A Proposal for Early Detection of Heart Disease Using a Classification Model

2021 ◽  
pp. 360-367
Author(s):  
Sarita Mishra ◽  
Manjusha Pandey ◽  
Siddharth Swarup Rautaray ◽  
Mahendra Kumar Gourisaria
Keyword(s):  
Heart Disease ◽  
Early Detection ◽  
Classification Model

Deteksi Dini Faktor Risiko Penyakit Kardiovaskuler pada Pegawai Rektorat Universitas Mataram

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ida Ayu Eka Widiastuti ◽  
Rifana Cholidah ◽  
Gede Wira Buanayuda ◽  
Ida Bagus Alit
Keyword(s):  
Cardiovascular Disease ◽  
Heart Disease ◽  
Early Detection ◽  
Blood Vessel ◽  
Total Cholesterol ◽  
Hdl Cholesterol ◽  
Mean Value ◽  
World Health ◽  
Fat Percentage ◽  
Vessel Disease

Currently, the number of non-communicable diseases (PTM) is quite large and causes considerable morbidity and mortality. Globally PTM the number one cause of death every year is heart disease and blood vessels (cardiovascular). Data from the World Health Organization (WHO) states that more than 17 million people worldwide die from heart and blood vessel disease. Based on data from Riset Kesehatan Dasar (Riskesdas) in 2018, the incidence of heart and blood vessel disease has increased from year to year. At least, 15 out of 1000 people, or about 2,784,064 individuals in Indonesia suffer from heart disease. Cardiovascular disease often attacks productive age. Early detection is very important as a primary and secondary prevention of cardiovascular disease. The participants of this activity were 32 employees of the Mataram University Rectorate. Early detection of risk factors for cardiovascular disease is carried out through several tests: (1) anthropometric examinations, including body weight, height, body mass index, waist circumference, and body fat percentage, (2) blood pressure, and (3) blood samples examintaion to check fasting blood sugar levels and lipid profiles, which include triglyceride levels, total cholesterol, HDL cholesterol, and LDL cholesterol. From the results of the activity, it was found that the mean value of all types of examinations was abnormal, except for the levels of triglycerides and total cholesterol. Thus, in general, it can be said that participants have a high enough risk factor for cardiovascular disease.

Screening children at risk for developmental disabilities based on face landmark from video data of mobile-based application: Cross-Sectional Study (Preprint)

2021 ◽  
Author(s):  
Yu Rang Park ◽  
Sang Ho Hwang ◽  
Yeonsoo Yu ◽  
Jichul Kim ◽  
Taeyeop Lee ◽  
...  
Keyword(s):  
Deep Learning ◽  
Developmental Disabilities ◽  
Early Detection ◽  
Short Term Memory ◽  
Preliminary Evidence ◽  
Cross Sectional Study ◽  
Important Variable ◽  
Video Data ◽  
Classification Model ◽  
Cross Sectional

BACKGROUND Early detection and intervention of developmental disabilities (DDs) are critical for improving the long-term outcomes of the afflicted children. Mobile-based applications are easily accessible and may thus help the early identification of DDs. OBJECTIVE We aimed to identify facial expression and head pose based on face landmark data extracted from face recording videos and to differentiate the characteristics between children with DDs and those without. METHODS Eighty-nine children (DD, n=33; typically developing, n=56) were included in the analysis. Using the mobile-based application, we extracted facial landmarks and head poses from the recorded videos and performed Long Short-Term Memory(LSTM)-based DD classification. RESULTS Stratified k-fold cross-validation showed that the average values of accuracy, precision, recall, and f1-score of the LSTM based deep learning model of DD children were 88%, 91%,72%, and 80%, respectively. Through the interpretation of prediction results using SHapley Additive exPlanations (SHAP), we confirmed that the nodding head angle variable was the most important variable. All of the top 10 variables of importance had significant differences in the distribution between children with DDs and those without (p<0.05). CONCLUSIONS Our results provide preliminary evidence that the deep-learning classification model using mobile-based children’s video data could be used for the early detection of children with DDs.

Cardiovascular complications of novel multiple myeloma treatments

ESC CardioMed ◽  
2018 ◽  
pp. 1176-1178
Author(s):  
Daniel J. Lenihan
Keyword(s):  
Heart Failure ◽  
Multiple Myeloma ◽  
Heart Disease ◽  
Early Detection ◽  
Antithrombotic Therapy ◽  
Cardiovascular Events ◽  
Cardiovascular Complications ◽  
Novel Therapies ◽  
Cardiac Events ◽  
Increased Risk

The treatment of multiple myeloma has dramatically changed in the last decade. Novel therapies have had an important impact on the overall outcome for patients but are associated with important cardiovascular events. There is certainly concern about the development of heart failure but also treatment-induced hypertension and a known increased risk of thrombotic events, including ischaemic heart disease. The management of these cardiac events includes prevention, early detection, and optimal treatment with antithrombotic therapy as well as medical therapy for heart failure.

scholarly journals Incidence of Congenital Heart Disease among Hospital Live Birth in a Tertiary Hospital of Bangladesh

1970 ◽  
Vol 1 (1) ◽  
pp. 14-20 ◽  
Author(s):  
NN Fatema ◽  
RB Chowdhury ◽  
L Chowdhury
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Early Detection ◽  
Live Birth ◽  
Congenital Heart ◽  
Septal Defect ◽  
Ductus Arteriosus ◽  
Military Hospital ◽  
Live Births ◽  
Paediatric Cardiologist

Background: Incidence of congenital heart disease is 8-10/1000 live birth which is established by many studies carried out in many centers worldwide. In Bangladesh no incidence study was carried out so far. Newborn children presenting with various forms of congenital heart disease is a common problem now a days. Neonatologists and paediatricians are now more conscious about early detection and treatment of newborn with congenital heart diseases. Diagnostic facilities are also available in many places. So an individual incidence record from an ideal center of our country is a demand of the time which led carrying out this study. Methods: This prospective study was carried out in Combined Military Hospital (CMH) Dhaka over a period of three years (2004 – 2006). All five thousand six hundred and sixty eight live births weighing more than 500 gm and more than 28 weeks gestational period were subjected to a thorough clinical examination within 72 hours of birth. Those suspected to have any form of congenital heart disease (CHD) were followed up every 4-6 wks for a period of 12 months. Echocardiography with color Doppler was performed in all these newborn including those who reported late but were delivered in obstetrics department of Combined Military Hospital Dhaka. Result: One hundred forty two babies out of 5668 live birth had CHD, ie, 25/1000 live births. Incidence of CHD was higher in pre terms as compared to full term live birth. Some of the patients (18.30%) has other associated somatic anomalies among which Down’s syndrome was commonest (9.15%). Most common congenital heart lesions were Atrial Septal Defect (ASD-26%), Ventricular Septal Defect (VSD-16.9%), Patent Ductus Arteriosus (PDA-18%), Tetralogy of Fallot (TOF-14%), Pulmonary Stenosis (PS-7.75%) etc. Those who were found to have congenital heart disease were managed accordingly. Some patients had spontaneous closure of defects in first year follow up period. Conclusion: The incidence of Congenital Heart Disease (CHD) depends upon various factors like nature of the samples (all live birth or all birth) or on the spot examination by a Paediatric cardiologist. A hospital which has Obstetric, Neonatal and Paediatric cardiology unit can carried out this kind of study successfully. In this study screening of asymptomatic high risk neonates also contributes in early detection of many trivial lesions. Severe lesions were also detected by the paediatric cardiologist who usually expire before being referred from other hospitals and before being diagnosis is established. So a higher incidence rate is recorded in this study. Key words: Congenital heart disease; Echocardiography DOI: http://dx.doi.org/10.3329/cardio.v1i1.8199 Cardiovasc. j. 2008; 1(1) : 14-20  

scholarly journals Early detection of ventricular arrhythmias in adults with congenital heart disease using an insertable cardiac monitor (EDVA-CHD study)

2020 ◽  
Vol 305 ◽  
pp. 63-69 ◽  
Author(s):  
Rafi Sakhi ◽  
Robert M. Kauling ◽  
Dominic A. Theuns ◽  
Tamas Szili-Torok ◽  
Rohit E. Bhagwandien ◽  
...  
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Early Detection ◽  
Ventricular Arrhythmias ◽  
Congenital Heart ◽  
Cardiac Monitor ◽  
Insertable Cardiac Monitor
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