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Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms

Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms

work has systematically analyzed the influence of the components in this study—we show that these greatly influence retrieval effectiveness and, thus, delivery of relevant and understandable health advice.Related WorkUnderstandability refers to the ease of comprehension

Joao Palotti, Guido Zuccon, Allan Hanbury

J Med Internet Res 2019;21(1):e10986


Assessing the Readability of Medical Documents: A Ranking Approach

Assessing the Readability of Medical Documents: A Ranking Approach

Therefore, a binary classification SVM optimizer can be used to solve the problem.In our dataset, we generated pairwise difference vectors x′ from each AMT user’s ratings.

Jiaping Zheng, Hong Yu

JMIR Med Inform 2018;6(1):e17


Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data

Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data

The first dataset was used to develop and test machine learning models, and the second was used to conduct external validation of developed models.To develop and test machine learning models, we used a sample cohort of national health check-up programs [2,14

Jaram Park, Jeong-Whun Kim, Borim Ryu, Eunyoung Heo, Se Young Jung, Sooyoung Yoo

J Med Internet Res 2019;21(2):e11757


Readability Formulas and User Perceptions of Electronic Health Records Difficulty: A Corpus Study

Readability Formulas and User Perceptions of Electronic Health Records Difficulty: A Corpus Study

A recent patient survey on Web-based access to laboratory results concluded that test result comprehension still needed improvement [11].

Jiaping Zheng, Hong Yu

J Med Internet Res 2017;19(3):e59


Medication Adherence Prediction Through Online Social Forums: A Case Study of Fibromyalgia

Medication Adherence Prediction Through Online Social Forums: A Case Study of Fibromyalgia

These were the only predictors available in both MEPS and PatientsLikeMe.As previously mentioned, typical machine learning models rely on a dataset from a single domain for training and validation.

Kyle Haas, Zina Ben Miled, Malika Mahoui

JMIR Med Inform 2019;7(2):e12561


Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach

Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach

Nonetheless, a well-designed rule-based system can achieve good performance on cohort selection even with a small training dataset [36], which remains a problem associated with supervised machine learning approaches.

Irena Spasic, Dominik Krzeminski, Padraig Corcoran, Alexander Balinsky

JMIR Med Inform 2019;7(4):e15980