AI-Driven Decision Support for Early Detection of Cardiac Events: Unveiling Patterns and Predicting Myocardial Ischemia

Abstract

Cardiovascular diseases (CVDs) account for a significant portion of global mortality, emphasizing the need for effective strategies. This study focuses on myocardial infarction, pulmonary thromboembolism, and aortic stenosis, aiming to empower medical practitioners with tools for informed decision making and timely interventions. Drawing from data at Hospital Santa Maria, our approach combines exploratory data analysis (EDA) and predictive machine learning (ML) models, guided by the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. EDA reveals intricate patterns and relationships specific to cardiovascular diseases. ML models achieve accuracies above 80%, providing a 13 min window to predict myocardial ischemia incidents and intervene proactively. This paper presents a Proof of Concept for real-time data and predictive capabilities in enhancing medical strategies.

Joint Expedition: Exploring the Intersection of Digital Health and AI in Precision Medicine with Team Integration

“…This Special Issue has successfully achieved a significant milestone, featuring 20 contributions (Co)s (excluding this editorial) [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28].…”

“…The published papers (see Figure 1), according to the selected categories, encompass 1 introductory editorial [9], 7 full scientific articles [10][11][12][13][14][15][16], 5 reviews [17][18][19][20][21], 2 systematic reviews [22,23], 4 perspectives [24][25][26][27], and 1 opinion article [28].…”

“…The work by Elvas et al [15] addresses the significant global burden of cardiovascular diseases (CVDs), specifically focusing on myocardial infarction, pulmonary thromboembolism, and aortic stenosis. Utilizing data from Hospital Santa Maria, their research employs a comprehensive approach integrating exploratory data analysis (EDA) and predictive machine learning (ML) models.…”

“…Twenty distinct contributions [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28] weave through the intricate fields of the health domain focused on the integration of digital health and AI with precision medicine. These studies, spanning diverse medical domains, collectively leverage several AI and digital health approaches to precision medicine.…”

“…The scientific articles [10][11][12][13][14][15][16] offer a glimpse into the current priorities of scholars, with a distinct focus on the integration of digital health and AI within the realm of precision medicine. These articles illuminate the ongoing efforts of researchers, underscoring the increasing importance of incorporating advanced technologies into healthcare practices.…”