Электронный каталог

Goraga, Zemelak.
    Data Science Project Ideas in Health Care / Zemelak Goraga. - [S. l.] : Zemelak Goraga, 2023. - 346, [3] p. - ISBN 979-8-223-79107-2 : Б. ц.

Рубрики: Медицина

Кл.слова (ненормированные):
DATA, SCIENCE
Аннотация: "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.
Экземпляры всего: 1
ФМШ (1)
Свободны: ФМШ (1)

Etzioni, Ruth.
    Statistics for Health Data Science: An Organic Approach / Ruth Etzioni. - [S. l.] : Springer, 2020. - 222 p. - ISBN 978-3-030-59891-4 : Б. ц.

Рубрики: Медицина

Кл.слова (ненормированные):
Statistics
Аннотация: Highly interdisciplinary - drawing from statistics, health services, economics, and informatics Goes beyond the formulas, explaining why different methods work, how to choose from among them, and how to avoid misinterpreting results - to create confident users of appropriate analytic methods Addresses topical questions such as data science versus statistics, prediction versus explanation Provides a wide range of analytic and regression-type models specific to research questions about health care use and costs of care In-depth discussion on selection bias in observational data methods for inferring causality Supplementary Material Includes: Code and data for all examples and model analyses, Code for data processing and analysis, Code segments for simulation models
Доп.точки доступа:
Mandel, Micha

Свободных экз. нет

    Healthcare Quality and HIT - international Standards, China Practices / edited by Jilan Liu. - [S. l. : s. n.], 2023. - 481 p. - ISBN 978-1-03-257054-9 : Б. ц.

Рубрики: Медицина

Доп.точки доступа:
Liu, Jilan \edited by.\

Экземпляры всего: 1
ФМШ (1)
Свободны: ФМШ (1)

Шифр: J034097372 ()

Journal of Epidemiology and Public Health [Текст]. - [S. l. : s. n.]. - ISSN 2549-0273
Зарегистрированы поступления:
2023 

     2023: Том 08, № 4