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Data Science Project Ideas, Methodology & Python Codes in Health Care - Zemelak Goraga - Bog

Bag om Data Science Project Ideas, Methodology & Python Codes 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 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9798223345251
  • Indbinding:
  • Paperback
  • Sideantal:
  • 356
  • Udgivet:
  • 25. november 2023
  • Størrelse:
  • 140x22x216 mm.
  • Vægt:
  • 502 g.
  • 2-3 uger.
  • 2. december 2024
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  • BLACK NOVEMBER

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Data Science Project Ideas, Methodology & Python Codes 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 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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