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Albert Park, Shu-Hong Zhu, Mike Conway
JMIR Public Health Surveill 2017;3(1):e1Download Citation: END BibTex RIS
Implementing mHealth Apps for Child Developmental Screenings: Opportunities and Challenges
Human-Centered ComputingSchool of Informatics and ComputingIndiana University–Purdue University IndianapolisIndianapolis, INUnited States2School of MedicineIndiana UniversityIndianapolis, INUnited States3BabyNogginSan Francisco, CAUnited StatesCorresponding Author: AndrewAndrew Miller, Katie Swec, Sarah Watkins, Elizabeth Chen, Alison Paul, Jordan Huskins, Jin Lee, Nerissa Bauer
iproc 2018;4(2):e11787Download Citation: END BibTex RIS

Readability of Wikipedia Pages on Autoimmune Disorders: Systematic Quantitative Assessment
We analyzed Wikipedia articles for their overall level of readability using 6 different quantitative readability scales: (1) the Flesch Reading Ease, (2) the Gunning Fog Index, (3) the Coleman-Liau Index, (4) the Flesch-Kincaid Grade Level, (5) the AutomatedAbdulla Watad, Nicola Luigi Bragazzi, Francesco Brigo, Kassem Sharif, Howard Amital, Dennis McGonagle, Yehuda Shoenfeld, Mohammad Adawi
J Med Internet Res 2017;19(7):e260Download Citation: END BibTex RIS

Laura Saslow, Ashely E. Mason, Sarah Kim, Veronica Goldman, Robert Ploutz-Snyder, Hovig Bayandorian, Jennifer Daubenmier, Frederick M. Hecht, Judith T. Moskowitz
J Med Internet Res 2018;20(5):e181Download Citation: END BibTex RIS
Wikipedia in Vascular Surgery Medical Education: Comparative Study
The Flesch Reading Ease score was used to measure reading ease, and the grade levels of each article were determined using 5 different scoring systems—Flesch-Kincaid Grade Level, Gunning Fog Index, Coleman-Liau Index, Simple Measure of Gobbledygook (SMOG) IndexMichael Yacob, Shamim Lotfi, Shannon Tang, Prasad Jetty
JMIR Med Educ 2020;6(1):e18076Download Citation: END BibTex RIS
Ramya Palacholla, Nils Fischer, Amanda Coleman, Stephen Agboola, Jennifer Felsted, Kate Kirley, Chelsea Katz, Stacy Lloyd, Kamal Jethwani
iproc 2018;4(2):e11904Download Citation: END BibTex RIS

Hemakumar Devan, Devin Farmery, Lucy Peebles, Rebecca Grainger
JMIR Mhealth Uhealth 2019;7(2):e13080Download Citation: END BibTex RIS

Sara Fernandes-Taylor, Rebecca L Gunter, Kyla M Bennett, Lola Awoyinka, Shahrose Rahman, Caprice C Greenberg, K Craig Kent
JMIR Res Protoc 2017;6(2):e26Download Citation: END BibTex RIS

Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference
Photo credit: Andrew Zimolzak.Figure 2Critical Data poster session.Omar Badawi, Thomas Brennan, Leo Anthony Celi, Mengling Feng, Marzyeh Ghassemi, Andrea Ippolito, Alistair Johnson, Roger G Mark, Louis Mayaud, George Moody, Christopher Moses, Tristan Naumann, Vipan Nikore, Marco Pimentel, Tom J Pollard, Mauro Santos, David J Stone, Andrew Zimolzak, MIT Critical Data Conference 2014 Organizing Committee
JMIR Med Inform 2014;2(2):e22Download Citation: END BibTex RIS

Mobile Health Apps in OB-GYN-Embedded Psychiatric Care: Commentary
Namely, it will use the following psychiatric scales: Edinburgh Postnatal Depression Scale (EPDS), the Life Events Checklist for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (LEC-5) Trauma Scale, and the Andrew Cherry-Oklahoma Co-OccurringAydan Mehralizade, Shayna Schor, Chad M Coleman, Claire E Oppenheim, Christy A Denckla, Christina PC Borba, David C Henderson, James Wolff, Sarah Crane, Pamela Nettles-Gomez, Avik Pal, Snezana Milanovic
JMIR Mhealth Uhealth 2017;5(10):e152Download Citation: END BibTex RIS