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Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study

Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study

In addition, inspired by the survey study by Zigomitros et al [62], we also included image data because an EHR is essentially a 2 D data matrix and thus could be viewed as a 2 D image and anonymized using statistical and computer vision techniques. Relational data [62] are the most common type of data. This category usually contains a fixed number of variables (ie, columns) and data records (ie, rows).

Zheming Zuo, Matthew Watson, David Budgen, Robert Hall, Chris Kennelly, Noura Al Moubayed

JMIR Med Inform 2021;9(10):e29871

Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records

Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records

A study by Rose et al [18] discussed the correlation between RBS and Hb A1c levels. Stanley et al [19] used a linear regression model for imputation of missing Hb A1c data. Their model calculates Hb A1c levels for patient records with missing Hb A1c values as continuous and categorical values and uses 4 predictors extracted from an EHR system—RBS, FBS, age, and gender—as predictors to calculate the level of Hb A1c for a diabetic population.

Zakhriya Alhassan, Matthew Watson, David Budgen, Riyad Alshammari, Ali Alessa, Noura Al Moubayed

JMIR Med Inform 2021;9(5):e25237

Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm

Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm

A study by Huang et al [12] showed that patients with Hb A1c levels of 5.7% to 6.5% are likely to develop diabetes in 2.49 years. Not only that, but the trend of the Hb A1c test has been shown to be an important factor for predicting mortality for patients with T2 DM [13]. Furthermore, nondiabetic people with an elevated Hb A1c level have an increased risk of cardiovascular disease [9,14].

Zakhriya Alhassan, David Budgen, Riyad Alshammari, Noura Al Moubayed

JMIR Med Inform 2020;8(7):e18963