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Rapid COVID-19 Screening Based on Self-Reported Symptoms: Psychometric Assessment and Validation of the EPICOVID19 Short Diagnostic Scale

Diagnosing Chronic Obstructive Airway Disease on a Smartphone Using Patient-Reported Symptoms and Cough Analysis: Diagnostic Accuracy Study

Diagnosing Chronic Obstructive Airway Disease on a Smartphone Using Patient-Reported Symptoms and Cough Analysis: Diagnostic Accuracy Study

We propose that the best use of an algorithm for screening is in a scenario in which patients present to a health care facility with symptoms, as this has a higher pretest probability of case detection.We previously demonstrated high diagnostic agreement of

Paul Porter, Scott Claxton, Joanna Brisbane, Natasha Bear, Javan Wood, Vesa Peltonen, Phillip Della, Fiona Purdie, Claire Smith, Udantha Abeyratne

JMIR Form Res 2020;4(11):e24587


Microwave Breast Imaging Using Rotational Bistatic Impulse Radar for the Detection of Breast Cancer: Protocol for a Prospective Diagnostic Study

Microwave Breast Imaging Using Rotational Bistatic Impulse Radar for the Detection of Breast Cancer: Protocol for a Prospective Diagnostic Study

Therefore, we aim to determine the diagnostic performance of our in-house bistatic radar–based detector with patients with breast cancer or those with benign breast tumors.PurposeThis study has 3 major goals.

Shinsuke Sasada, Norio Masumoto, Hang Song, Akiko Emi, Takayuki Kadoya, Koji Arihiro, Takamaro Kikkawa, Morihito Okada

JMIR Res Protoc 2020;9(10):e17524


Predictive Factors for Anastomotic Leakage After Colorectal Surgery: Study Protocol for a Prospective Observational Study (REVEAL Study)

Predictive Factors for Anastomotic Leakage After Colorectal Surgery: Study Protocol for a Prospective Observational Study (REVEAL Study)

(MBL), an important complement factor of the immune system, respond differently to intestinal damage [24].In the pilot study mentioned previously, it was shown that a combination of C-reactive protein (CRP) and calprotectin levels in plasma provides high diagnostic

Audrey CHM Jongen, Joanna WAM Bosmans, Serdar Kartal, Tim Lubbers, Meindert Sosef, Gerrit D Slooter, Jan H Stoot, Frederik-Jan van Schooten, Nicole D Bouvy, Joep PM Derikx

JMIR Res Protoc 2016;5(2):e90


A Human-Algorithm Integration System for Hip Fracture Detection on Plain Radiography: System Development and Validation Study

A Human-Algorithm Integration System for Hip Fracture Detection on Plain Radiography: System Development and Validation Study

The diagnostic standard was based on all the available clinical information, including clinical diagnosis, imaging reports, advanced imaging reports, and operative findings.

Chi-Tung Cheng, Chih-Chi Chen, Fu-Jen Cheng, Huan-Wu Chen, Yi-Siang Su, Chun-Nan Yeh, I-Fang Chung, Chien-Hung Liao

JMIR Med Inform 2020;8(11):e19416


Identifying Ectopic Pregnancy in a Large Integrated Health Care Delivery System: Algorithm Validation

Identifying Ectopic Pregnancy in a Large Integrated Health Care Delivery System: Algorithm Validation

to identify EPs in the two health care systems through several iterative steps: First, we incorporated corresponding ICD-10 diagnostic and procedure codes that were not in use when the Scholes et al algorithm was developed in 2011.

Darios Getahun, Jiaxiao M Shi, Malini Chandra, Michael J Fassett, Stacey Alexeeff, Theresa M Im, Vicki Y Chiu, Mary Anne Armstrong, Fagen Xie, Julie Stern, Harpreet S Takhar, Alex Asiimwe, Tina Raine-Bennett

JMIR Med Inform 2020;8(11):e18559


Cardiac Auscultation Using Smartphones: Pilot Study

Cardiac Auscultation Using Smartphones: Pilot Study

The study tested (1) whether heart sound recording using a smartphone is feasible, and (2) whether an automated diagnostic algorithm can classify heart sounds with acceptable accuracy.

Si-Hyuck Kang, Byunggill Joe, Yeonyee Yoon, Goo-Yeong Cho, Insik Shin, Jung-Won Suh

JMIR Mhealth Uhealth 2018;6(2):e49


Mobile Phone–Based Use of the Photoplethysmography Technique to Detect Atrial Fibrillation in Primary Care: Diagnostic Accuracy Study of the FibriCheck App

Mobile Phone–Based Use of the Photoplethysmography Technique to Detect Atrial Fibrillation in Primary Care: Diagnostic Accuracy Study of the FibriCheck App

The aim of this study was to test the diagnostic accuracy of such an approach using the FibriCheck mobile phone app (Qompium) in comparison with the gold standard method of AF diagnosis, the 12‑lead ECG.MethodsStudy DesignThis diagnostic accuracy study was

Tine Proesmans, Christophe Mortelmans, Ruth Van Haelst, Frederik Verbrugge, Pieter Vandervoort, Bert Vaes

JMIR Mhealth Uhealth 2019;7(3):e12284


Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study

Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study

Therefore, this study’s goal was to develop and validate an electronic health record–based fall detection algorithm (using the given German-language electronic health record systems), then to test its diagnostic accuracy against manual chart review and patients

Elisa Dolci, Barbara Schärer, Nicole Grossmann, Sarah Naima Musy, Franziska Zúñiga, Stefanie Bachnick, Michael Simon

J Med Internet Res 2020;22(9):e19516