Syncope is the medical condition of loss of consciousness triggered by the momentary cessation of blood flow to the brain. Machine learning techniques have been established to be very effective way to address such problems, where a class label is predicted for given input data. This work presents a Support Vector Machine (SVM) based classification of neuro-mediated syncope evaluated using train–test–split and K-fold cross-validation methods using the patient’s physiological data collected through the Head-up Tilt Test in pure clinical settings. The performance of the model has been analyzed over standard statistical performance indices. The experimental results prove the effectiveness of using SVM-based classification for the proactive diagnosis of syncope.

We study the random walk behavior of Chittagong Stock Exchange (CSE) by using daily returns of three indices for the period of 2006 to 2016 employing both non-parametric test (run test) and parametric tests [autocorrelation coefficient test, Ljung-Box (LB) statistics]. The skewness and kurtosis properties of daily return series are non-normal, with a hint of positively skewed and leptokurtic distribution. The results of run test; autocorrelation and Ljung-Box (LB) statistics provide evidences against random walk behavior in the Chittagong Stock Exchange. Overall our result suggest that Chittagong Stock Exchange does not exhibit weak form of efficiency. Hence, there is opportunity of generating a superior return by the active investors.

To find out distribution of cardiovascular risk factors for women in established coronary artery disease. Study Design: Retrospective cross sectional descriptive study. Place and Duration of Study: Private clinic of consultant cardiologist at Bahawalpur from June 2013 to December 2015. Methodology: Total 6345 patients were registered and only 820 female patients were diagnosed cases of ischemic heart disease selected for analysis of their cardiovascular risk factors. Results: The overall mean age of women was 57.75±11.28 years, weight was 66.3±15.14 kilogram, height was 153.77±7.87 cm, body mass index (BMI) was 27.89±6 kg/m 2 and body surface area (BSA) was 1.76±0.28 m 2. Significantly high frequency of obesity was found in premenopausal women as compared to other group i.e. 56.5% with p value <0.0001. BMI was also high in premenopausal women 32.13±7.91 then perimenopausal women, postmenopausal women and women with hysterectomy 28.06±6.93, 27.84±5.51 and 27.33±6.03 respectively. The overall weight is also more in premenopausal group as compared to postmenopausal, perimenopasaul and hysterectomy group i.e. 77.54±21.18, 66.46±13.66, 66.07±16.33 and 64.41±15.31 respectively and P Value was <0.0001. There was no difference found when DM, HTN and smoking compared within these four group. Smoking, CVA and PCI or CABG were 13(1.5%), 30(3.7%) and 13(1.5%) women respectively. Conclusion: Hypertension and DM are most common risk factor in women with IHD. Weight, BMI and different class of obesity are more common in younger age group as compare to older age. Smoking, PCI and CABG are very less frequent in women in this area.

Objectives: To determine the frequency and outcome of right ventricular infarct inpatients with inferior wall myocardial infarction during hospital stay. Study Design: Descriptivecase series. Place and duration of study: The study was carried out in cardiology department ofBahawal Victoria Hospital Bahawalpur from 13th January 2013 to 12th July 2014. Methodology:A total of 145 patients of inferior wall myocardial infarction were enrolled. Right sided ECG wasrecorded to detect RV infarction in V4R lead. Patients with RV infarction were followed for highdegree AV block and in hospital mortality till discharge. Results: A total of 145 patients wereincluded in the study. Mean age of patients was 53.54 11.3 years. Out of 145 patients, 84(57.93%) were male and 61 (42.07%) were female. Out of 145 patients, 51(35.17%) patientshad right ventricular infarct. In 51 patients with right ventricular infarct, 5 (9.8%) patients expiredwhile 20 (39.2%) had 3rd degree AV blocks. Conclusion: Patients with inferior myocardialinfarction who also have right ventricular myocardial involvement are at increased risk of deathand 3rd degree (complete) AV block.

To determine the frequency and outcome of right ventricular infarct in patients with inferior wall myocardial infarction during hospital stay. Study Design: Descriptive case series. Place and duration of study: The study was carried out in cardiology department of Bahawal Victoria Hospital Bahawalpur from 13th January 2013 to 12th July 2014. Methodology: A total of 145 patients of inferior wall myocardial infarction were enrolled. Right sided ECG was recorded to detect RV infarction in V4R lead. Patients with RV infarction were followed for high degree AV block and in hospital mortality till discharge. Results: A total of 145 patients were included in the study. Mean age of patients was 53.54 11.3 years. Out of 145 patients, 84 (57.93%) were male and 61 (42.07%) were female. Out of 145 patients, 51(35.17%) patients had right ventricular infarct. In 51 patients with right ventricular infarct, 5 (9.8%) patients expired while 20 (39.2%) had 3rd degree AV blocks. Conclusion: Patients with inferior myocardial infarction who also have right ventricular myocardial involvement are at increased risk of death and 3 rd degree (complete) AV block.