Leveraging Data Science for Global Health

دانلود کتاب Leveraging Data Science for Global Health

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کتاب استفاده از علم داده برای سلامت جهانی نسخه زبان اصلی

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توضیحاتی در مورد کتاب Leveraging Data Science for Global Health

نام کتاب : Leveraging Data Science for Global Health
ویرایش : 1st ed.
عنوان ترجمه شده به فارسی : استفاده از علم داده برای سلامت جهانی
سری :
نویسندگان : , , , , ,
ناشر : Springer International Publishing;Springer
سال نشر : 2020
تعداد صفحات : 471
ISBN (شابک) : 9783030479930 , 9783030479947
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 14 مگابایت



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Front Matter ....Pages i-xii
Front Matter ....Pages 1-1
Health Information Technology as Premise for Data Science in Global Health: A Discussion of Opportunities and Challenges (Louis Agha-Mir-Salim, Raymond Francis Sarmiento)....Pages 3-15
An Introduction to Design Thinking and an Application to the Challenges of Frail, Older Adults (Tony Gallanis)....Pages 17-33
Developing Local Innovation Capacity to Drive Global Health Improvements (Christopher Moses)....Pages 35-54
Building Electronic Health Record Databases for Research (Lucas Bulgarelli, Antonio Núñez-Reiz, Rodrigo Octavio Deliberato)....Pages 55-64
Funding Global Health Projects (Katharine Morley, Michael Morley, Andrea Beratarrechea)....Pages 65-75
From Causal Loop Diagrams to System Dynamics Models in a Data-Rich Ecosystem (Gary Lin, Michele Palopoli, Viva Dadwal)....Pages 77-98
Workshop on Blockchain Use Cases in Digital Health (Philip Christian C. Zuniga, Rose Ann C. Zuniga, Marie Jo-anne Mendoza, Ada Angeli Cariaga, Raymond Francis Sarmiento, Alvin B. Marcelo)....Pages 99-107
Front Matter ....Pages 109-109
Applied Statistical Learning in Python (Calvin J. Chiew)....Pages 111-128
Machine Learning for Patient Stratification and Classification Part 1: Data Preparation and Analysis (Cátia M. Salgado, Susana M. Vieira)....Pages 129-150
Machine Learning for Patient Stratification and Classification Part 2: Unsupervised Learning with Clustering (Cátia M. Salgado, Susana M. Vieira)....Pages 151-168
Machine Learning for Patient Stratification and Classification Part 3: Supervised Learning (Cátia M. Salgado, Susana M. Vieira)....Pages 169-198
Machine Learning for Clinical Predictive Analytics (Wei-Hung Weng)....Pages 199-217
Robust Predictive Models in Clinical Data—Random Forest and Support Vector Machines (Siqi Liu, Hao Du, Mengling Feng)....Pages 219-228
Introduction to Clinical Natural Language Processing with Python (Leo Anthony Celi, Christina Chen, Daniel Gruhl, Chaitanya Shivade, Joy Tzung-Yu Wu)....Pages 229-250
Introduction to Digital Phenotyping for Global Health (Olivia Mae Waring, Maiamuna S. Majumder)....Pages 251-261
Medical Image Recognition: An Explanation and Hands-On Example of Convolutional Networks (Dianwen Ng, Mengling Feng)....Pages 263-284
Biomedical Signal Processing: An ECG Application (Chen Xie)....Pages 285-303
Front Matter ....Pages 305-305
A Practical Approach to Digital Transformation: A Guide to Health Institutions in Developing Countries (Alvin B. Marcelo)....Pages 307-314
Establishing a Regional Digital Health Interoperability Lab in the Asia-Pacific Region: Experiences and Recommendations (Philip Christian C. Zuniga, Susann Roth, Alvin B. Marcelo)....Pages 315-327
Mbarara University of Science and Technology (MUST) (Richard Kimera, Fred Kaggwa, Rogers Mwavu, Robert Mugonza, Wilson Tumuhimbise, Gloria Munguci et al.)....Pages 329-350
Data Integration for Urban Health (Yuan Lai, David J. Stone)....Pages 351-363
Ethics in Health Data Science (Yvonne MacPherson, Kathy Pham)....Pages 365-372
Data Science in Global Health—Highlighting the Burdens of Human Papillomavirus and Cervical Cancer in the MENA Region Using Open Source Data and Spatial Analysis (Melek Somai, Sylvia Levy, Zied Mhirsi)....Pages 373-382
Front Matter ....Pages 383-383
A Digital Tool to Improve Patient Recruitment and Retention in Clinical Trials in Rural Colombia—A Preliminary Investigation for Cutaneous Leishmaniasis Research at Programa de Estudio y Control de Enfermedades Tropicales (PECET) (James Alexander Little, Elizabeth Harwood, Roma Pradhan, Suki Omere)....Pages 385-395
A Data-Driven Approach for Addressing Sexual and Reproductive Health Needs Among Youth Migrants (Pragati Jaiswal, Amber Nigam, Teertha Arora, Uma Girkar, Leo Anthony Celi, Kenneth E. Paik)....Pages 397-416
Yellow Fever in Brazil: Using Novel Data Sources to Produce Localized Policy Recommendations (Shalen De Silva, Ramya Pinnamaneni, Kavya Ravichandran, Alaa Fadaq, Yun Mei, Vincent Sin)....Pages 417-428
Sana.PCHR: Patient-Controlled Electronic Health Records for Refugees (Patrick McSharry, Andre Prawira Putra, Rachel Shin, Olivia Mae Waring, Maiamuna S. Majumder, Ned McCague et al.)....Pages 429-441
Using Non-traditional Data Sources for Near Real-Time Estimation of Transmission Dynamics in the Hepatitis-E Outbreak in Namibia, 2017–2018 (Michael Morley, Maiamuna S. Majumder, Tony Gallanis, Joseph Wilson)....Pages 443-452
Building a Data Science Program Through Hackathons and Informal Training in Puerto Rico (Patricia Ordóñez Franco, María Eglée Pérez Hernández, Humberto Ortiz-Zuazaga, José García Arrarás)....Pages 453-467
Back Matter ....Pages 469-475




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