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Prediction of Heart Disease Using Machine Learning
Published in Monika Mangla, Subhash K. Shinde, Vaishali Mehta, Nonita Sharma, Sachi Nandan Mohanty, Handbook of Research on Machine Learning, 2022
Subasish Mohapatra, Jijnasee Dash, Subhadarshini Mohanty, Arunima Hota
It can be detected with early diagnosis of symptoms. Abnormal heartbeats (heart arrhythmias) disease causes the heart to beat very fastly or very slowly. Symptoms are like shortness of breath, dizziness, bradycardia, tachycardia, syncope, etc. Heart disease generated by heart defects causes symptoms like cyanosis, swelling around the eyes, leg, poor weight gain in the case of a child. Weak heart muscle (dilated cardiomyopathy) disease symptoms are not visible earlier. At worst condition symptoms like fatigue, breathlessness at rest, a fluttering of the heart can be seen. Heart infections can cause skin rashes, swelling of body parts, dry cough, etc. [2]. Our heart consists of four valves, namely aortic, mitral, pulmonary, tricuspid valves. They generally open and closes to coordinate blood course through our heart. Stenosis, insufficiency, prolapse are the conditions that may damage our valves to cause valvular heart disease. The visible symptoms are swollen legs, irregular heartbeat, and syncope. Individuals with high blood pressure (BP), hypertension, overweight, high lipid, diabetics are at risk of cardiovascular disease [1, 20]. If at the primary stage they get a proper diagnosis and primary health care facilities, the premature death rate can be prevented. With proper treatment and right counseling at an earlier stage can cure their disease [3, 21].
Hybrid Genetic Algorithms for Biomedical Applications
Published in Saravanan Krishnan, Ramesh Kesavan, B. Surendiran, G. S. Mahalakshmi, Handbook of Artificial Intelligence in Biomedical Engineering, 2021
Heart diseases usually occur due to improper pumping of the blood, block in arteries, high blood pressure, diabetes, etc. It has become a prominent cause of death these days. Hence, predicting its occurrence has gained prominence in the health field. Shortness of breath, feeling fatigue, and swollen feet are all some of the symptoms for heart disease. Early diagnosis of heart disease helps in reducing the risk of heart attacks and death (Durga, 2015). The common method of diagnosing heart disease is based on examining and analyzing a patient’s medical history and the symptoms by cardiologists. This diagnosis is time-consuming and not very precise (Al-Absi et al., 2011).
Wearable Sensors for Monitoring Exercise and Fatigue Estimation in Rehabilitation
Published in Manuel Cardona, Vijender Kumar Solanki, Cecilia E. García Cena, Internet of Medical Things, 2021
Maria J. Pinto-Bernal, Andres Aguirre, Carlos A. Cifuentes, Marcela Munera
Therefore, it is essential to understand the implications and consequences of fatigue. For instance, it can result in the deterioration of health in the long term, including work-related musculoskeletal disorders, chronic fatigue syndrome, and compromised immune function [50]. Besides, fatigue is a common symptom associated with a wide range of chronic diseases such as cancer, multiple sclerosis, cardiovascular, Parkinson, as well as fibromyalgia symptoms [7, 12, 48].
Fatigue assessment of sedentary office workers using smartphones: a preliminary study
Published in International Journal of Occupational Safety and Ergonomics, 2023
Runting Zhong, Jingxian Liao, Yunlong Xu
Fatigue is a complex syndrome linked to physical [13] and mental [14,15] health, which affects occupational health. Fatigue can be defined as reversible motor and cognitive impairment, with reduced motivation and increased desire to rest, and can appear spontaneously or may be brought on by mental or physical activity, humidity, acute infection or food ingestion [16]. Fatigue is associated with the presence of depression [17] and reduced physical activity [13]. If we do not know that someone is fatigued, we cannot take steps to reduce or eliminate its adverse mental or physical effects. The presence of fatigue can provide prospective information for negative health outcomes [18,19]. Therefore, measuring fatigue is important in order to assist people in making changes to reduce its negative effects.
The trend of fall-related mortality at national and provincial levels in Iran from 1990 to 2015
Published in International Journal of Injury Control and Safety Promotion, 2020
Zahra Ghodsi, Man Amanat, Sahar Saeedi Moghaddam, Payam Vezvaei, Kimiya Gohari, Rosa Haghshenas, Mohammad Hosein Amirzade-Iranaq, Nazila Rezaei, Soheil Saadat, Ali Sheidaei, Mahdi Sharif-Alhoseini, Farideh Sadeghian, Seyed Behzad Jazayeri, Mona Salehi, Payman Salamati, Maziar Moradi-Lakeh, Ali H. Mokdad, Gerard O’Reilly, Vafa Rahimi-Movaghar
Our study revealed that people aged above 85 years were at the highest risk of death due to falls. In line with this study, ageing was showed to be a risk factor of falls and their related mortality (Baricich et al., 2018; Joshi et al., 2019; Taheri-Kharameh et al., 2019). It was identified that about one-third of adults older than 65 years had at least one fall during the last 12 months and about 70% of injuries in this population were caused by falls (Homann et al., 2013). One study in the United Kingdom indicated that over 30% of the elderly population fell each year and about half of them had recurrent falling episodes (Scuffham et al., 2003). Impaired physiological function due to age and medical conditions is an important risk factor for falls. The elderly population are at an increased risk of different pathological events including neurological disorders. Gait disturbance and postural instability due to neurological events can lead to falls. Multiple studies showed high rate of falls among people with cerebrovascular diseases, dementia and parkinson’s disease (Tripathy et al., 2015; Ungar et al., 2016; Wing et al., 2017). Osteoporosis, muscle weakness and visual impairment are other medical conditions that can be seen frequently in the elderly and increase the odds of falls (Dhargave & Sendhilkumar, 2016). The use of multiple medicines is another risk factor of falls. Dizziness and fatigue are common side effects of medication. These conditions can lead to impaired balance and put older people at a higher risk of falling (Dhargave & Sendhilkumar, 2016).
Soft medical robotics: clinical and biomedical applications, challenges, and future directions
Published in Advanced Robotics, 2019
Jen-Hsuan Hsiao, Jen-Yuan (James) Chang, Chao-Min Cheng
When a patient is diagnosed with heart failure (HF), the heart cannot pump sufficient blood to maintain tissue perfusion. Decreased cardiac output may cause fluid overload, lower extremity swelling, and pulmonary edema. Common symptoms of heart failure include shortness of breath, general fatigue, and reduced ability to exercise. Those afflicted may seek heart transplantation, but with limited donors available, ventricular assist devices (VADs) and direct cardiac compression device (DCCs) are more frequent clinical approaches. VADs augment the function of the left and right ventricles of the heart by extracting blood from the ventricles before pumping it back to the heart [15]. However, blood flowing over the metallic surface of a VAD may coagulate and form blood clots, which could endanger the patient’s life [16]. DCCs, however, do not come in direct contact with blood. They are surgically placed around the beating heart to help provide sufficient blood flow. Although conventional DCCs could preclude the possibility of coagulation, proper adhesion and synchronization of the DCC with the natural pumping of the heart remains a challenge. These and other obstacles have motivated the development of soft cardiac devices [17] (Figure 1).