Technology and health care : official journal of the European Society for Engineering and Medicine
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Technol Health Care · Jan 2014
Nonlinearities in personalization-privacy paradox in mHealth adoption: the mediating role of perceived usefulness and attitude.
Personalization in healthcare refers to individualizing services and products based on patients' health conditions and interests. In order to deliver highly personalized offerings, mHealth providers need to use patients' health information, which provokes patients' concerns over personal health information leakage. So the personalization-privacy paradox is an important issue in the mHealth context. To gain a better understanding of this paradox, we take the personalization and privacy paradox factors as independent variables, incorporating the nonlinear relationships between personalization and privacy, and take attitude and perceived usefulness as middle variables to study mHealth adoption. ⋯ (1) Personalization and privacy are found to influence mHealth adoption intention via attitude and perceived usefulness; (2) there is a substitution relationship, also called negative synergy between personalization and privacy in mHealth contexts; (3) attitude mediates the effect of perceived usefulness on intention, indicating a significant role of attitude.
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Technol Health Care · Jan 2014
A study on difference and importance of sacral slope and pelvic sacral angle that affect lumbar curvature.
Individual pelvic sacral angle was measured, compared and analyzed for the 6 male and female adults who were diagnosed with lumbar spinal stenosis, foraminal stenosis and mild spondylolisthesis in accordance with spinal parameters, pelvic parameters and occlusion state of sacroiliac joint presented by the author of this thesis based on the fact that the degree of lumbar excessive lordosis that was one of the causes for lumbar pain was determined by sacral slope. The measured values were compared with the standard values of the average normal range from 20 s to 40 s of normal Koreans stated in the study on the change in lumbar lordosis angle, lumbosacral angle and sacral slope in accordance with the age by Oh et al. [5] and sacral slope and pelvic sacral slope of each individual of the subjects for measurement were compared. Comparing the difference between the two tilt angles possessed by an individual is a comparison to determine how much the sacroiliac joint connecting pelvis and sacral vertebrae compensated and corrected the sacral vertebrae slope by pelvic tilt under the condition of synarthrodial joint. ⋯ It is believed that this is because the pelvic sacral slope maintaining an angle that is slightly greater than the normal range by being located in the lowest end of spine considering that the compensation for pelvic tilt, in other words, pelvic limb is not much causes an excess of lumbar lordosis angle. The meaning of this study based on these results is to prove that PSA is one of the important factors that fundamentally determine lumbar curvature. And this is because it is definitely required to have a study on the guideline for appropriate posture and life habit to the maintenance and management of ideal PSA before the end of growth phase and also the exercise therapy and adjustment for the control of PSA.
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Now-a-days, some new classes of diseases have come into existences which are known as lifestyle diseases. The main reasons behind these diseases are changes in the lifestyle of people such as alcohol drinking, smoking, food habits etc. After going through the various lifestyle diseases, it has been found that the fertility rates (sperm quantity) in men has considerably been decreasing in last two decades. Lifestyle factors as well as environmental factors are mainly responsible for the change in the semen quality. ⋯ This paper lightens the application of artificial techniques in medical domain. From this paper, it can be concluded that data mining methods can be used to predict a person with or without disease based on environmental and lifestyle parameters/features rather than undergoing various medical test. In this paper, five data mining techniques are used to predict the fertility rate and among which SVM+PSO provide more accurate results than support vector machine and decision tree.