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Browsing by Subject "accuracy"

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  • Lindman, Cecilia (2019)
    Background: The Finnish Cancer Registry (FCR) maintains data on cancer in the Finnish population since 1953. The data can be used for statistical and research purposes. Our aim was to evaluate the completeness and validity of breast cancer diagnoses in the cancer registry data in 2010-2014. Methods: We evaluated the completeness and accuracy on breast cancer diagnoses in the FCR between 2010 and 2014. Cancer data in the FCR and hospital periods and visits in the Care Register for Health and Welfare (formerly known as HILMO) were used primarily and cases found in HILMO but missing from the FCR were checked from original hospital records. Common breast cancers found in both HILMO and FCR were 23397 in total. In HILMO only, 2205 breast cancers were recorded and in the FCR only, 2404 cases. After exclusions, a total of 887 potential breast cancers that could be found only in HILMO were checked from hospital records. Accuracy was evaluated by correlation between ICD-10 diagnosis codes (C50 and D05) found in the FCR and the HILMO respectively. Results: A total of 887 breast cancers registered in HILMO were checked from original hospital records. In all, 747 cases (84,2 %) were confirmed as breast cancers. Of all checked cases, 609 cancers (69 %) were diagnosed before 2010 and only 34 cancers (4 %) were diagnosed during the period of 2010-2014. The number of true unregistered breast cancers from 2010-2014 were only 3,8 % of all the breast cancer diagnoses checked from hospital records. In all, these new, unregistered breast cancers represent merely 0,14 % of the total number of breast cancers diagnosed in Finland during 2010-2014. Conclusions: Based on the data in the Care Register for Health and Welfare and in the FCR, underreporting of breast cancers in Finland during the period of 2010-2014 is exceedingly small. With an underreporting of only 0,14 % of breast cancers in the whole country, the completeness of the breast cancer data in the FCR in 2010-2014 is excellent, 99,9 %.
  • González Latorre, Eduardo (2015)
    Field work is needed to obtain reliable estimates when forest inventories are carried out. Field measurements traditionally have been the main source of information for inventories. But nowadays, also remotely sensed data collected using active or passive sensors mounted on satellite and aerial platforms are used to help in the estimation of forest parameters. Although the use of remotely sensed data is of great help in forest inventories, field data still plays a very important role as reference data, for results calibration and accuracy assessments. Considering that time and budget required for field work are generally some of the main concerns in forest inventory planning, the development of faster, cheaper, simpler, more accurate or more reliable field inventory methods and tools is a topic of great interest. TrestimaTM is a forest inventory system based in the interpretation of images taken with a mobilephone. Its accuracy and efficiency in estimating forest parameters was studied using sample plots in Russian. A total of 156 field plots were measured. The forest parameters measured were: the plot basal area and sample trees’ diameters and heights. The data collected with Trestima was meant to replicate a typical relascope sample plot inventory (variable radius plot inventory). Measurements obtained using traditional tools were used as reference data. The data collected for the inventory included plots at forest stands with different structures: from young to mature stands; and mixed stands to stands dominated by different species (most often Norway Spruce, Picea abies, (L.) H. Karst). The plots’ basal areas ranged from 7 to 62 m2/ha, the tree diameters from 3 to 60 cm and the tree heights from 3 to 35 m. The time used to measure the plots with the Trestima and the reference methods were collected. The data for each forest variable and the time invested in taking the measurements were organized as paired samples and compared using the statistic estimators of bias and RMSE, as the paired Student's t-test. Compared to the reference measurements, Trestima underestimated the basal area with a bias of 1.2 m2/ha (3.7%), but the differences were not statistically significant. In mixed stands, Trestima overestimated spruce basal area (bias of 13.9%), but for spruce dominated stands underestimated it (bias of 4.9%). Trestima overestimated tree diameters with a root mean squared error (RMSE) from 5.5 to 7.9%, depending on the tree species. but underestimated tree heights with an average RMSE of 3.7m (17.5%). The Trestima sample plot measurements were done faster than with traditional tools. Trestima measurements were in average 1.6 minutes (14.8%) faster. The Trestima system provided results comparable to the reference method for all the measured forest parameters. The worse results were obtained for the measurement of the tree heights. The interpretation of the results for the basal area, indicated that the system could benefit from taking into consideration stand structure, especially for species specific estimations. Trestima provided faster measurements of the forest parameters. One important advantage, is that Trestima produces automatically geographically referenced data, which can be used during later analysis, for example, interpretation of remotely sensed data or forest planning.
  • González Latorre, Eduardo (2015)
    Field work is needed to obtain reliable estimates when forest inventories are carried out. Field measurements traditionally have been the main source of information for inventories. But nowadays, also remotely sensed data collected using active or passive sensors mounted on satellite and aerial platforms are used to help in the estimation of forest parameters. Although the use of remotely sensed data is of great help in forest inventories, field data still plays a very important role as reference data, for results calibration and accuracy assessments. Considering that time and budget required for field work are generally some of the main concerns in forest inventory planning, the development of faster, cheaper, simpler, more accurate or more reliable field inventory methods and tools is a topic of great interest. TrestimaTM is a forest inventory system based in the interpretation of images taken with a mobilephone. Its accuracy and efficiency in estimating forest parameters was studied using sample plots in Russian. A total of 156 field plots were measured. The forest parameters measured were: the plot basal area and sample trees’ diameters and heights. The data collected with Trestima was meant to replicate a typical relascope sample plot inventory (variable radius plot inventory). Measurements obtained using traditional tools were used as reference data. The data collected for the inventory included plots at forest stands with different structures: from young to mature stands; and mixed stands to stands dominated by different species (most often Norway Spruce, Picea abies, (L.) H. Karst). The plots’ basal areas ranged from 7 to 62 m2/ha, the tree diameters from 3 to 60 cm and the tree heights from 3 to 35 m. The time used to measure the plots with the Trestima and the reference methods were collected. The data for each forest variable and the time invested in taking the measurements were organized as paired samples and compared using the statistic estimators of bias and RMSE, as the paired Student's t-test. Compared to the reference measurements, Trestima underestimated the basal area with a bias of 1.2 m2/ha (3.7%), but the differences were not statistically significant. In mixed stands, Trestima overestimated spruce basal area (bias of 13.9%), but for spruce dominated stands underestimated it (bias of 4.9%). Trestima overestimated tree diameters with a root mean squared error (RMSE) from 5.5 to 7.9%, depending on the tree species. but underestimated tree heights with an average RMSE of 3.7m (17.5%). The Trestima sample plot measurements were done faster than with traditional tools. Trestima measurements were in average 1.6 minutes (14.8%) faster. The Trestima system provided results comparable to the reference method for all the measured forest parameters. The worse results were obtained for the measurement of the tree heights. The interpretation of the results for the basal area, indicated that the system could benefit from taking into consideration stand structure, especially for species specific estimations. Trestima provided faster measurements of the forest parameters. One important advantage, is that Trestima produces automatically geographically referenced data, which can be used during later analysis, for example, interpretation of remotely sensed data or forest planning.
  • Kola, Aino (2022)
    Background. Aphasia is a deficit of language and cognition caused by brain damage. Rehabilitation is based on reactivating and reorganizing the nervous system – or learning things anew. Learning is based on many factors, that would require more thorough examination to best allocate and plan rehabilitation. The impact of reaction speed on the ability to learn novel words has not yet been studied in aphasic patients, although inter- and intraindividual variability in their reaction times clearly exists. Some aphasic patients have also been associated with a behavioral pattern called speed-accuracy trade-off, a pattern where a person balances between acting fast or accurately. This has led to overly cautious or overly hasty responding in some aphasic patients, which potentially could influence the learning ability. Objectives. The purpose of this study is to examine reaction times and response accuracy and their possible relationship in a novel word learning task in aphasic patients and healthy controls. Special interest is placed on the occurrence of speed-accuracy trade-offs, or overly cautious or fast responding related to response accuracy outcome. Additionally, it is being examined if intrapersonal variability in reaction times predicts novel word learning ability. Methods. The participants of this study consist of 10 aphasic patients in subacute stage and 21 healthy age-matched controls. This study was executed as a part of “Opi sanoja” research project, in which novel word learning ability was studied through a computer-based word learning task. The purpose of the task was to learn six pseudo-words associated with a picture. The pictures were shown in pairs, of which the examinee was told to choose the right one according to seen and heard pseudo-word and earlier received feedback. Reaction speed was measured by reaction times recorded by the word learning task. Reaction times were compared with response accuracy in and between the study groups. Results and conclusions. Aligned with previous studies, aphasic patients learned novel words worse than the controls, although great interindividual variability was noted. The reaction times of aphasic patients were significantly slower, but again interindividual variability was large in the group. Reaction speed correlated with novel word learning in the control group, but not significantly in the aphasic group. Intraindividual reaction time variability was notable in both groups, being twice as large in the aphasic group. Broader intraindividual variability correlated with weaker novel word learning ability in the control group. The speed-accuracy trade-off pattern occurred in two aphasic patients: one with overly cautious and one with overly hasty response behavior. According to this study, examining reaction times and possibly speed-accuracy trade-offs with, for example, a specific learning test would help to recognize the patients with maladaptive timing patterns. This would benefit the patient, as optimizing the speed-accuracy trade-offs has been studied to improve item naming, the effect even being transferred to connected speech. The relationship of speed-accuracy trade-offs with novel word learning requires further studying, taking into consideration factors behind reaction times and word learning ability.
  • Molina Bustamante, Susana (2022)
    This study aims to reveal how executive functions are related to early numeracy skills. Several articles have been published in this respect. The present one focuses on just two executive functions, inhibition and switching, and two early numeracy skills, counting and numerical relational skills. The study wants to determine how the accuracy and reaction time in inhibition and switching tasks correlate with the counting and numerical relational skills in four-year-old preschoolers, and if there is any general latent condition under which these relations are modified. The participants of this study are 4-year-old preschoolers (N=189) from preschools in the Helsinki Area (N=21), Finland. They have done two different tests that have been used to gather the data. A digital version of the Flanker tasks (modified from Fan, et al. (2002)) has measured inhibition and switching accuracy and reaction time. The Early Numeracy Test (Aunio, Hautamäki, Heiskari, & Van Luit, 2006) has measured the preschoolers’ performance in counting and relational skills. The data has been quantitatively analysed with SPSS and R. A correlation analysis has been performed to understand how the variables are related (calculation of Spearman’s rank correlation). A latent profile analysis has been run using the mclust package, to see if there could be extracted any latent variable that could drive the correlation in different directions. The main results reveal that accuracy in inhibition and switching tasks have a weak to moderate positive correlation with the successful use of counting and relational skills in 4-year-old preschoolers. Reaction time seems to be a variable whose implications change depending on the participants’ EN-performance, as visible in the latent profile analysis. However, there have not been yielded any robust conclusions about the existence of latent variables.
  • Molina Bustamante, Susana (2022)
    This study aims to reveal how executive functions are related to early numeracy skills. Several articles have been published in this respect. The present one focuses on just two executive functions, inhibition and switching, and two early numeracy skills, counting and numerical relational skills. The study wants to determine how the accuracy and reaction time in inhibition and switching tasks correlate with the counting and numerical relational skills in four-year-old preschoolers, and if there is any general latent condition under which these relations are modified. The participants of this study are 4-year-old preschoolers (N=189) from preschools in the Helsinki Area (N=21), Finland. They have done two different tests that have been used to gather the data. A digital version of the Flanker tasks (modified from Fan, et al. (2002)) has measured inhibition and switching accuracy and reaction time. The Early Numeracy Test (Aunio, Hautamäki, Heiskari, & Van Luit, 2006) has measured the preschoolers’ performance in counting and relational skills. The data has been quantitatively analysed with SPSS and R. A correlation analysis has been performed to understand how the variables are related (calculation of Spearman’s rank correlation). A latent profile analysis has been run using the mclust package, to see if there could be extracted any latent variable that could drive the correlation in different directions. The main results reveal that accuracy in inhibition and switching tasks have a weak to moderate positive correlation with the successful use of counting and relational skills in 4-year-old preschoolers. Reaction time seems to be a variable whose implications change depending on the participants’ EN-performance, as visible in the latent profile analysis. However, there have not been yielded any robust conclusions about the existence of latent variables.
  • Stenman, Virpi (2019)
    In forest inventories, the field data is needed as a reference data, calibration and for assessing the accuracy. Gathering the field data needs resources, such as work forces, equipment and data management operations. This means that time and budget as well as quality must be carefully considered when National Forest Inventory activities are to be planned. Therefore, the development of cost efficient, simpler, safer and more accurate and reliable field data measurement methods and tools are topics of great interest. One of the field measurement variables is the upper stem diameter, which has been part of the NFI field data set until the 11th NFI. The measured upper stem diameter helps to produce more reliable tree stem volumes with 3-parameter Laasasenaho volume model. However, only if the quality of the measurements is on an adequate level. The upper stem diameter has been traditionally measured with parabolic caliper assembled in the top of the 5-meter aluminium rod. This equipment combination takes time to assemble and disassemble, it is not very compact to be carried around as well as it can be a health and safety issue during the thunderstorm. Therefore Criterion, laser-based dendrometer performance was further examined in this study as an optional measurement equipment for future upper stem diameter field measurements. The Criterion upper stem as well as dbh measurement precision was analysed based on the 326 sample tree measurements with Sonar, Caliper and Criterion. The standard error for Criterion was 17,26 mm in dbh measurements for all species and 10,36 mm in d6 measurements for all species. The reference standard errors from earlier studies were 2,70 mm for dbh with Steel Caliper and 7,00 mm for d6 with Caliper. When analysing the Criterion performance with reference to mean of the measurements, the standard error in dbh measuements for all species was 9,72 mm and for d6 measurements 7,07 mm. Furthermore, the accuracy and precision were analysed with Bland-Altman technique, which is a suitable method for comparing two measurements of the same variable when both have some errors. The Bland-Altman results supported the earlier findings. Within and between observer analysis showed that the impact in measurement accuracy or precision is not caused by the observers. The comparison of the sample tree volumes produced the results that the relative standard error was increased by 2,13 % for all species when 2-parameter volume model was compared with 3-parameter model. Likewise, the relative bias was increased by 1,53 %. In efficiency experiment the scenario where only one sample tree with measured d6 was chosen from each of the sample plot and dbh percentile of p70 was providing most accurate and precise sample plot volumes with RMSE of 3,92 m3/ha and bias -0.78 m3/ha. The results show that there is a real challenge to achieve reliable and accurate upper stem diameter measurements and therefore new measurement methods need to be further studied and analysed.
  • Stenman, Virpi (2019)
    In forest inventories, the field data is needed as a reference data, calibration and for assessing the accuracy. Gathering the field data needs resources, such as work forces, equipment and data management operations. This means that time and budget as well as quality must be carefully considered when National Forest Inventory activities are to be planned. Therefore, the development of cost efficient, simpler, safer and more accurate and reliable field data measurement methods and tools are topics of great interest. One of the field measurement variables is the upper stem diameter, which has been part of the NFI field data set until the 11th NFI. The measured upper stem diameter helps to produce more reliable tree stem volumes with 3-parameter Laasasenaho volume model. However, only if the quality of the measurements is on an adequate level. The upper stem diameter has been traditionally measured with parabolic caliper assembled in the top of the 5-meter aluminium rod. This equipment combination takes time to assemble and disassemble, it is not very compact to be carried around as well as it can be a health and safety issue during the thunderstorm. Therefore Criterion, laser-based dendrometer performance was further examined in this study as an optional measurement equipment for future upper stem diameter field measurements. The Criterion upper stem as well as dbh measurement precision was analysed based on the 326 sample tree measurements with Sonar, Caliper and Criterion. The standard error for Criterion was 17,26 mm in dbh measurements for all species and 10,36 mm in d6 measurements for all species. The reference standard errors from earlier studies were 2,70 mm for dbh with Steel Caliper and 7,00 mm for d6 with Caliper. When analysing the Criterion performance with reference to mean of the measurements, the standard error in dbh measuements for all species was 9,72 mm and for d6 measurements 7,07 mm. Furthermore, the accuracy and precision were analysed with Bland-Altman technique, which is a suitable method for comparing two measurements of the same variable when both have some errors. The Bland-Altman results supported the earlier findings. Within and between observer analysis showed that the impact in measurement accuracy or precision is not caused by the observers. The comparison of the sample tree volumes produced the results that the relative standard error was increased by 2,13 % for all species when 2-parameter volume model was compared with 3-parameter model. Likewise, the relative bias was increased by 1,53 %. In efficiency experiment the scenario where only one sample tree with measured d6 was chosen from each of the sample plot and dbh percentile of p70 was providing most accurate and precise sample plot volumes with RMSE of 3,92 m3/ha and bias -0.78 m3/ha. The results show that there is a real challenge to achieve reliable and accurate upper stem diameter measurements and therefore new measurement methods need to be further studied and analysed.