Displaying publications 121 - 140 of 162 in total

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  1. Sohayla M. Attalla, Nihal A. Hanafy, Mahfuza Akter, Sakinah Ruhi
    MyJurnal
    Introduction: The twenty-first-century learning is adopting the student-centered learning techniques and the teach- ers are mainly facilitators to direct the process of learning and so social media and mobile applications became an important learning platform. Mobile learning (M-learning) is the practice of learning activities through a portable device such as cellular phone or a personal digital assistant. The aim of this research is to screen the medical stu- dents’ intention toward the adoption of M-learning and to determine factors affecting the intentions of the medical students to practice M-learning. Methods: A cross-sectional study among medical students was performed through a questionnaire based on the Theory of Reasoned Action and the Technology Acceptance Model. The study included 129 students in different stages of the medical study. Results: Results showed that the factors affecting the students’ inten¬tion to practice M-learning include the students’ attitude, perceived usefulness, perceived ease of use, and availability of resources. In the current sample 82.7% of students are already using M-Learning; 41.7% are using it for assessment, 22.8% are using it for learning and 35.5% are using it for both. Conclusion: It was concluded that most medical students have higher intention to adopt M-learning and they are mostly using it for assessment purposes rather than in learning.
    Matched MeSH terms: Computers, Handheld
  2. Al-Quraishi MS, Elamvazuthi I, Tang TB, Al-Qurishi M, Adil SH, Ebrahim M
    Brain Sci, 2021 May 27;11(6).
    PMID: 34071982 DOI: 10.3390/brainsci11060713
    Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have temporal and spatial characteristics that may complement each other and, therefore, pose an intriguing approach for brain-computer interaction (BCI). In this work, the relationship between the hemodynamic response and brain oscillation activity was investigated using the concurrent recording of fNIRS and EEG during ankle joint movements. Twenty subjects participated in this experiment. The EEG was recorded using 20 electrodes and hemodynamic responses were recorded using 32 optodes positioned over the motor cortex areas. The event-related desynchronization (ERD) feature was extracted from the EEG signal in the alpha band (8-11) Hz, and the concentration change of the oxy-hemoglobin (oxyHb) was evaluated from the hemodynamics response. During the motor execution of the ankle joint movements, a decrease in the alpha (8-11) Hz amplitude (desynchronization) was found to be correlated with an increase of the oxyHb (r = -0.64061, p < 0.00001) observed on the Cz electrode and the average of the fNIRS channels (ch28, ch25, ch32, ch35) close to the foot area representation. Then, the correlated channels in both modalities were used for ankle joint movement classification. The result demonstrates that the integrated modality based on the correlated channels provides a substantial enhancement in ankle joint classification accuracy of 93.01 ± 5.60% (p < 0.01) compared with single modality. These results highlight the potential of the bimodal fNIR-EEG approach for the development of future BCI for lower limb rehabilitation.
    Matched MeSH terms: Computers
  3. Wai Heng Chew, Abdul Aziz Marwan, Ummi Nadira Daut, Rosmadi Ismail, Mona Zaria Nasaruddin, Jamalul Azizi Abdul Rahman
    MyJurnal
    Sarcomas usually frequented in the head and neck region of young adults. Trachea is a rare site, and due to scarce clinical data, its clinical outcome is unclear. We reported a case of 60-year old patient presented with progressive worsening shortness of breath, cough, and progressive worsening dysphagia. Computer tomography scan revealed extensive 2 lobulated soft tissue lesions within and surrounding the trachea at the T4 level. Rigid bronchoscopy with mass cryo-debulking was performed and ultimately synovial sarcoma was diagnosed. Shortness of breath was com- pletely relieved post-procedure.
    Matched MeSH terms: Computers
  4. Alwi, M.N.M., Roslaili, R., Noraniza Hayati, M.N., Harris, A.W.F.
    MyJurnal
    The aim of the study was to acquire background information on computer literacy among schizophrenia patients in Kota Bharu, Malaysia, prior to the introduction of a computerised cognitive remediation programme in the local setting.
    Method: Fifty consenting consecutive patients with schizophrenia attending the Universiti Sains Malaysia Hospital psychiatric clinic were surveyed using the Computer Literacy Scale (CLS), a scale designed to specifically look at their level of computer knowledge, confidence and attitude towards computers.
    Results: The majority of the patients studied have had schizophrenia for 5 years or less. While the majority of them have used computers befoie, about half had a poor level of knowledge, although they showed reasonable confidence and a positive attitude towards computers. Few played computer games.
    Conclusions: Implementation of a computerised cognitive remediation programme in the Malaysian setting has a promising potential based on the results of this study but the programme needs to be adapted in light of the negative attitudes towards the use of games.
    Study site: Psychiatric clinc, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia
    Matched MeSH terms: Computers
  5. Erna Faryza, Mohd Suleiman Murad, Syamsul Anwar
    MyJurnal
    The computer is well known as one of the important tools in the office that gives a lot of benefits but silently leads to musculoskeletal pain. There are many different kinds of musculoskeletal complaints pain but the most common seen among computer users in developed countries is the complaint of arm, neck and shoulder (CANS). Despite this, definite factors that can be associated with the prevalence of CANS have not been established. This study was conducted to identify the prevalence and factors associated with work-related complaints of arm, neck and shoulder (CANS) among office workers in Selangor and Kuala Lumpur. A survey study design was conducted where 110 (n=110) office workers were recruited from around the Selangor and Kuala Lumpur area for 5 months periods. Participants were required to answer the Maastricht Upper Extremity Questionnaire (MUEQ) and the Level of Ergonomic Knowledge Questionnaire. The study showed the highest percentage of CANS reported was at neck region (53.6% of participants), followed by shoulders with 53.0%. The majority of participants have low level of computer ergonomic awareness where only 19.09% (n=21) from government sector and 10% (n=11) office workers from private sector reported knowledge of ergonomics. Majority of the participants did not have the know-how in implementing correct computer ergonomics. However there was a weak association (r=
    Matched MeSH terms: Computers
  6. Venkataramani P, Sadanandan T, Savanna RS, Sugathan S
    Med Educ, 2019 05;53(5):499-500.
    PMID: 30891812 DOI: 10.1111/medu.13860
    Matched MeSH terms: Computers, Handheld
  7. Fadzil F, Mei AKC, Mohd Khairy A, Kumar R, Mohd Azli AN
    Int J Environ Res Public Health, 2022 Nov 02;19(21).
    PMID: 36361190 DOI: 10.3390/ijerph192114311
    Patients with mild traumatic brain injury (MTBI) with intracerebral hemorrhage (ICH), particularly those at higher risk of having ICH progression, are typically prescribed a second head Computer Tomography (CT) scan to monitor the disease development. This study aimed to evaluate the role of a repeat head CT in MTBI patients at a higher risk of ICH progression by comparing the intervention rate between patients with and without ICH progression.

    METHODS: 192 patients with MTBI and ICH were treated between November 2019 to December 2020 at a single level II trauma center. The Glasgow Coma Scale (GCS) was used to classify MTBI, and initial head CT was performed according to the Canadian CT head rule. Patients with a higher risk of ICH progression, including the elderly (≥65 years old), patients on antiplatelets or anticoagulants, or patients with an initial head CT that revealed EDH, contusional bleeding, or SDH > 5 mm, and multiple ICH underwent a repeat head CT within 12 to 24 h later. Data regarding types of intervention, length of stay in the hospital, and outcome were collected. The risk of further neurological deterioration and readmission rates were compared between these two groups. All patients were followed up in the clinic after one month or contacted via phone if they did not return.

    RESULTS: 189 patients underwent scheduled repeated head CT, 18% had radiological intracranial bleed progression, and 82% had no changes. There were no statistically significant differences in terms of intervention rate, risk of neurological deterioration in the future, or readmission between them.

    CONCLUSION: Repeat head CT in mild TBI patients with no neurological deterioration is not recommended, even in patients with a higher risk of ICH progression.

    Matched MeSH terms: Computers
  8. Ali J, Kader HA, Hassan K, Arshat H
    Am J Clin Nutr, 1986 Jun;43(6):925-30.
    PMID: 3717068
    Our previous study showed vitamin E deficiency in newborns (69.7%) and mothers at term (85.9%) when the ratio between serum vitamin E in mg/dl and total lipids in g/dl was used as an indicator of vitamin E status. This study was conducted to determine the human milk content of vitamin E. During the first 12 days of lactation milk vitamin E levels remained almost constant (day 1, 0.68 mg/dl; day 12, 0.65 mg/dl), milk total lipid levels increased daily (day 1, 1.11 g/dl; day 12, 3.60 g/dl), and the ratio between milk vitamin E and total lipids dropped steadily (day 1, 1.3; day 12, 0.2). In spite of this drop in vitamin E status, it is unlikely that vitamin E availability will be affected in neonates, because normal neonates absorb milk fats well and this ability increases with age.
    Matched MeSH terms: Computers
  9. Wang W, Zhao X, Jia Y, Xu J
    PLoS One, 2024;19(2):e0297578.
    PMID: 38319912 DOI: 10.1371/journal.pone.0297578
    The objectives are to improve the diagnostic efficiency and accuracy of epidemic pulmonary infectious diseases and to study the application of artificial intelligence (AI) in pulmonary infectious disease diagnosis and public health management. The computer tomography (CT) images of 200 patients with pulmonary infectious disease are collected and input into the AI-assisted diagnosis software based on the deep learning (DL) model, "UAI, pulmonary infectious disease intelligent auxiliary analysis system", for lesion detection. By analyzing the principles of convolutional neural networks (CNN) in deep learning (DL), the study selects the AlexNet model for the recognition and classification of pulmonary infection CT images. The software automatically detects the pneumonia lesions, marks them in batches, and calculates the lesion volume. The result shows that the CT manifestations of the patients are mainly involved in multiple lobes and density, the most common shadow is the ground-glass opacity. The detection rate of the manual method is 95.30%, the misdetection rate is 0.20% and missed diagnosis rate is 4.50%; the detection rate of the DL-based AI-assisted lesion method is 99.76%, the misdetection rate is 0.08%, and the missed diagnosis rate is 0.08%. Therefore, the proposed model can effectively identify pulmonary infectious disease lesions and provide relevant data information to objectively diagnose pulmonary infectious disease and manage public health.
    Matched MeSH terms: Computers
  10. Lee ST, Wong JE, Ong WW, Ismail MN, Deurenberg P, Poh BK
    Asia Pac J Public Health, 2016 07;28(5 Suppl):21S-34S.
    PMID: 27026634 DOI: 10.1177/1010539516638155
    Children's physical activity has been correlated with child characteristics and social or physical environment. This study aimed to compare preschoolers' physical activity among various sociodemographic characteristics and to determine barriers, motivators, and environmental factors for active play. A total of 835 preschoolers were included in this analysis. Time spent on active play, quiet play, and screen time was reported by parents. Boys spent significantly more time on active play and screen time than girls. Time spent on quiet play was highest in East Coast Peninsular Malaysia and lowest in Sarawak. Some 40% of children achieved active play recommendation while 27% exceeded daily screen time recommendation. Most parents reported that their child played actively in the house area; and that the main barrier and motivator to active play were safety and child's enjoyment, respectively. These findings demonstrate that sociodemographic characteristics and environment should be considered in designing physical activity intervention programs.
    MESH: screen time
    Matched MeSH terms: Computers/utilization
  11. Esmaeilzadeh P, Sambasivan M, Kumar N, Nezakati H
    Int J Med Inform, 2015 Aug;84(8):548-60.
    PMID: 25920928 DOI: 10.1016/j.ijmedinf.2015.03.007
    The basic objective of this research is to study the antecedents and outcomes of professional autonomy which is a central construct that affects physicians' intention to adopt clinical decision support systems (CDSS). The antecedents are physicians' attitude toward knowledge sharing and interactivity perception (about CDSS) and the outcomes are performance expectancy and intention to adopt CDSS. Besides, we include (1) the antecedents of attitude toward knowledge sharing-subjective norms, social factors and OCB (helping behavior) and (2) roles of physicians' involvement in decision making, computer self-efficacy and effort expectancy in our framework.
    Matched MeSH terms: Attitude to Computers*
  12. Yusof MM
    Int J Med Inform, 2015 Jul;84(7):486-99.
    PMID: 25881560 DOI: 10.1016/j.ijmedinf.2015.03.001
    Clinical information systems have long been used in intensive care units but reports on their adoption and benefits are limited. This study evaluated a Critical Care Information System implementation.
    Matched MeSH terms: Attitude to Computers*
  13. Lee ST, Wong JE, Shanita SN, Ismail MN, Deurenberg P, Poh BK
    Int J Environ Res Public Health, 2015 Jan;12(1):146-61.
    PMID: 25546277 DOI: 10.3390/ijerph120100146
    Childhood obesity is related to low physical activity level and a sedentary lifestyle. The aim of this study was to assess the physical activity level and sedentary behaviour of Malaysian children aged 7 to 12 years and to examine their association with body mass index (BMI), BMI-for-age Z-score (BAZ), body fatness (%BF) and waist circumference (WC). A total of 1736 children, representing all ethnic groups were recruited from six regions of Malaysia. Anthropometric measurements included body weight, height and waist circumference. Body fat percentage (%BF) was assessed using bioelectrical impedance. Physical activity was assessed by a physical activity questionnaire (PAQ) in all children and by pedometers in a subsample (n = 514). PAQ score and pedometer step counts were negatively associated with BMI, BAZ, %BF and WC after adjusting for covariates. Screen time was positively associated with BAZ and WC. However, other sedentary activities were not significantly related with any anthropometric indicators. Strategies to promote active living among children in Malaysia should focus not only on increasing physical activity but also emphasise reduction in sedentary behaviours.
    MESH: screen time
    Matched MeSH terms: Computers/statistics & numerical data
  14. Reddy SC, Low CK, Lim YP, Low LL, Mardina F, Nursaleha MP
    Nepal J Ophthalmol, 2013 Jul-Dec;5(2):161-8.
    PMID: 24172549 DOI: 10.3126/nepjoph.v5i2.8707
    INTRODUCTION: Computer vision syndrome (CVS) is a condition in which a person experiences one or more of eye symptoms as a result of prolonged working on a computer.
    OBJECTIVES: To determine the prevalence of CVS symptoms, knowledge and practices of computer use in students studying in different universities in Malaysia, and to evaluate the association of various factors in computer use with the occurrence of symptoms.
    MATERIAL AND METHODS: In a cross sectional, questionnaire survey study, data was collected in college students regarding the demography, use of spectacles, duration of daily continuous use of computer, symptoms of CVS, preventive measures taken to reduce the symptoms, use of radiation filter on the computer screen, and lighting in the room.
    RESULTS: A total of 795 students, aged between 18 and 25 years, from five universities in Malaysia were surveyed. The prevalence of symptoms of CVS (one or more) was found to be 89.9%; the most disturbing symptom was headache (19.7%) followed by eye strain (16.4%). Students who used computer for more than 2 hours per day experienced significantly more symptoms of CVS (p=0.0001). Looking at far objects in-between the work was significantly (p=0.0008) associated with less frequency of CVS symptoms. The use of radiation filter on the screen (p=0.6777) did not help in reducing the CVS symptoms.
    CONCLUSION: Ninety percent of university students in Malaysia experienced symptoms related to CVS, which was seen more often in those who used computer for more than 2 hours continuously per day.
    Matched MeSH terms: Computers*
  15. Hearn RL
    Asian Pac Cens Forum, 1985 May;11(4):1-4, 9-14, 16.
    PMID: 12267276
    Matched MeSH terms: Computers*
  16. Pasquariella SK
    POPIN Bull, 1984 Dec.
    PMID: 12267287
    Matched MeSH terms: Computers*
  17. Ahmad Fauzi MF, Khansa I, Catignani K, Gordillo G, Sen CK, Gurcan MN
    Comput Biol Med, 2015 May;60:74-85.
    PMID: 25756704 DOI: 10.1016/j.compbiomed.2015.02.015
    An estimated 6.5 million patients in the United States are affected by chronic wounds, with more than US$25 billion and countless hours spent annually for all aspects of chronic wound care. There is a need for an intelligent software tool to analyze wound images, characterize wound tissue composition, measure wound size, and monitor changes in wound in between visits. Performed manually, this process is very time-consuming and subject to intra- and inter-reader variability. In this work, our objective is to develop methods to segment, measure and characterize clinically presented chronic wounds from photographic images. The first step of our method is to generate a Red-Yellow-Black-White (RYKW) probability map, which then guides the segmentation process using either optimal thresholding or region growing. The red, yellow and black probability maps are designed to handle the granulation, slough and eschar tissues, respectively; while the white probability map is to detect the white label card for measurement calibration purposes. The innovative aspects of this work include defining a four-dimensional probability map specific to wound characteristics, a computationally efficient method to segment wound images utilizing the probability map, and auto-calibration of wound measurements using the content of the image. These methods were applied to 80 wound images, captured in a clinical setting at the Ohio State University Comprehensive Wound Center, with the ground truth independently generated by the consensus of at least two clinicians. While the mean inter-reader agreement between the readers varied between 67.4% and 84.3%, the computer achieved an average accuracy of 75.1%.
    Matched MeSH terms: Computers
  18. O'Donovan J, Maruthappu M
    Med Teach, 2015 May;37(5):463-9.
    PMID: 25182187 DOI: 10.3109/0142159X.2014.956063
    To assess the feasibility and impact of using low-cost Android tablets to deliver video tutorials and remote online peer-tutoring for clinical skills between two countries.
    Matched MeSH terms: Computers, Handheld
  19. Abdul Karim R, Zakaria NF, Zulkifley MA, Mustafa MM, Sagap I, Md Latar NH
    Biomed Eng Online, 2013;12:21.
    PMID: 23496940 DOI: 10.1186/1475-925X-12-21
    Telepointer is a powerful tool in the telemedicine system that enhances the effectiveness of long-distance communication. Telepointer has been tested in telemedicine, and has potential to a big influence in improving quality of health care, especially in the rural area. A telepointer system works by sending additional information in the form of gesture that can convey more accurate instruction or information. It leads to more effective communication, precise diagnosis, and better decision by means of discussion and consultation between the expert and the junior clinicians. However, there is no review paper yet on the state of the art of the telepointer in telemedicine. This paper is intended to give the readers an overview of recent advancement of telepointer technology as a support tool in telemedicine. There are four most popular modes of telepointer system, namely cursor, hand, laser and sketching pointer. The result shows that telepointer technology has a huge potential for wider acceptance in real life applications, there are needs for more improvement in the real time positioning accuracy. More results from actual test (real patient) need to be reported. We believe that by addressing these two issues, telepointer technology will be embraced widely by researchers and practitioners.
    Matched MeSH terms: Computers
  20. Simon SK, Seldon HL
    Stud Health Technol Inform, 2012;182:125-32.
    PMID: 23138087
    A target of telehealth is to maintain or improve the health of people outside the normal healthcare infrastructure. A modern paradigm in healthcare, and one which fits perfectly with telehealth, is "person self-monitoring", and this fits with the concept of "personal health record" (PHR). One factor in maintaining health is to monitor physiological parameters; this is of course especially important in people with chronic maladies such as diabetes or heart disease. Parameters to be monitored include blood pressure, pulse rate, temperature, weight, blood glucose, oxygen saturation, electrocardiogram (ECG), etc. So one task within telehealth would be to help monitor an individual's physiological parameters outside of healthcare institutions and store the results in a PHR in a way which is available, comprehensible and beneficial to the individual concerned and to healthcare providers. To date many approaches to this problem have been fragmented - emphasizing only part of the problem - or proprietary and not freely verifiable. We describe a framework to approach this task; it emphasizes the implementation of standards for data acquisition, storage and transmission in order to maximize the compatibility among disparate components, e.g. various PHR systems. Data from mobile biosensors is collected on a smartphone using the IEEE 11073 standard where possible; the data can be stored in a PHR on the phone (using standard formats) or can be converted in real-time into more useful information in the PHR, which is based on the International Classification for Primary Care (ICPC2e). The phone PHR data or information can be uploaded to a central online PHR using either the Wi-Fi or GSM transmission protocol together with the Continuity of Care Record message format (CCR, ASTM E2369).
    Matched MeSH terms: Computers, Handheld
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