Predicting Heart Failure
Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods
Kishor Kumar Sadasivuni, Hassen M. Ouakad, Somaya Al-Maadeed, Huseyin C. Yalcin, Issam Bait Bahadur, Kishor Kumar Sadasivuni, Hassen M. Ouakad, Somaya Al-Maadeed, Huseyin C. Yalcin, Issam Bait Bahadur
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Predicting Heart Failure
Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods
Kishor Kumar Sadasivuni, Hassen M. Ouakad, Somaya Al-Maadeed, Huseyin C. Yalcin, Issam Bait Bahadur, Kishor Kumar Sadasivuni, Hassen M. Ouakad, Somaya Al-Maadeed, Huseyin C. Yalcin, Issam Bait Bahadur
About This Book
PREDICTING HEART FAILURE
Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods focuses on the mechanics and symptoms of heart failure and various approaches, including conventional and modern techniques to diagnose it.
This book also provides a comprehensive but concise guide to all modern cardiological practice, emphasizing practical clinical management in many different contexts. Predicting Heart Failure supplies readers with trustworthy insights into all aspects of heart failure, including essential background information on clinical practice guidelines, in-depth, peer-reviewed articles, and broad coverage of this fast-moving field. Readers will also find:
- Discussion of the main characteristics of cardiovascular biosensors, along with their open issues for development and application
- Summary of the difficulties of wireless sensor communication and power transfer, and the utility of artificial intelligence in cardiology
- Coverage of data mining classification techniques, applied machine learning and advanced methods for estimating HF severity and diagnosing and predicting heart failure
- Discussion of the risks and issues associated with the remote monitoring system
- Assessment of the potential applications and future of implantable and wearable devices in heart failure prediction and detection
- Artificial intelligence in mobile monitoring technologies to provide clinicians with improved treatment options, ultimately easing access to healthcare by all patient populations.
Providing the latest research data for the diagnosis and treatment of heart failure, Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods is an excellent resource for nurses, nurse practitioners, physician assistants, medical students, and general practitioners to gain a better understanding of bedside cardiology.
Frequently asked questions
Information
1
Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure
1.1 Introduction
1.2 Heart Failure
1.2.1 What is HF?
1.2.2 Causes of HF
HF Type | Outcome |
---|---|
Left-sided HF | This causes fluid to accumulate in the lungs, which causes shortness of breath in people. |
Right-sided HF | Fluid builds up in the abdomen, legs, and feet, which causes swelling in the abdomen and legs. |
Systolic HF | This occurs when the heart muscle cannot contract strongly as it should; as a result, blood is not pumped in the normal way. |
Diastolic HF | There is insufficient blood filling the area due to the inability of the heart to relax sufficiently. |
- CAD and heart attack: CAD is the most prominent heart disease and the most common cause of HF. The disease occurs when blood circulation is not normal due to fat deposits, called plaques, in the blood vessels. Heart attacks are divided into mild heart attack and major heart attack. Mild heart attacks occur in a small portion of the heart muscle. However, a mild heart attack should be taken seriously because it can cause a second attack. Major heart attack affects a large part of the heart muscle. The blood flow to the heart is completely blocked or there is no blood flow for a long time. Major heart attack can cause cardiac arrest and death.
- High blood pressure (hypertension): High blood pressure is one of the factors that makes it difficult for the heart to pump blood to the body. This strain causes the heart muscle to work more than normal, damaging it.
- Faulty heart valves: The function of the heart valves is to keep the blood flowing in the right direction. Failure of heart valves to function is known as heart valve malfunction. Heart valve malfunctions can be caused by genetic factors, old age, and infection. A faulty valve tires the heart, forcing it to work harder and causing it to weaken over time.
- Damage to the heart muscle (cardiomyopathy): Cardiomyopathy can have many causes, such as various diseases, infections, alcohol use, and the toxic effect of drugs like cocaine or chemotherapy drugs. Sometimes it can be due to genetic factors.
- Heart muscle inflammation: This is caused by viruses and can lead to left-sided HF.
- Congenital heart defects: If the heart and chambers or valves arenāt formed correctly, the healthy parts of the heart have to work harder to pump blood, which can lead to HF.
- Heart arrhythmias: Abnormal heart rhythms will show heart-damaging output in both fast heartbeat and slow heartbeat. Its rapid beating will tire the heart, and its slow beating will cause problems in circulation.
- Other diseases: Diabetes, HIV, hyperthyroid and similar diseases can also cause HF.