This heart disease dataset is curated by combining 3 popular heart disease datasets. The first dataset (Collected from Kaggle) contains 70000 records with 11 independent features which makes it the largest heart disease dataset available so far for research purposes. These data were collected at the moment of medical examination and information given by the patient. Second and third datasets contain 303 and 293 intstances respectively with 13 common features. The three datasets used for its curation are:Cardio Data (Kaggle Dataset)

The sample dataset was selected from Isfahan Cardiovascular Research Center (ICRC). It was de-identified due to the restrictions on individual-level data (Personal Health Information Protection Act) based on [1,2]. They could be used to identify 10-year CVD incidence risk based on the model proposed in the corresponding publication [3]. The representative age category could be used in the model instead of the exact age that had been removed since it was potentially identifying as the recruitment period was short and was fully described [1]. Since the Hazard Ratio of age was 1.038, the estimated risks are comparable to what was obtained with the exact age. The categories of Systolic Blood Pressure (SBP) and Total Cholesterol (Tch) were used in the model, and thus here provided. High waist-to-hip ratio (WHR) was defined as WHR ≥ 0.80 in women and ≥ 0.95 in men. 1. Hrynaszkiewicz I, Norton ML, Vickers AJ, Altman DG. Preparing raw clinical data for publication: guidance for journal editors, authors, and peer reviewers. BMJ. 2010;340, http://www.bmj.com/content/340/bmj.c181.long .2. National Heart, Lung and Blood Institute. Guidelines for Preparing Clinical Study Data Sets for Submission to the NHLBI Data Repository. https://www.nhlbi.nih.gov/research/funding/human-subjects/set-preparation-guidelines . 3.
Nizal Sarrafzadegan, Razieh Hassannejad, Hamid Reza Marateb, Mohammad Talaei, Masoumeh Sadeghi, Hamid Reza Roohafza, Farzad Masoudkabir, Shahram OveisGharan, Marjan Mansourian, Mohammad Reza Mohebian, Miquel Angel Mañanas, "PARS Risk Charts: A 10-year Study of Risk Assessment for Cardiovascular Diseases in Eastern Mediterranean Region", submitted to PLOS One.

This heart disease dataset is acquired from one o f the multispecialty hospitals in India. Over 14 common features which makes it one of the heart disease dataset available so far for research purposes. This dataset consists of 1000 subjects with 12 features. This dataset will be useful for building a early-stage heart disease detection as well as to generate predictive machine learning models.

Dataset contains 20000+ records of patients data. Of their medical history of getting cardiovascular disease.

1) Data Introduction • The Cardiovascular Disease dataset is a dataset that predicts the presence of cardiovascular disease.

2) Data Utilization (1) Cardiovascular Disease data has characteristics that: • It includes variables such as age, weight, height, gender, systolic and diastolic blood pressure, cholesterol, glucose, smoking, alcohol consumption, and physical activity. (2) Cardiovascular Disease data can be used to: • Risk Factor Analysis: Identify key risk factors for cardiovascular disease and develop prevention strategies by doing so. • Medical Research: It helps preventive measures by predicting patients' risk of developing cardiovascular disease early.

From 2017 to 2020, it was estimated that around 52 percent of Hispanic males and 37 percent of Hispanic females aged 20 years and older had some cardiovascular disease. This statistic shows the prevalence of cardiovascular diseases among U.S. adults aged 20 years and older in the period from 2017 to 2020, by race/ethnicity and gender.

The ECG Images Dataset of Cardiac Patients is an extensive collection of electrocardiogram (ECG) images designed to aid research and advancements in the field of cardiovascular medicine. This dataset provides a wealth of data that can be utilized for various analyses, including the development of diagnostic tools and the study of different cardiac conditions.

Dataset Overview

The dataset is organized into four main categories, each representing different cardiac conditions:

ECG Images of Myocardial Infarction Patients

• Number of Images: 240
• Total Dimensions: 240x12 (total of 2880 images)
• Description: These images are from patients diagnosed with myocardial infarction (MI), commonly known as a heart attack. The images reflect the ECG patterns typically associated with this critical condition.

ECG Images of Patients with Abnormal Heartbeat

• Number of Images: 233
• Total Dimensions: 233x12 (total of 2796 images)
• Description: This category includes ECG images from patients exhibiting abnormal heartbeat patterns. Such patterns may indicate a range of arrhythmias or other cardiac issues, providing crucial data for diagnostic and research purposes.

ECG Images of Patients with a History of Myocardial Infarction

• Number of Images: 172
• Total Dimensions: 172x12 (total of 2064 images)
• Description: These images come from patients who have a documented history of myocardial infarction. They offer insights into the long-term effects and recovery patterns associated with heart attacks.

Normal Person ECG Images

• Number of Images: 284
• Total Dimensions: 284x12 (total of 3408 images)
• Description: This category features ECG images from individuals with no known cardiac issues, serving as a baseline for comparison with pathological cases.

Certainly! Here’s a revised and enhanced description for your Kaggle dataset post, with the requested information removed:

ECG Images Dataset of Cardiac Patients Description The ECG Images Dataset of Cardiac Patients is an extensive collection of electrocardiogram (ECG) images designed to aid research and advancements in the field of cardiovascular medicine. This dataset provides a wealth of data that can be utilized for various analyses, including the development of diagnostic tools and the study of different cardiac conditions.

Dataset Overview The dataset is organized into four main categories, each representing different cardiac conditions:

ECG Images of Myocardial Infarction Patients

Number of Images: 240 Total Dimensions: 240x12 (total of 2880 images) Description: These images are from patients diagnosed with myocardial infarction (MI), commonly known as a heart attack. The images reflect the ECG patterns typically associated with this critical condition. ECG Images of Patients with Abnormal Heartbeat

Number of Images: 233 Total Dimensions: 233x12 (total of 2796 images) Description: This category includes ECG images from patients exhibiting abnormal heartbeat patterns. Such patterns may indicate a range of arrhythmias or other cardiac issues, providing crucial data for diagnostic and research purposes. ECG Images of Patients with a History of Myocardial Infarction

Number of Images: 172 Total Dimensions: 172x12 (total of 2064 images) Description: These images come from patients who have a documented history of myocardial infarction. They offer insights into the long-term effects and recovery patterns associated with heart attacks. Normal Person ECG Images

Number of Images: 284 Total Dimensions: 284x12 (total of 3408 images) Description: This category features ECG images from individuals with no known cardiac issues, serving as a baseline for comparison with pathological cases.

Applications

The ECG Images Dataset is a valuable resource for various applications, including:

• Machine Learning and AI Models: Train and validate models for ECG classification, anomaly detection, and predictive analytics.
• Cardiac Research: Investigate patterns and features of different cardiac conditions to improve diagnostic methods and patient outcomes.
• Diagnostic Tool Development: Create automated systems for detecting and interpreting ECG abnormalities.

Download

The dataset is available for download from Kaggle and is provided in a compressed file of approximately 194 MB.

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The cardiovascular diagnostics industry is valued at USD 6.5 billion in 2025. As per FMI's analysis, the industry will grow at a CAGR of 5.1% and reach USD 10.69 billion by 2035.

ECG images dataset of Cardiac Patients created under the auspices of Ch. Pervaiz Elahi Institute of Cardiology Multan, Pakistan that aims to help the scientific community for conducting the research for Cardiovascular diseases.

This data package contains the data about the number of individuals and of the medical procedures undergone by the individuals in a year, procedures that can be categorized as cardiac diagnosis or treatment procedures. In this data package can be found useful statistics related to cardiac procedures, crude rates and the adjusted rates of procedures at Hospital Referral Region in most of the cases and for defibrillator insertion at State, Hospital Service Areas and County level also.

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Cardiovascular Therapeutics Market Size 2025-2029

The cardiovascular therapeutics market size is forecast to increase by USD 25.32 billion, at a CAGR of 4.6% between 2024 and 2029.

The market is experiencing significant growth and transformation, driven by the increasing risk factors for cardiovascular diseases and the advent of novel technologies. The rising prevalence of obesity, sedentary lifestyles, and unhealthy diets are leading to a surge in cardiovascular conditions, creating a vast demand for effective therapeutic solutions. One of the most promising developments in the market is the advent of Novel Oral Anticoagulants (NOACs), which offer improved safety and efficacy compared to traditional anticoagulants. These next-generation drugs are revolutionizing the treatment of atrial fibrillation, deep vein thrombosis, and pulmonary embolism, providing better patient outcomes and reduced healthcare costs.
Another trend shaping the market is the emergence of wearable defibrillators, which enable early detection and intervention of life-threatening cardiac arrhythmias. These portable devices offer significant advantages over conventional implantable defibrillators, including greater patient mobility and reduced invasiveness. However, challenges remain, such as ensuring user-friendliness, affordability, and effective integration with healthcare systems, which companies must address to capitalize on this market opportunity.

What will be the Size of the Cardiovascular Therapeutics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, driven by the persistent challenge of managing complex cardiovascular conditions and addressing the ever-growing burden of cardiovascular risk factors. Antianginal drugs, including beta blockers, play a crucial role in mitigating symptoms of angina. However, the focus is shifting towards a more holistic approach, integrating family history, lifestyle modifications, and personalized medicine. Cardiac risk factors, such as physical inactivity and smoking, remain significant contributors to the disease burden. Advanced technologies, like cardiac computed tomography and genetic testing, are transforming diagnosis and treatment, enabling earlier intervention and improved patient outcomes. The drug approval process is undergoing significant changes, with an increased emphasis on clinical trials and the use of biomarkers, such as natriuretic peptides and creatine kinase, to assess drug efficacy.

Cardiovascular devices, including cardiac glycosides and drug delivery systems, are also advancing, offering new treatment options and improving patient care. Aortic aneurysm repair and cardiac rehabilitation are gaining prominence, reflecting the importance of addressing the long-term management of cardiovascular conditions. Antihypertensive drugs, including calcium channel blockers and ACE inhibitors, continue to be a mainstay in treating hypertension, while lipid-lowering agents and antihypertensive drugs remain essential in managing dyslipidemia and hypertension, respectively. Patient education and lifestyle modifications, such as weight management and smoking cessation, are increasingly recognized as critical components of effective cardiovascular care. The role of healthcare policy in shaping the market landscape and ensuring access to these advanced treatments is a continuous area of focus.

In the ever-changing landscape of cardiovascular therapeutics, ongoing research and innovation are essential to address the evolving needs of patients and healthcare providers. The market dynamics are shaped by a complex interplay of scientific advancements, regulatory requirements, and healthcare policy. The integration of technology, personalized medicine, and patient-centered care is driving the development of new treatments and improving patient outcomes.

How is this Cardiovascular Therapeutics Industry segmented?

The cardiovascular therapeutics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Distribution Channel

  Hospital pharmacy
  Retail Pharmacy
  Online pharmacy


Type

  Antithrombotic drugs
  Hypolipidemic drugs
  Others


Route Of Administration

  Oral
  Injectable
  Transdermal


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Distribution Channel Insights

The hospital pharmacy segment is estimated to witness significant growth during the forecast period.

Hospital pharmacies are a significant segment of the h

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In fiscal year 2023, cardiovascular funding by the NIH stood at 2.88 billion U.S. dollars. This graph shows the actual cardiovascular funding by the National Institutes for Health (NIH) from FY 2013 to FY 2023 and estimates for FYs 2024 and 2025.

According to a ranking of the best hospitals in the U.S., the best hospital for adult cardiology, heart, and vascular surgery is the Cleveland Clinic in Ohio, which had a score of 100 out of 100, as of 2024. This statistic shows the top 10 hospitals for adult cardiology, heart, and vascular surgery in the United States based on the score given by U.S. News and World Report's annual hospital ranking.

The cardiovascular disease profiles have been updated by Public Health England (PHE).

The profiles provide an overview of data on cardiovascular and cardiovascular related conditions of heart disease, stroke, diabetes and kidney disease. They are intended to help commissioners and health professionals assess the impact of cardiovascular disease (CVD) on their local population, make decisions about services and improve outcomes for patients.

The cardiovascular disease profiles are one of a range of data and analysis resources produced by PHE’s National Cardiovascular Intelligence Network (NCVIN).

NVCIN has released a range of cardiovascular disease guidance, data and intelligence resources.

This dataset documents rates and trends in local hypertension-related cardiovascular disease (CVD) death rates. Specifically, this report presents county (or county equivalent) estimates of hypertension-related CVD death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (female, male). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.

Data on county socioeconomic status for 2,132 US counties and each county’s average annual cardiovascular mortality rate (CMR) and total PM2.5 concentration for 21 years (1990-2010). County CMR, PM2.5, and socioeconomic data were obtained from the U.S. National Center for Health Statistics, U.S. Environmental Protection Agency’s Community Multiscale Air Quality modeling system, and the U.S. Census, respectively. A socioeconomic index was created using seven county-level measures from the 1990 US census using factor analysis. Quintiles of this index were used to generate categories of county socioeconomic status. This dataset is associated with the following publication: Wyatt, L., G. Peterson, T. Wade, L. Neas, and A. Rappold. The contribution of improved air quality to reduced cardiovascular mortality: Declines in socioeconomic differences over time. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 136: 105430, (2020).