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Restricted Versus Unrestricted Search Space : Experience from Mining a Large Japanese Database
(2015)
The aim of this study was to investigate whether standard Big Data mining methods lead to clinically useful results. An association analysis was performed using the apriori algorithm to discover associations among co-morbidities of diabetes patients. Selected data were further analyzed by using k-means clustering with age, long-term blood sugar and cholesterol values. The association analysis led to a multitude of trivial rules. Cluster analysis detected clusters of well and badly managed diabetes patients both belonging to different age groups. The study suggests the usage of cluster analysis on a restricted space to come to meaningful results.
Rationale:
Dance as an intense kind of performance is associated with high loads on the musculoskeletal system. In particular, the lower limb is exposed to these high loads, which is reported by a high prevalence. Most dancers are affected by injuries during their careers, most in the lower limb. Typical risk factors for dancers include the compensatory turnout, hypermobility, and core stability. The correlation between these factors and lower limb injuries is not fully understood.
Purpose:
The aim of this study was to evaluate the correlation between lower limb injuries and the risk factors compensated turnout, hypermobility and core stability. Based on these results, hypotheses can be generated for further studies.
Methods:
This explorative pilot study was conducted at Osnabrück University of Applied Sciences. All eligible participants were scheduled for a single research appointment if they fulfilled the inclusion criteria of dance experience (ballet, modern, contemporary or jazz) at least one year with dance lessons of at least 5 hours per week. Parameters for the correlation analysis were (1) core stability, measured by the motor control tests battery proposed by Luomajoki, (2) hypermobility, measured by the Beighton Score (3) compensated turnout, measured by the difference between functional turnout and external rotation of both hips, (4) dance hours per week, (5) dance experience in years, (6) professional dance experience in years and (7) dance style (ballet, modern, contemporary, jazz). These parameters were correlated with the numbers of lower limb injuries. Significance level was set at 90% because of the explorative character of the study with the purpose to generate hypotheses.
Results:
Sixteen female dancers with different levels of dance experience (mean 11.3 years) and dance lessons per week (mean 17.6 hours) fulfilled the inclusion criteria and participated in this study. Significant correlations with the numbers of lower limb injuries were found at core stability (rs=0.489, p=0.034, medium effect), dance hours per week (rs=0.459, p=0.048, medium effect) and professional dance experience in years (rs=0.396, p=0.093, medium effect). Two dance styles (modern dance: rs=0.388, p=0.101 and contemporary dance: rs=0.385, p=0.104) were close to the significance level.
Conclusions:
These results show correlations between core stability, dance hours per week, professional dance experience in years and lower limb injuries in dancers.
Due to the limitations of a small and heterogeneous sample size as well as the medium effects, these results should be interpreted with caution, but may provide a basis for further research to this topic in the field of dance research and can be helpful in generating research hypotheses.
We describe an automated approach, to easily track patients regaining their walking ability while recovering from neurological diseases like e.g. stroke. Based on captured gait data and objective measures derived out of it the rehabilitation process can be optimized and thus steered. In order to apply such system in clinical practice two key requirements have to be fulfilled: (i) the system needs to be applicable in terms of ease of use and performance; (ii) the derived measures need to be accurate.
Management of agricultural processes is often troubled by disconnections and data transfer failures. Limited cellular network coverage may prevent information exchange between mobile process participants.
The research projects KOMOBAR and ISOCom designed, implemented und field-tested a delay tolerant platform for robust communication in rural areas and challenging environments. An adaptable combination of infrastructure-based cellular networks and infrastructure-free multihop ad hoc communication (WLAN) leads to a variety of new communication opportunities. Temporal storage and forwarding of data on mobile farm machinery as well as dynamic platform configurations during process runtime strongly enhance reliability and robustness of data transfers.
Despite similar policy goals, the adoption of eHealth practices took different paths in Austria (AT), Switzerland (CH), and Germany (GER). We seek to provide a rigorous analysis of the current state of hospitals by focusing on three key eHealth areas: electronic patient records (EPR), health information exchange (HIE), electronic patient communication. For validation and in order to gain better contextual insight we applied a mixed method approach by combining survey results from clinical directors with qualitative interview data from eHealth experts of all three countries. Across countries, EPR adoption rates were reported highest (AT: 52%, CH: 78%, GER: 50%), HIE-rates were partly lower (AT: 52%, CH: 14%, GER: 17%), and electronic patient communication was reported lowest overall (AT: 17%, CH: 8%, GER: 19%). Amongst others, results indicate patient awareness about eHealth to be equally weak across countries, which thus may be an important focal point of future policy initiatives.
Purpose
Sedentary behaviour (SED) and low level of physical activity (PA) might be associated with the development or worsening of pain. Still, studies assessing physical behaviours by accelerometry in individuals with orofacial pain are limited. This study aims to assess whether women with temporomandibular disorders (TMD) present different patterns of physical behaviours in days with (DWP) or without pain (DWoP).
Methods
Twenty-nine out of forty-four women (mean age 29.21 sd 7.96) were diagnosed with TMD and monitored over seven days using a thigh-worn accelerometer. DWP was determined when subjects presented pain in one of the craniocervical regions (head, jaw and neck) with intensity of at least 3 in the numerical rating scale. To be considered a DWoP, the individual presented less than 3 points in the three regions. Daily time-use compositions were described in terms of SED in short (<30 min) and long (≥30 min) bouts, light PA (LPA), moderate-to-vigorous PA (MVPA), and time-in-bed. Isometric log-ratios (ilr) were calculated to express the ratio of time-in-bed to time spent awake, SED relative to LPA and MVPA, SED in short relative to long bouts, and LPA relative to MVPA. Differences between DWP and DWoP were examined using MANOVA, followed by univariate post-hoc tests of pairwise differences.
Results
During DWP, women with TMD spent more time in SED in short (239 min) and long bouts (419 min), less time in LPA (245 min), MVPA (68 min), and in bed (468 min) compared with DWoP (235, 378, 263, 70 and 493 min, respectively). The MANOVA showed that all sets of ilrs did not differ statistically (ηp2 = 0.19, p = 0.25). Still, the post-hoc tests showed a trend that time spent SED relative to LPA and MVPA was larger in DWP than in DWoP (Cohen’s d = 0.36, p = 0.05).
Conclusions
Women with TMD did not show different patterns of physical behaviours in DWP or DWoP. However, there is a trend of more sedentary behaviour and less physical activity in DWP compared to DWoP. Future studies should consider other pain intensity cut-offs, isolated pain locations, and larger sample sizes to confirm these results.