Data-Driven Reproductive Health

Author	: Abhishek Sengupta
Publisher	: Springer Nature
Total Pages	: 235
Release	:
ISBN-10	: 9789819774517
ISBN-13	: 9819774519
Rating	: 4/5 (519 Downloads)

DOWNLOAD EBOOK

Book Synopsis Data-Driven Reproductive Health by : Abhishek Sengupta

Download or read book Data-Driven Reproductive Health written by Abhishek Sengupta and published by Springer Nature. This book was released on with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-Driven Reproductive Health Related Books

Language: en
Pages: 471

Leveraging Data Science for Global Health

Authors: Leo Anthony Celi

Categories: Medical

Type: BOOK - Published: 2020-07-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constra

Language: en
Pages: 235

Data-Driven Reproductive Health

Authors: Abhishek Sengupta

Categories:

Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Language: en
Pages: 247

Self-Tracking

Authors: Gina Neff

Categories: Technology & Engineering

Type: BOOK - Published: 2016-06-24 - Publisher: MIT Press

DOWNLOAD EBOOK

What happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking. People keep track

Language: en
Pages: 369

Birth Settings in America

Authors: National Academies of Sciences, Engineering, and Medicine

Categories: Social Science

Type: BOOK - Published: 2020-05-01 - Publisher: National Academies Press

DOWNLOAD EBOOK

The delivery of high quality and equitable care for both mothers and newborns is complex and requires efforts across many sectors. The United States spends more

Language: en
Pages: 324

ASA 2022 Data-Driven Decision Making

Authors: Enrico di Bella

Categories: Mathematics

Type: BOOK - Published: 2023-07-04 - Publisher: Firenze University Press

DOWNLOAD EBOOK

This volume collects the contributions presented at the conference “Data-driven Decision Making” organized by the Italian Association for Applied Statistics