiasts, offering a roadmap to harness the power of data for a future where technology and empathy converge to redefine healthcare.

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