Displaying publications 21 - 40 of 65 in total

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  1. Abdulrauf Sharifai G, Zainol Z
    Genes (Basel), 2020 06 27;11(7).
    PMID: 32605144 DOI: 10.3390/genes11070717
    The training machine learning algorithm from an imbalanced data set is an inherently challenging task. It becomes more demanding with limited samples but with a massive number of features (high dimensionality). The high dimensional and imbalanced data set has posed severe challenges in many real-world applications, such as biomedical data sets. Numerous researchers investigated either imbalanced class or high dimensional data sets and came up with various methods. Nonetheless, few approaches reported in the literature have addressed the intersection of the high dimensional and imbalanced class problem due to their complicated interactions. Lately, feature selection has become a well-known technique that has been used to overcome this problem by selecting discriminative features that represent minority and majority class. This paper proposes a new method called Robust Correlation Based Redundancy and Binary Grasshopper Optimization Algorithm (rCBR-BGOA); rCBR-BGOA has employed an ensemble of multi-filters coupled with the Correlation-Based Redundancy method to select optimal feature subsets. A binary Grasshopper optimisation algorithm (BGOA) is used to construct the feature selection process as an optimisation problem to select the best (near-optimal) combination of features from the majority and minority class. The obtained results, supported by the proper statistical analysis, indicate that rCBR-BGOA can improve the classification performance for high dimensional and imbalanced datasets in terms of G-mean and the Area Under the Curve (AUC) performance metrics.
    Matched MeSH terms: Data Interpretation, Statistical
  2. Noh, C.H.C., Azmin, N.F.M., Amid, A., Asnawi, A.L.
    MyJurnal
    Bioactive compounds are one of the natural products used especially for medicinal, pharmaceutical and food application. Increasing research performed on the extraction, isolation and identification of bioactive compounds, however non to date has explored on the identification of flavonoids classes. Therefore, this study was focused on the development of algorithm for rapid identification of flavonoids classes which are flavanone, flavone and flavonol and also their derivatives. Fourier Transform Infrared (FTIR) spectroscopy coupled with multivariate statistical data analysis, which is Principal Component Analysis (PCA) was utilized. The results exhibited that few significant wavenumber range provides the identification and characterization of the flavonoids classes based on PCA algorithm. The study concluded that FTIR coupled with PCA analysis can be used as a molecular fingerprint for rapid identification of flavonoids.
    Matched MeSH terms: Data Interpretation, Statistical
  3. Farhana Sabri, Zahidah Mustafa, Mohd Yahya Mohamed Ariffin
    MyJurnal
    The number of relapsing addicts is increasingly worrying from year to year. This study was conducted
    to examine at the relationship between defense mechanisms and the level of readiness to change in
    relapsing addicts. Although the drug addicts have been treated at the treatment center, however,
    repeated cases of drug addicts still occur. Six research questions were developed to see how far the
    variables consisting of defense mechanisms could correlate with readiness to change among addicts
    who were undergoing treatment. This study was carried out involving 125 addicts in two separate
    treatment centers in Melaka and Selangor. The selected sample were addicts who have undergone a
    relapse phase at least once in drug addiction. Statistical data analysis using Statistical Packages for
    Social Sciences 20 (SPSS-20) were used to analyze the data. Statistical descriptive is used to view the
    results of demographic data constructed. T-test and ANOVA are used to see the relationship between
    the variables. The regression analysis is used to predict the defense mechanisms with the stage of
    readiness to change among relapsing addicts. The results showed that the defense mechanism had a
    significant relationship to the stage of readiness to change among samples. The results of this study
    provide information on treatment services in the drug rehabilitation to improve the treatment method
    appropriately to the drug addicts in preventing relapse.
    Matched MeSH terms: Data Interpretation, Statistical
  4. Yin LK, Rajeswari M
    Biomed Mater Eng, 2014;24(6):3333-41.
    PMID: 25227043 DOI: 10.3233/BME-141156
    To segment an image using the random walks algorithm; users are often required to initialize the approximate locations of the objects and background in the image. Due to its segmenting model that is mainly reflected by the relationship among the neighborhood pixels and its boundary conditions, random walks algorithm has made itself sensitive to the inputs of the seeds. Instead of considering the relationship between the neighborhood pixels solely, an attempt has been made to modify the weighting function that accounts for the intensity changes between the neighborhood nodes. Local affiliation within the defined neighborhood region of the two nodes is taken into consideration by incorporating an extra penalty term into the weighting function. Besides that, to better segment images, particularly medical images with texture features, GLCM variance is incorporated into the weighting function through kernel density estimation (KDE). The probability density of each pixel belonging to the initialized seeds is estimated and integrated into the weighting function. To test the performance of the proposed weighting model, several medical images that mainly made up of 174-brain tumor images are experimented. These experiments establish that the proposed method produces better segmentation results than the original random walks.
    Matched MeSH terms: Data Interpretation, Statistical*
  5. Noor NM, Yunus A, Bakar SA, Hussin A, Rijal OM
    Comput Med Imaging Graph, 2011 Apr;35(3):186-94.
    PMID: 21036539 DOI: 10.1016/j.compmedimag.2010.10.002
    This paper investigates a novel statistical discrimination procedure to detect PTB when the gold standard requirement is taken into consideration. Archived data were used to establish two groups of patients which are the control and test group. The control group was used to develop the statistical discrimination procedure using four vectors of wavelet coefficients as feature vectors for the detection of pulmonary tuberculosis (PTB), lung cancer (LC), and normal lung (NL). This discrimination procedure was investigated using the test group where the number of sputum positive and sputum negative cases that were correctly classified as PTB cases were noted. The proposed statistical discrimination method is able to detect PTB patients and LC with high true positive fraction. The method is also able to detect PTB patients that are sputum negative and therefore may be used as a complement to the gold standard.
    Matched MeSH terms: Data Interpretation, Statistical*
  6. Kalid N, Zaidan AA, Zaidan BB, Salman OH, Hashim M, Albahri OS, et al.
    J Med Syst, 2018 Mar 02;42(4):69.
    PMID: 29500683 DOI: 10.1007/s10916-018-0916-7
    This paper presents a new approach to prioritize "Large-scale Data" of patients with chronic heart diseases by using body sensors and communication technology during disasters and peak seasons. An evaluation matrix is used for emergency evaluation and large-scale data scoring of patients with chronic heart diseases in telemedicine environment. However, one major problem in the emergency evaluation of these patients is establishing a reasonable threshold for patients with the most and least critical conditions. This threshold can be used to detect the highest and lowest priority levels when all the scores of patients are identical during disasters and peak seasons. A practical study was performed on 500 patients with chronic heart diseases and different symptoms, and their emergency levels were evaluated based on four main measurements: electrocardiogram, oxygen saturation sensor, blood pressure monitoring, and non-sensory measurement tool, namely, text frame. Data alignment was conducted for the raw data and decision-making matrix by converting each extracted feature into an integer. This integer represents their state in the triage level based on medical guidelines to determine the features from different sources in a platform. The patients were then scored based on a decision matrix by using multi-criteria decision-making techniques, namely, integrated multi-layer for analytic hierarchy process (MLAHP) and technique for order performance by similarity to ideal solution (TOPSIS). For subjective validation, cardiologists were consulted to confirm the ranking results. For objective validation, mean ± standard deviation was computed to check the accuracy of the systematic ranking. This study provides scenarios and checklist benchmarking to evaluate the proposed and existing prioritization methods. Experimental results revealed the following. (1) The integration of TOPSIS and MLAHP effectively and systematically solved the patient settings on triage and prioritization problems. (2) In subjective validation, the first five patients assigned to the doctors were the most urgent cases that required the highest priority, whereas the last five patients were the least urgent cases and were given the lowest priority. In objective validation, scores significantly differed between the groups, indicating that the ranking results were identical. (3) For the first, second, and third scenarios, the proposed method exhibited an advantage over the benchmark method with percentages of 40%, 60%, and 100%, respectively. In conclusion, patients with the most and least urgent cases received the highest and lowest priority levels, respectively.
    Matched MeSH terms: Data Interpretation, Statistical*
  7. Ovesen C, Jakobsen JC, Gluud C, Steiner T, Law Z, Flaherty K, et al.
    BMC Res Notes, 2018 Jun 13;11(1):379.
    PMID: 29895329 DOI: 10.1186/s13104-018-3481-8
    OBJECTIVE: We present the statistical analysis plan of a prespecified Tranexamic Acid for Hyperacute Primary Intracerebral Haemorrhage (TICH)-2 sub-study aiming to investigate, if tranexamic acid has a different effect in intracerebral haemorrhage patients with the spot sign on admission compared to spot sign negative patients. The TICH-2 trial recruited above 2000 participants with intracerebral haemorrhage arriving in hospital within 8 h after symptom onset. They were included irrespective of radiological signs of on-going haematoma expansion. Participants were randomised to tranexamic acid versus matching placebo. In this subgroup analysis, we will include all participants in TICH-2 with a computed tomography angiography on admission allowing adjudication of the participants' spot sign status.

    RESULTS: Primary outcome will be the ability of tranexamic acid to limit absolute haematoma volume on computed tomography at 24 h (± 12 h) after randomisation among spot sign positive and spot sign negative participants, respectively. Within all outcome measures, the effect of tranexamic acid in spot sign positive/negative participants will be compared using tests of interaction. This sub-study will investigate the important clinical hypothesis that spot sign positive patients might benefit more from administration of tranexamic acid compared to spot sign negative patients. Trial registration ISRCTN93732214 ( http://www.isrctn.com ).

    Matched MeSH terms: Data Interpretation, Statistical*
  8. Gan HS, Swee TT, Abdul Karim AH, Sayuti KA, Abdul Kadir MR, Tham WK, et al.
    ScientificWorldJournal, 2014;2014:294104.
    PMID: 24977191 DOI: 10.1155/2014/294104
    Well-defined image can assist user to identify region of interest during segmentation. However, complex medical image is usually characterized by poor tissue contrast and low background luminance. The contrast improvement can lift image visual quality, but the fundamental contrast enhancement methods often overlook the sudden jump problem. In this work, the proposed bihistogram Bezier curve contrast enhancement introduces the concept of "adequate contrast enhancement" to overcome sudden jump problem in knee magnetic resonance image. Since every image produces its own intensity distribution, the adequate contrast enhancement checks on the image's maximum intensity distortion and uses intensity discrepancy reduction to generate Bezier transform curve. The proposed method improves tissue contrast and preserves pertinent knee features without compromising natural image appearance. Besides, statistical results from Fisher's Least Significant Difference test and the Duncan test have consistently indicated that the proposed method outperforms fundamental contrast enhancement methods to exalt image visual quality. As the study is limited to relatively small image database, future works will include a larger dataset with osteoarthritic images to assess the clinical effectiveness of the proposed method to facilitate the image inspection.
    Matched MeSH terms: Data Interpretation, Statistical
  9. Manaf H, Justine M, Ting GH, Latiff LA
    Top Stroke Rehabil, 2014 Mar-Apr;21(2):128-36.
    PMID: 24710973 DOI: 10.1310/tsr2102-128
    Little is known about the effects of attentional loading on performance of turning during walking in individuals with stroke.
    Matched MeSH terms: Data Interpretation, Statistical
  10. Haerian BS, Roslan H, Raymond AA, Tan CT, Lim KS, Zulkifli SZ, et al.
    Seizure, 2010 Jul;19(6):339-46.
    PMID: 20605481 DOI: 10.1016/j.seizure.2010.05.004
    The C3435T, a major allelic variant of the ABCB1 gene, is proposed to play a crucial role in drug-resistance in epilepsy. The C/C genotype carriers reportedly are at higher risk of pharmacoresistance to AEDs, but only in some studies. The hypothesis of the C-variant associated risk and resistance to antiepileptic drugs (AEDs) has been hampered by conflicting results from inadequate power in case-control studies. To assess the role of C3435T polymorphism in drug-resistance in epilepsy, a systematic review and meta-analysis was conducted.
    Matched MeSH terms: Data Interpretation, Statistical
  11. Chik Z, Johnston A, Tucker AT, Kirby K, Alam CA
    Int J Clin Pharmacol Ther, 2009 Apr;47(4):262-8.
    PMID: 19356392
    Circulating concentrations of endogenous compounds such as testosterone, complicate the analysis of pharmacokinetic parameters when these compounds are administered exogenously. This study examines the influence of three correction methods of accounting for endogenous concentrations on the determination of bioequivalence between two testosterone formulations.
    Matched MeSH terms: Data Interpretation, Statistical
  12. Lim YY, Prang KH, Cysique L, Pietrzak RH, Snyder PJ, Maruff P
    Behav Res Methods, 2009 Nov;41(4):1190-200.
    PMID: 19897828 DOI: 10.3758/BRM.41.4.1190
    Verbal memory tests-although important to the neuropsychological assessment of memory-are biased to many cultures. In the present article, we highlighted the limitations associated with the direct translation of tests and word matching, as well as the lack of ecological validity and cultural appropriateness when tests developed in one culture are used in another. To overcome these limitations, a verbal memory paradigm was developed that framed the memory assessment with a shopping-list format, but that developed culturally specific stimuli for the different language groups. The aim of the present study was to determine the equivalence of this shopping list memory test in different cultural and language groups. Eighty-three adults from English-, French-, Malay-, and Chinese-speaking cultures participated in four experiments. The results of all the experiments indicated that performance of verbal list learning is equivalent, irrespective of the language used. These results support the use of this methodology for minimizing cross-cultural test bias, and have important implications for testing culturally and linguistically diverse individuals.
    Matched MeSH terms: Data Interpretation, Statistical
  13. Mohd Suki N, Chwee Lian JC, Suki NM
    J Hosp Mark Public Relations, 2009;19(2):113-28.
    PMID: 19827322 DOI: 10.1080/15390940903041567
    In today's highly competitive health care environment, many private health care settings are now looking into customer service indicators to learn customers' perceptions and determine whether they are meeting customers' expectations in order to ensure that their customers are satisfied with the services. This research paper aims to investigate whether the human elements were more important than the nonhuman elements in private health care settings. We used the internationally renowned SERVQUAL five-dimension model plus three additional dimensions-courtesy, communication, and understanding of customers of the human element-when evaluating health care services. A total of 191 respondents from three private health care settings in the Klang Valley region of Malaysia were investigated. Descriptive statistics were calculated by the Statistical Package for Social Sciences (SPSS) computer program, version 15. Interestingly, the results suggested that customers nowadays have very high expectations especially when it comes to the treatment they are receiving. Overall, the research indicated that the human elements were more important than the nonhuman element in private health care settings. Hospital management should look further to improve on areas that have been highlighted. Implications for management practice and directions for future research are discussed.
    Matched MeSH terms: Data Interpretation, Statistical
  14. Bari MN, Alam MZ, Muyibi SA, Jamal P, Abdullah-Al-Mamun
    Bioresour Technol, 2009 Jun;100(12):3113-20.
    PMID: 19231166 DOI: 10.1016/j.biortech.2009.01.005
    A sequential optimization based on statistical design and one-factor-at-a-time (OFAT) method was employed to optimize the media constituents for the improvement of citric acid production from oil palm empty fruit bunches (EFB) through solid state bioconversion using Aspergillus niger IBO-103MNB. The results obtained from the Plackett-Burman design indicated that the co-substrate (sucrose), stimulator (methanol) and minerals (Zn, Cu, Mn and Mg) were found to be the major factors for further optimization. Based on the OFAT method, the selected medium constituents and inoculum concentration were optimized by the central composite design (CCD) under the response surface methodology (RSM). The statistical analysis showed that the optimum media containing 6.4% (w/w) of sucrose, 9% (v/w) of minerals and 15.5% (v/w) of inoculum gave the maximum production of citric acid (337.94 g/kg of dry EFB). The analysis showed that sucrose (p<0.0011) and mineral solution (p<0.0061) were more significant compared to inoculum concentration (p<0.0127) for the citric acid production.
    Matched MeSH terms: Data Interpretation, Statistical
  15. Khoo YS, Aziz Z
    J Clin Pharm Ther, 2009 Apr;34(2):133-45.
    PMID: 19250134 DOI: 10.1111/j.1365-2710.2008.00998.x
    Prevention of cardiovascular disease by modifying its major risk factors, including serum cholesterol levels, is an important strategy. Regular intake of garlic has been suggested, but its impact on cholesterol levels has been inconsistent.
    Matched MeSH terms: Data Interpretation, Statistical
  16. Ong HC, Soo KL
    Med J Malaysia, 2006 Dec;61(5):616-20.
    PMID: 17623964 MyJurnal
    It has been almost two decades ago since the first AIDS case was reported in Malaysia. It has also been approximately eight years ago when the method of backcalculation was used to estimate the past HIV infection rate from the AIDS incidence data and an estimate of the incubation period distribution. This method is used because it makes use of the Malaysian AIDS incidence which is fairly reliable and reflects the trend of the epidemic as compared to the HIV infection rate recorded. The latest results generated show a slowdown in the increase of the number of estimated infected HIV+ cases in the late 1990s and this trend is supported by a slowdown in the increase of the number of AIDS cases recorded.
    Matched MeSH terms: Data Interpretation, Statistical
  17. Teoh AB, Goh A, Ngo DC
    IEEE Trans Pattern Anal Mach Intell, 2006 Dec;28(12):1892-901.
    PMID: 17108365
    Biometric analysis for identity verification is becoming a widespread reality. Such implementations necessitate large-scale capture and storage of biometric data, which raises serious issues in terms of data privacy and (if such data is compromised) identity theft. These problems stem from the essential permanence of biometric data, which (unlike secret passwords or physical tokens) cannot be refreshed or reissued if compromised. Our previously presented biometric-hash framework prescribes the integration of external (password or token-derived) randomness with user-specific biometrics, resulting in bitstring outputs with security characteristics (i.e., noninvertibility) comparable to cryptographic ciphers or hashes. The resultant BioHashes are hence cancellable, i.e., straightforwardly revoked and reissued (via refreshed password or reissued token) if compromised. BioHashing furthermore enhances recognition effectiveness, which is explained in this paper as arising from the Random Multispace Quantization (RMQ) of biometric and external random inputs.
    Matched MeSH terms: Data Interpretation, Statistical
  18. Guure CB, Ibrahim NA, Adam MB
    Comput Math Methods Med, 2013;2013:849520.
    PMID: 23476718 DOI: 10.1155/2013/849520
    Interval-censored data consist of adjacent inspection times that surround an unknown failure time. We have in this paper reviewed the classical approach which is maximum likelihood in estimating the Weibull parameters with interval-censored data. We have also considered the Bayesian approach in estimating the Weibull parameters with interval-censored data under three loss functions. This study became necessary because of the limited discussion in the literature, if at all, with regard to estimating the Weibull parameters with interval-censored data using Bayesian. A simulation study is carried out to compare the performances of the methods. A real data application is also illustrated. It has been observed from the study that the Bayesian estimator is preferred to the classical maximum likelihood estimator for both the scale and shape parameters.
    Matched MeSH terms: Data Interpretation, Statistical
  19. Zaki R, Bulgiba A, Ismail NA
    Prev Med, 2013;57 Suppl:S80-2.
    PMID: 23313586 DOI: 10.1016/j.ypmed.2013.01.003
    The Bland-Altman method is the most popular method used to assess the agreement of medical instruments. The main concern about this method is the presence of proportional bias. The slope of the regression line fitted to the Bland-Altman plot should be tested to exclude proportional bias. The aim of this study was to determine whether the overestimation of bias in the Bland-Altman analysis is still present even when the proportional bias has been excluded.
    Matched MeSH terms: Data Interpretation, Statistical
  20. Lim KS, Hills MD, Choo WY, Wong MH, Wu C, Tan CT
    Epilepsy Res, 2013 Oct;106(3):433-9.
    PMID: 23886655 DOI: 10.1016/j.eplepsyres.2013.06.014
    INTRODUCTION: There is a lack of study comparing the attitudes toward epilepsy between the teachers and general population, teachers and students, using a similar quantitative scale.
    METHODS: This study was performed in one primary and one secondary school in Kuala Lumpur, Malaysia, using the Public Attitudes Toward Epilepsy (PATE) scale.
    RESULTS: A total of 186 teachers aged 39.6±10.4 years completed the questionnaire. The mean scores in both personal and general domains of PATE scale were significantly better in the teachers, comparing to the scores in the secondary and college students reported in previous study (Lim et al., 2013; p<0.001 and <0.05, respectively). The mean scores in personal domain was significantly better in the teachers, comparing to the general population reported by Lim et al. (2012; p<0.001). This hold true when comparing teachers with general population with tertiary education, suggesting that the better attitude is specific to the job, rather than tertiary education generally. Subanalysis showed that the attitudes of teachers were significantly better than the general population and the students related to employment and social life, but were equally negative on issues directly related to education, such as placing children with epilepsy in regular classes.
    CONCLUSION: Teachers had more positive attitudes toward epilepsy as compared with the general population with tertiary education. Attitude to epilepsy may differ specific to types of work.
    Matched MeSH terms: Data Interpretation, Statistical
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