Cardiovascular Diseases Commons^™

A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, Intisar Ahmed

Electronic Theses, Projects, and Dissertations

Heart disease is the leading cause of death for people around the world today. Diagnosis for various forms of heart disease can be detected with numerous medical tests, however, predicting heart disease without such tests is very difficult. Machine learning can help process medical big data and provide hidden knowledge which otherwise would not be possible with the naked eye. The aim of this project is to explore how machine learning algorithms can be used in predicting heart disease by building an optimized model. The research questions are; 1) What Machine learning algorithms are used in the diagnosis of heart …

Assessing The Reidentification Risks Posed By Deep Learning Algorithms Applied To Ecg Data, Arin Ghazarian, Jianwei Zheng, Daniele Struppa, Cyril Rakovski

Mathematics, Physics, and Computer Science Faculty Articles and Research

ECG (Electrocardiogram) data analysis is one of the most widely used and important tools in cardiology diagnostics. In recent years the development of advanced deep learning techniques and GPU hardware have made it possible to train neural network models that attain exceptionally high levels of accuracy in complex tasks such as heart disease diagnoses and treatments. We investigate the use of ECGs as biometrics in human identification systems by implementing state-of-the-art deep learning models. We train convolutional neural network models on approximately 81k patients from the US, Germany and China. Currently, this is the largest research project on ECG identification. …

Association Between Leg Adiposity & Hypertension Subtypes In Young & Middle-Aged American Adults, David Lo, Aayush Visaria, Pranay Maniar

Rowan-Virtua Research Day

Our research aim was to determine the association between appendicular adiposity and hypertension to better elucidate the role of body fat distribution on blood pressure (BP).

Many studies have provided evidence for the inverse association between leg adiposity and metabolic syndrome criteria.

Hypertension (HT) subtypes have unique age distributions and associated risk factors. BMI ± triglycerides are major risk factors for isolated diastolic hypertension (IDH).

Stroke Network Of Wisconsin (Snow) Scale Predicts Large Vessel Occlusion Stroke In The Prehospital Setting, Kessarin Panichpisal, Sarah Erpenbeck, Paul Vilar, Reji P. Babygirija, Maharaj Singh, M. Riccardo Colella, Richard A. Rovin

Journal of Patient-Centered Research and Reviews

Purpose: In previous trials, the Stroke Network of Wisconsin (SNOW) scale accurately predicted large vessel occlusion (LVO) stroke in the hospital setting. This study evaluated SNOW scale performance in the prehospital setting and its ability to predict LVO or distal medium vessel occlusion (DMVO) in patients suspected of having acute ischemic stroke (AIS), a scenario in which transport time to an endovascular treatment-capable facility (ECSC) is critical.

Methods: All potential AIS patients with last-known-well time of ≤ 24 hours were assessed by Milwaukee County Emergency Medical Services for LVO using SNOW. Patients with a positive SNOW score were transferred to …

Implementation Of Standardized Protocols For Office Blood Pressure Measurement, Steven Nevers, Alice Tran, Carol Gambrill, Anush Pillai

Gulf Coast Division Research Day 2022

No abstract provided.