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Development of rapid and effective risk prediction models for stroke in the Chinese population: a cross-sectional study
Conclusion The five machine learning models all had good predictive and discriminatory performance for stroke. The performance of RF and XGBoost was slightly better than that of LR, which was easier to interpret and less prone to overfitting. This work provides a rapid and accurate tool for stroke risk assessment, which can help to improve the efficiency of stroke screening medical services and the management of high-risk groups.
Source: BMJ Open - March 1, 2023 Category: General Medicine Authors: Qiu, Y., Cheng, S., Wu, Y., Yan, W., Hu, S., Chen, Y., Xu, Y., Chen, X., Yang, J., Chen, X., Zheng, H. Tags: Open access, Public health Source Type: research

Insights Into Women and Stroke Risk
TUESDAY, Dec. 11, 2018 -- You might be surprised to learn that stroke is the number three killer of women. Women and men have many of the same risk factors for stroke, but some -- like high blood pressure, migraine with aura, diabetes and stress --...
Source: Drugs.com - Daily MedNews - December 11, 2018 Category: General Medicine Source Type: news

How a public health solution is reducing hypertension disparities
Addressing health care disparities can help practices improve the health of patients in vulnerable at-risk populations. Learn how eight family medicine practices boosted hypertension control rates for diverse patients by more than 3 percentage points in just three months. A targeted pilot As part of the Million Hearts initiative, the Summit County Public Health department (SCPH) and several partners in Ohio launched a pilot project with several family medicine practices to help reduce hypertension rates among black men. In Ohio, 38.5 percent of black patients have a diagnosis of hypertension, compared to 33.7 percent...
Source: AMA Wire - February 16, 2016 Category: Journals (General) Authors: Lyndra Vassar Source Type: news

Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning
Conclusions: With statewide EHR datasets, our study prospectively validated an accurate 1-year risk prediction model for incident essential hypertension. Our real-time predictive analytic model has been deployed in the state of Maine, providing implications in interventions for hypertension and related diseases and hopefully enhancing hypertension care.
Source: Journal of Medical Internet Research - January 30, 2018 Category: General Medicine Authors: Chengyin Ye Tianyun Fu Shiying Hao Yan Zhang Oliver Wang Bo Jin Minjie Xia Modi Liu Xin Zhou Qian Wu Yanting Guo Chunqing Zhu Yu-Ming Li Devore S Culver Shaun T Alfreds Frank Stearns Karl G Sylvester Eric Widen Doff McElhinney Xuefeng Ling Source Type: research

Clinical code usage in UK general practice: a cohort study exploring 18 conditions over 14 years
Conclusions This is an under-reported research area and the findings suggest the codes’ usage diversity for most conditions remained overall stable throughout the study period. Generated mental health code lists can last for a long time unlike cardiometabolic conditions and cancer. Adopting more consistent and less diverse coding would help improve data quality in primary care. Future research is needed following the transfer to the Systematised Nomenclature of Medicine Clinical Terms (SNOMED CT) coding.
Source: BMJ Open - July 25, 2022 Category: General Medicine Authors: Zghebi, S. S., Reeves, D., Grigoroglou, C., McMillan, B., Ashcroft, D. M., Parisi, R., Kontopantelis, E. Tags: Open access, General practice / Family practice Source Type: research