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Pedestrian Inattention Blindness While Playing Pokémon Go as an Emerging Health-Risk Behavior: A Case Report

As reported by several authors, mobile phone-related injuries among pedestrians lead to increased morbidity due to distracted attention and unsafe behavior during their use, and users risk serious injury, falls, collisions with obstacles, or even death [8,9

Stefania Barbieri, Gianna Vettore, Vincenzo Pietrantonio, Rossella Snenghi, Alberto Tredese, Mauro Bergamini, Sara Previato, Armando Stefanati, Rosa Maria Gaudio, Paolo Feltracco

J Med Internet Res 2017;19(4):e86

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The Washington Code of e-Health ethics and other ethical codes

Ahmad Risk

J Med Internet Res 2000;2(suppl2):e3

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A Social Media-Based Acute Alcohol Consumption Behavior (NekNomination): Case Series in Italian Emergency Departments

external cues that dictate participants’ alcohol consumption (eg, media games such as drinking each time a character on television says a certain word or phrase).Drinking games inevitably promote heavy alcohol consumption [2] and, compared with other high-risk

Stefania Barbieri, Paolo Feltracco, Vittorio Lucchetta, Rosa Maria Gaudio, Alberto Tredese, Mauro Bergamini, Gianna Vettore, Vincenzo Pietrantonio, Francesco Maria Avato, Daniele Donato, Deris Gianni Boemo, Maria Vittoria Nesoti, Rossella Snenghi

Interact J Med Res 2018;7(1):e2

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e-Health Code of Ethics (May 24)

Helga Rippen, Ahmad Risk

J Med Internet Res 2000;2(2):e9

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Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

The qualitative descriptions of the risk calculator were used to develop a framework for quantitative data extraction (risk model, risk result, and presence/absence of risk communication formats), after which an individual researcher (MF) conducted the basic

Carissa Bonner, Michael Anthony Fajardo, Samuel Hui, Renee Stubbs, Lyndal Trevena

J Med Internet Res 2018;20(2):e29

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The Aachen Falls Prevention Scale: Multi-Study Evaluation and Comparison

In the event that a potential risk is identified, further functional or multifactorial case risk assessment measures are applied.

Peter Rasche, Verena Nitsch, Lars Rentemeister, Mark Coburn, Benjamin Buecking, Christopher Bliemel, Leo Cornelius Bollheimer, Hans-Christoph Pape, Matthias Knobe

JMIR Aging 2019;2(1):e12114

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Improving Exposure Assessment Methodologies for Epidemiological Studies on Pesticides: Study Protocol

to pesticides as it is difficult to accommodate all these factors in a modeled assessment.

Kate Jones, Ioannis Basinas, Hans Kromhout, Martie van Tongeren, Anne-Helen Harding, John W Cherrie, Andrew Povey, Zulkhairul Naim Sidek Ahmad, Samuel Fuhrimann, Johan Ohlander, Roel Vermeulen, Karen S Galea

JMIR Res Protoc 2020;9(2):e16448

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Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records

In our previous work [21], we have developed a statistical risk stratification model to predict attempt of suicide risk based on EMR data and the model performance was found to be better than clinical predictions based on an 18-point risk assessment instrument

Chandan Karmakar, Wei Luo, Truyen Tran, Michael Berk, Svetha Venkatesh

JMIR Ment Health 2016;3(3):e19

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Comment on: Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

I am writing regarding the systematic review about clinical validity, understandability, and actionability of online cardiovascular disease (CVD) risk calculators recently published by Dr Bonner and colleagues [1].Although Dr Bonner and colleagues used a comprehensive

Ivan Sisa

J Med Internet Res 2018;20(3):e10093

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What Is My Cancer Risk? How Internet-Based Cancer Risk Assessment Tools Communicate Individualized Risk Estimates to the Public: Content Analysis

IntroductionMany laypeople obtain individualized cancer risk estimates from Internet-based risk assessment tools.

Erika A. Waters, Helen W. Sullivan, Wendy Nelson, Bradford W. Hesse

J Med Internet Res 2009;11(3):e33

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