scholarly journals Diagnosis of Arrhythmia for Patients with Occult Coronary Heart Disease Guided by Intracavitary Electrocardiogram under Data Mining Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Gang Wang ◽  
Li Luo ◽  
Xia Zhao
Keyword(s):  
Data Mining ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Control Group ◽  
Data Mining Algorithm ◽  
Mining Algorithm ◽  
Cart Algorithm ◽  
Experimental Group

The objective of this study was to explore the application value of intracavitary electrocardiogram- (IEGM-) guided diagnosis of occult heart disease and conventional electrocardiogram (EGM) in the diagnosis of occult coronary heart disease (CHD) based on the classification and regression tree (CART) mining algorithm, hoping to provide a more effective basis for clinical diagnosis of the occult CHD. In this study, 100 patients with occult CHD admitted to our hospital from February 2016 to December 2020 were selected as the research objects. Based on the random number table method, 100 patients were randomly rolled into two groups, each with 50 cases. The patients diagnosed with conventional ECG were set as the control group, and patients in the experimental group were diagnosed with IEGM under the data mining algorithms. The diagnostic effects of the two groups were compared. The results showed that the processing effect of the CART algorithm (94%) was much better than that of the multiple linear regression algorithm (78%) and the random forest algorithm (69%) ( P < 0.05 ), the agreement between the results of the experimental group and the results of coronary angiography (80%) and Kappa (0.7) was higher than those of the control group (55%, 0.45), and the difference was statistically significant ( P < 0.05 ). In addition, the sensitivity (93%) and accuracy (80%) of the experimental group were obviously higher than those of the control group (62% and 55%), and the differences were remarkably significant ( P < 0.05 ). In conclusion, the consistency ratio of the IEGM examination was higher, showing high accuracy; the intracavitary examination was invasive, so IEGM was not recommended when the diagnosis result of the examination may cause more harm than good.

scholarly journals Therapeutic effect of nifedipine combined with enalapril on elderly patients with coronary heart disease complicated with hypertension

2018 ◽  
Vol 2 (6) ◽  
Author(s):  
Xiaoye Wang
Keyword(s):  
Blood Pressure ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Elderly Patients ◽  
Adverse Reactions ◽  
Effective Rate ◽  
Control Group ◽  
Significant Difference ◽  
Pre Treatment ◽  
Experimental Group

【Abstract】Objective: Toanalyze the efficacy of combined drug therapy for elderly patients with coronary heart disease and hypertension.METHODS:Sixty-six elderly patients with coronary heart disease and hypertension were enrolled from December 2017 to November 2018. They were randomly divided into two groups, 33 patients in each group. Patients in the experimental group received nifedipine. In combination with enalapril, patients enrolled in the control group received nifedipine monotherapy.RESULTS:Compared with the control group, the total effective rate, Serum Nitric Oxide (Serum NO) after treatment, CRP after treatment, HCY after treatment, and blood pressure after treatment were significantly improved (P<0.05). Serum NO and treatment before treatment in the 2 groups. There was no significant difference in pre-CRP, pre-treatment HCY, pre-treatment blood pressure, and adverse reactions during treatment (P>0.05).Conclusion: Theelderly patients with coronary heart disease and hypertension are treated with nifedipine and enalapril.

MULTI-AGENT INTELLIGENT SYSTEM FOR PREDICTION OF RISK OF CARDIOVASCULAR COMPLICATIONS WITH SYNERGY CHANNELS

2020 ◽  
pp. 177-188
Author(s):  
Ольга Владимировна Шаталова ◽  
Дмитрий Андреевич Медников ◽  
Зейнаб Усама Протасова
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Control Group ◽  
Systems Research ◽  
Multi Agent ◽  
Experimental Group

Цель исследования заключается в повышении качества прогнозирования ишемической болезни сердца путем учета синергетического эффекта наличия сопутствующих заболеваний и факторов профессиональной среды посредством многоагентных интеллектуальных систем. Методы исследования. Для прогнозирования ишемической болезни сердца предложена базовая структура многоагентной интеллектуальной системы, содержащая «сильные» и «слабые» классификаторы. При этом «слабые» классификаторы разделены на четыре группы, первая из которых осуществляет анализ данных, полученных на основе традиционных факторов риска ишемической болезни сердца, вторая - на основе анализа электрокардиологических исследований, третья группа «слабых» классификаторов предназначена для диагностики сопутствующих заболеваний и синдромов по предикторам, используемых первыми двумя группами агентов, а четвертая - анализирует факторы риска окружающей среды. Мультиагентная система позволяет управлять процессом принятия решений посредством сочетания экспертных оценок, статистических данных и текущей информации. Результаты. Проведены экспериментальные исследования различных модификаций предложенной модели классификатора, заключающихся в последовательном исключении из агрегатора решений «слабых» классификаторов на различных иерархических уровнях. В ходе экспериментального оценивания и в результате математического моделирования было показано, что при использовании всех информативных признаков уверенность в правильном прогнозе по риску ишемической болезни сердца превышает величину 0,8. Показатели качества прогнозирования выше, чем у известной системы прогнозирования ишемической болезни сердца - превышает SCORE, в среднем, на 14%. Выводы. Анализ показателей качества классификации в экспериментальной группе обследуемых с различным показателем ишемического риска и в контрольной группе, составленной из машинистов электролокомотивов, для которых релевантными показателями ишемических рисков являются вибрационная болезнь и пребывание в электромагнитных полях, показал, что учет влияния этих факторов риска в контрольной группе повышает диагностическую эффективность на семь процентов по сравнению с экспериментальной группой, выступающей как фоновая The aim of the study is to improve the quality of predicting coronary heart disease by taking into account the synergistic effect of the presence of concomitant diseases and occupational factors through multi-agent intelligent systems. Research methods. To predict coronary heart disease, a basic structure of a multi-agent intelligent system is proposed, which contains “strong” and “weak” classifiers. At the same time, the "weak" classifiers are divided into four groups, the first of which analyzes data obtained on the basis of traditional risk factors for coronary heart disease, the second - based on the analysis of electrocardiological studies, the third group of "weak" classifiers is intended for the diagnosis of concomitant diseases and syndromes based on predictors used by the first two groups of agents, and the fourth analyzes environmental risk factors. The mobile system allows you to manage the decision-making process through a combination of expert assessments, statistical data and current information. Results. Experimental studies of various modifications of the proposed model of the classifier, consisting in the sequential exclusion from the aggregator of decisions of "weak" classifiers at various hierarchical levels, have been carried out. In the course of experimental evaluation and as a result of mathematical modeling, it was shown that when using all informative signs, the confidence in the correct forecast for the risk of coronary heart disease exceeds 0.8. The indicators of the quality of prediction are higher than those of the known predictive system for coronary heart disease - they exceed SCORE, on average, by 14%. Conclusions. Analysis of the classification quality indicators in the experimental group of subjects with different ischemic risk indicators and in the control group made up of electric locomotive drivers, for whom vibration sickness and exposure to electromagnetic fields are relevant indicators of ischemic risks, showed that taking into account the influence of these risk factors in the control group increases diagnostic efficiency by seven percent compared with the experimental group serving as background

scholarly journals Influence of Diversity Nursing on Patients’ Rehabilitation in Cardiology Treatment

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Changling Li ◽  
Aijie He
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Blood Glucose ◽  
Angina Pectoris ◽  
Positive Impact ◽  
Blood Glucose Control ◽  
Nursing Intervention ◽  
Control Group ◽  
The Impact ◽  
Experimental Group

With the improvement of living standards, people have more and more physical health problems. Among them, high-risk cardiovascular diseases such as hypertension, diabetes, and coronary heart disease are the most prominent. The number of cardiology patients is increasing year by year. Effectively improving the treatment of cardiology patients and speeding up the recovery of cardiology patients have become a social problem. This article aims to explore the impact of diverse nursing care on patients in cardiology treatment. This article first gives a detailed introduction to the treatment of diverse nursing and cardiology diseases, then takes 300 cardiology patients in our hospital as experimental subjects, and conducts a controlled experiment of nursing intervention, which is categorized into an experimental group of 150 cases (including 35 cases of hypertension, 46 cases of diabetes, 28 cases of coronary heart disease, 24 cases of angina pectoris, and 17 cases of multiple complications) and a control group of 150 cases (including 30 cases of hypertension, 47 cases of diabetes, 39 cases of coronary heart disease, 21 cases of angina pectoris, and 13 cases of multiple complications). The experimental results showed the following: the general information of the two groups of patients was not statistically different ( P > 0.05 ); after the nursing intervention, the blood glucose levels of the two groups of patients decreased, but the experimental group decreased more significantly and the blood glucose control effect was more obvious; after the intervention, in the experimental group that implemented diversified nursing interventions, the patient’s condition management effect was better and their scores were between 8 and 10; the mental state self-evaluation of the two groups of patients was significantly different from the domestic reference value ( P < 0.05 ), and there is a very significant statistical difference between the two groups after nursing intervention ( P < 0.01 ); after nursing intervention, compared with the control group, the quality of life of the experimental group improved more significantly and the highest score reached about 70; the overall satisfaction of the experimental group with nursing work reached 92%, while the satisfaction of the control group with nursing work was only 44.67%. Studies have shown that diversified care has a positive impact on the rehabilitation of patients in cardiology treatment.

scholarly journals Efficient Data-Mining Algorithm for Predicting Heart Disease Based on an Angiographic Test

2021 ◽  
Vol 28 (5) ◽  
pp. 118-129
Author(s):  
Alabi Waheed Banjoko ◽  
◽  
Kawthar Opeyemi Abdulazeez ◽  
Keyword(s):  
Data Mining ◽  
Support Vector Machine ◽  
Heart Disease ◽  
Cross Validation ◽  
Classification Method ◽  
Support Vector ◽  
Data Mining Algorithm ◽  
Machine Method ◽  
Mining Algorithm ◽  
Splitting Ratio

Background: The computerised classification and prediction of heart disease can be useful for medical personnel for the purpose of fast diagnosis with accurate results. This study presents an efficient classification method for predicting heart disease using a data-mining algorithm. Methods: The algorithm utilises the weighted support vector machine method for efficient classification of heart disease based on a binary response that indicates the presence or absence of heart disease as the result of an angiographic test. The optimal values of the support vector machine and the Radial Basis Function kernel parameters for the heart disease classification were determined via a 10-fold cross-validation method. The heart disease data was partitioned into training and testing sets using different percentages of the splitting ratio. Each of the training sets was used in training the classification method while the predictive power of the method was evaluated on each of the test sets using the Monte-Carlo cross-validation resampling technique. The effect of different percentages of the splitting ratio on the method was also observed. Results: The misclassification error rate was used to compare the performance of the method with three selected machine learning methods and was observed that the proposed method performs best over others in all cases considered. Conclusion: Finally, the results illustrate that the classification algorithm presented can effectively predict the heart disease status of an individual based on the results of an angiographic test.

scholarly journals The Effectiveness of Mindfulness-Based Cognitive Group Therapy on the Quality Of Life and Hope in the Patients with Coronary Heart Disease

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Samaneh Mohamadpour ◽  
Azita Pouyanfar ◽  
Zeinab Najar ◽  
Hasan Jafari ◽  
Soheila Rahmani
Keyword(s):  
Quality Of Life ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Group Therapy ◽  
Control Group ◽  
Life Questionnaire ◽  
Post Test ◽  
Experimental Group

Background and objectives: The aim of this study was examining the effectiveness of mindfulness-based cognitive group therapy on the quality of life and hope in the patients with coronary heart disease. Methods: The present study was quasi-experimental with pre-test, post-test and follow-up with control group. To fulfill the study, 30 patients were selected randomly and were assigned into experimental (n = 15) and control groups (n = 15). To collect the data, participants of both groups completed demographic information sheet, MacNew Heart Disease Health-Related Quality of Life Questionnaire and Miller Hope Scale, respectively of coronary heart disease questionnaire at pre-test, post-test and follow-up (2 months after the intervention). Participants of experimental group received eight 90-minute intervention sessions. Results: The results of the multivariate covariance analysis with repeated measures showed that mean score quality of life(P<0.05), hope (P<0.001) in participants of the experimental group had a significant difference compared to the participants of the control group at post-test and follow-up. Conclusion: results showed that mindfulness – based stress reduction treatment can be effective in improving life quality and hope in coronary heart disease. Implication for further research and possible clinical applications are discussed.

scholarly journals Research on the changes and significance of serum RBP4 level in patients with senior coronary heart disease accompanying diabetes mellitus

2019 ◽  
Vol 6 (1) ◽  
pp. 26
Author(s):  
Qinxue Li ◽  
Biao Ge ◽  
Ruijing Yan ◽  
Yinlong Bai ◽  
Yan Liu
Keyword(s):  
Diabetes Mellitus ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Coronary Artery ◽  
Density Lipoprotein ◽  
Coronary Artery Lesion ◽  
Lipoprotein Cholesterol ◽  
Control Group ◽  
Significant Difference ◽  
Experimental Group

Objective: To explore the significance of serum Retinol binding protein 4 (RBP4) and its relationship with coronary artery lesion in patients with senior coronary heart disease accompanying T2DM by determining the level of serum RBP4 and Gensini score.Methods: 30 cases of patients who were 60 years old above with coronary heart disease accompanying T2DM were selected and included in the experimental group, and 30 cases of patients of 60 years old above with coronary heart disease alone were included in the control group. Both groups of patients were given CAG examinations. In addition, Gensini score was calculated according to different degrees and parts of coronary artery lesion. It was required to record each patient’s age, gender, fasting blood glucose (FPG), triglycerides (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), glycated hemoglobin (HbA1c) and other laboratory examination indexes. ELISA was used to detect the level of serum RBP4 in each group, and statistical analysis was performed to the data in each group.Results: (1) RBP4 level, GS score, FPG and LDL-C in the experimental group were all higher than those in the control group, and the difference was of statistical significance (p < .05). There was no statistically significant difference in age, gender, TC, TG and HDL-C between two groups. (2) RBP4 was positively correlated to FPG and HbA1c. (3) In patients with senior coronary heart disease accompanying diabetes mellitus, HbA1c was positively correlated to GS score, RBP4 and FPG. (4) RBP4 was a risk factor for coronary artery stenosis in patients with senior coronary heart disease accompanying diabetes mellitus.Conclusions: The level of serum RBP4 in patients with senior coronary heart disease accompanying diabetes mellitus is higher than that in patients with coronary heart disease alone, with a deeper degree of coronary artery lesion. The level of serum RBP4 is increased with the degree of lesion deepened in patients with senior coronary heart disease, suggesting that the level of serum RBP4 is expected to be an early predictor of coronary artery lesion for patients with senior coronary heart disease.

scholarly journals STUDY OF THE FEATURES OF THE EMOTIONAL STATE OF ELDERLY WOMEN WITH ISCHEMIC HEART DISEASE

2021 ◽  
Vol 7 (6) ◽  
pp. 89-97
Author(s):  
Bogdana Oniskovets ◽  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Empirical Study ◽  
Emotional State ◽  
Elderly Women ◽  
Psychological State ◽  
Control Group ◽  
Emotional States ◽  
Anxiety Depression ◽  
Experimental Group

The article highlights the results of an empirical study of the psychological components of the emotional state of elderly women with coronary heart disease (CHD), which covered 135 respondents aged 65 to 75 years with coronary heart disease. The aim of the study was to study the psychological components of emotional states of elderly women that can affect the manifestations and course of coronary heart disease, in particular, alexithymia, anxiety, depression, asthenia. It was found that the components of psycho-emotional states of patients with coronary heart disease consist of a set of psychophysiological factors, including: the specifics of emotionally negative states such as anxiety, depression, asthenia, hostility, etc., and the features of the somatic state, themselves manifestations of coronary heart disease and their concomitant changes in the psycho-emotional sphere, in particular the specifics of the traumatic situation for the patient and her personal characteristics. An empirical study found that elderly women with coronary heart disease are characterized by high levels of anxiety, depression, asthenia, mental stress, irritability, suspicion, resentment, neuroticism, secrecy, emotional lability. It is empirically proven that depending on the gender of an individual with coronary heart disease, the psychological components of emotional states differ significantly. It has been studied that women with coronary heart disease have a high level of lability and unstable emotional state. It is established that the emotional state changes rapidly depending on the factors of external and internal stimuli. A labile emotional state is a sign of danger in a person's psychological state, so it can be critical for women with coronary heart disease. Due to the qualitative processing of the obtained results, we found that in the three formed samples - CG, ECG and ECG, the results of the study differed significantly. In the experimental group of men there are no such psycho-emotional phenomena as negativism, irritation, suspicion, resentment and guilt; neuroticism. The results of the control group revealed a high percentage of women at risk. In the experimental group of women, which is the main goal of our study, the outlined phenomena had the highest rate. A number of emotions that contribute to coronary heart disease were identified: dissatisfaction with work, education, life in general; experiencing creative failures, defeats in ambitious desires; insult; frustration caused by the sharp destruction of the usual stereotype of life; constant feeling of inner tension; lack of satisfaction in achieving success; fear; chronic anxiety. From this list of feelings it is clear that they all belong to the register of negative feelings, those that create emotional discomfort. All these feelings are antipodes of feelings that are traditionally considered attributes of a healthy heart, such as: love, courage, courage, joy. The above conditions are special for people with coronary heart disease and have significant differences between male and female groups, and therefore they can be considered as psychophysiological features of elderly women with coronary heart disease. Prospects for further research may be the feasibility of creating a comprehensive program of psychocorrection of emotional states of elderly women with coronary heart disease.

scholarly journals Application Effect of Meticulous Nursing on Community Elderly Patients with Coronary Heart Disease under the Background of Medical Treatment Partnerships

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Wei Hao ◽  
Tian Ma ◽  
Chun Feng
Keyword(s):  
Quality Of Life ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Elderly Patients ◽  
Medical Treatment ◽  
Self Care ◽  
Control Group ◽  
Experimental Group ◽  
Care Agency

Objective. To explore the application effect of meticulous nursing on community elderly patients with coronary heart disease (CHD) under the background of medical treatment partnerships. Methods. A total of 96 elderly CHD patients treated in the community from July 2019 to July 2020 were selected as the research objects and divided into the experimental group (n = 48) and control group (n = 48) by the medical personnel according to their admission order. Clinical routine nursing was performed to the patients in the control group, and meticulous nursing under the background of medical treatment partnerships was conducted to the patients in the experimental group, so as to evaluate their quality of life (QOL) and self-care agency after intervention by the Chinese Questionnaire on Quality of Life in Patients with Cardiovascular Disease (CQQC) and Exercise of Self-Care Agency (ESCA) scale. Results. Compared with the control group after intervention, the patients in the experimental group presented significantly higher ESCA scores, HHI scores, and CQQC scores and longer 6 min walking distance ( P < 0.001 ) and remarkably lower POMS scores ( P < 0.001 ) and had obviously higher numbers of cases with various health-related actions ( P < 0.05 ). Conclusion. Meticulous nursing under the background of medical treatment partnerships is a reliable method for improving the QOL and mood state of community elderly CHD patients, which greatly promotes patients’ self-care agency and expectation. Further research will be conducive to establishing a better solution for patients.

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