Automated identification of miscoded and misclassified cases of ...

A simple computerized algorithm achieves very similar results to more complex search strategies to identify miscoded and misclassified cases of both Type 1 ...

Up to 35% of Type 1 diabetes and 0.1% of Type 2 diabetes were miscoded or misclassified on the basis of age/BMI and coding. False detection rate ...

(PDF) Automated identification of miscoded and misclassified cases ...

Miscoding was present in approximately 7.8% of the CONDUIT and 6.1% of QICKD diabetes records. The prevalence of miscoding, misclassification and misdiagnosis ...

Automated identification of miscoded and misclassified cases of ...

Automated identification of miscoded and misclassified cases of diabetes from computer records. A.-R. Sadek1, J. van Vlymen2, K. Khunti3 and ...

Automated identification of miscoded and misclassified cases of ...

To develop a computer processable algorithm, capable of running automated searches of routine data that flag miscoded and misclassified cases of diabetes ...

Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health ...

Even after mapping and updating codes to current ICD-10, the method would often fail and detect only obvious cases and discard uncertain cases.

Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health ...

Even after mapping and updating codes to current ICD-10, the method would often fail and detect only obvious cases and discard uncertain cases.

Prevalence and characteristics in coding, classification and ...

Investigation of automated algorithms to identify the prevalence of miscoding, misclassiﬁcation ... Automated identification of miscoded and misclassified cases ...

Automated Detection and Classification of Type 1 Versus Type 2 ...

In sum, we demonstrate the utility of EHR-based algorithms to detect and classify patients with diabetes. Integration of these algorithms into ...

Is diabetes mellitus correctly registered and classified in primary ...

Incorrect coding is categorised as misclassification (when the patient is falsely classified as a given type of DM), misdiagnosis (when the patient does not ...

Miscoding, misclassification and misdiagnosis of diabetes in primary ...

... 14 Misclassification of diabetes type is common when diagnostic codes alone are used to identify patients with T1DM and T2DM. 15 The first three steps of ...

A method of identifying and correcting miscoding, misclassification ...

A method of identifying and correcting miscoding, misclassification and misdiagnosis in diabetes: a pilot and validation study of routinely collected data.

how does the GP's method of coding clinical data affect incidence ...

Our research has identified the impact of miscoding and misclassification on the recorded incidence of diabetes. It is likely that similar trends, errors and ...

Data Mining Approach to Identify Disease Cohorts from Primary ...

Diagnostic codes, such as the International Classification of Diseases (ICD) codes or Read codes [6], are generally used to identify disease cohorts from EMRs [ ...

Automated Detection and Classification of Type 1 Versus Type 2 ...

xx used for diabetes screening rather than diagnosis), two EHR coding errors (oral glucose tol- erance test 2-hour results miscoded as fasting glucoses), three ...

Evaluating tools to support a new practical classification of diabetes

practices to identify likely cases of misdiagnosis, mis- classification ... Automated identification of miscoded and misclas- sified cases of diabetes ...

Is diabetes mellitus correctly registered and classified in primary ...

To assess the prevalence of miscoding, misclassification, misdiagnosis and under-registration of diabetes mellitus (DM) in primary health care in Catalonia ( ...

Misclassification in Automated Content Analysis Causes Bias ... - arXiv

As an example, we use a logistic regression model to predict whether a comment contains identity disclosure using number of likes, toxicity, and ...

Development of the multivariate administrative data cystectomy ...

Misclassification bias (MB) is the deviation of measured from true values due to incorrect case assignment. This study compared MB when ...

Misclassification of Sex in Central Cancer Registries - naaccr

The edit uses the most popular male and female first names based on decade of birth to identify potentially miscoded cases. This paper provides a summary of ...