Psychiatric comorbidities in epilepsy

CB Josephson, N Jetté - International review of psychiatry, 2017 - Taylor & Francis
Psychiatric comorbidities, including mood, anxiety, and psychotic disorders, are common in
epilepsy, often occurring at rates 2–3-fold or higher than in the general population without …

The accuracy of using administrative healthcare data to identify epilepsy cases: a systematic review of validation studies

GK Mbizvo, KH Bennett, C Schnier, CR Simpson… - …, 2020 - Wiley Online Library
Our objective was to undertake a systematic review ascertaining the accuracy of using
administrative healthcare data to identify epilepsy cases. We searched MEDLINE and …

Predictive models for diabetes mellitus using machine learning techniques

H Lai, H Huang, K Keshavjee, A Guergachi… - BMC endocrine …, 2019 - Springer
Abstract Background Diabetes Mellitus is an increasingly prevalent chronic disease
characterized by the body's inability to metabolize glucose. The objective of this study was to …

Identification of physician-diagnosed Alzheimer's disease and related dementias in population-based administrative data: a validation study using family physicians' …

RL Jaakkimainen, SE Bronskill… - Journal of …, 2016 - content.iospress.com
Background: Population-based surveillance of Alzheimer's and related dementias (AD-RD)
incidence and prevalence is important for chronic disease management and health system …

Diabetes and the occurrence of infection in primary care: a matched cohort study

W Abu-Ashour, LK Twells, JE Valcour… - BMC infectious …, 2018 - Springer
Background People with diabetes may be at higher risk for acquiring infections through both
glucose-dependent and biologic pathways independent of glycemic control. Our aim was to …

Using machine learning to predict hypertension from a clinical dataset

D LaFreniere, F Zulkernine, D Barber… - 2016 IEEE symposium …, 2016 - ieeexplore.ieee.org
Hypertension is an illness that often leads to severe and life threatening diseases such as
heart failure, thickening of the heart muscle, coronary artery disease, and other severe …

Assessing the quality of clinical and administrative data extracted from hospitals: the General Medicine Inpatient Initiative (GEMINI) experience

AA Verma, SV Pasricha, HY Jung… - Journal of the …, 2021 - academic.oup.com
Objective Large clinical databases are increasingly used for research and quality
improvement. We describe an approach to data quality assessment from the General …

Representativeness of patients and providers in the Canadian Primary Care Sentinel Surveillance Network: a cross-sectional study

JA Queenan, T Williamson, S Khan… - … Open Access Journal, 2016 - cmajopen.ca
Background: The Canadian Primary Care Sentinel Surveillance Network (CPCSSN) has
established a national repository of primary care patient health data that is used for both …

[HTML][HTML] Prevalence and demographics of CKD in Canadian primary care practices: a cross-sectional study

AK Bello, PE Ronksley, N Tangri, J Kurzawa… - Kidney international …, 2019 - Elsevier
Introduction Surveillance systems enable optimal care delivery and appropriate resource
allocation, yet Canada lacks a dedicated surveillance system for chronic kidney disease …

[HTML][HTML] Effects of COVID-19 pandemic on anxiety and depression in primary care: a retrospective cohort study

E Stephenson, B O'Neill, S Kalia, C Ji… - Journal of affective …, 2022 - Elsevier
Background Population-based surveys indicate that many people experienced increased
psychological distress during the COVID-19 pandemic. We aimed to determine if there was …