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您的检索式：作者名="Yusof Suboh"
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| 1 | Cardiovascular Disease Prediction Among the Malaysian Cohort Participants Using Electrocardiogram显示文摘A comprehensive study was conducted to differentiate cardiovascular disease (CVD) subjects from non-CVD subjects using short recording electrocardiogram (ECG) of 244 Malaysian adults in The MalaysianCohort project. An automated peak detection algorithm to detect nine fiducialpoints of electrocardiogram (ECG) was developed. Forty-eight features wereextracted in both time and frequency domains, including statistical featuresobtained from heart rate variability and Poincare plot analysis. These includefive new features derived from spectrum counts of five different frequencyranges. Feature selection was then made based on p-value and correlationmatrix. Selected features were used as input for five classifiers of artificialneural network (ANN), k-nearest neighbors (kNN), support vector machine(SVM), discriminant analysis (DA), and decision tree (DT). Results showedthat six features related to T wave were statistically significant in distinguishingCVD and non-CVD groups. ANN had performed the best with 94.44% specificity and 86.3% accuracy, followed by kNN with 80.56% specificity, 86.49%sensitivity and 83.56% accuracy. The novelties of this study were in providingalternative solutions to detect P-onset, P-offset, T-offset as well as QRS-onsetpoints using discrete wavelet transform method. Additionally, two out of thefive newly proposed spectral features were significant in differentiating bothgroups, at frequency ranges of 1–10 Hz and 5–10 Hz. The prediction outcomeswere also comparable to previous related studies and significantly importantin using ECG to predict cardiac-related events among CVD and non-CVDsubjects in the Malaysian population. | Mohd Zubir Suboh Nazrul Anuar Nayan Noraidatulakma Abdullah Nurul Ain Mhd Yusof Mariatul Akma Hamid Azwa Shawani Kamalul Arinfin Syakila Mohd Abd Daud Mohd Arman Kamaruddin Rosmina Jaafar Rahman Jamal | 2022 | Computers, Materials & Continua2022，，4： | 0 |
| 2 | Trichomonas vaginalis infection in a low-risk women attended in Obstetrics and Gynaecology Clinic, Universiti Kebangsaan Malaysia Medical Centre显示文摘Objective: To investigate the presence of trichomoniasis among women attending the Obstetrics and Gynaecology Clinic, Universiti Kebangsaan Malaysia Medical Centre.Methods: A total of 139 high vaginal swabs were taken from the subjects and sent to the laboratory in Amies gel transport media. The specimens were examined for the presence of Trichomonas vaginalis using wet mount, Giemsa staining and cultured in Diamond's medium. Sociodemographic characteristics and gynaecological complaints were obtained in private using structured questionnaire applied by one investigator.Results: The median age was 32 years, with an interquartile interval of 9.96. Most of the subjects were Malays(76.9%) and the remaining were Chinese(15.1%), Indians(2.2%)and other ethnic groups(5.8%). One hundred and thirty eight(99.3%) of the women were married and 98.6% had less than 6 children. More than half(75.5%) of the women's last child birth was less than 6 years ago. Forty seven percent of them were involved in supporting administrative work and 64.7% of the women gave a history of previous or current vaginal discharge.Conclusions: The present study reported zero incidence rate of trichomoniasis. The low incidence rate was postulated due to all women who participated in this study were categorized into a low-risk group. | Norhayati Moktar Nor Liyana Ismail Phoy Cheng Chun Mohamad Asyrab Sapie Nor Farahin Abdul Kahar Yusof Suboh Noraina Abdul Rahim Nor Azlin Mohamed Ismail Tengku Shahrul Anuar | 2016 | Asian Pacific Journal of Tropical Biomedicine2016，6，8： | 0 |
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