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Owe Löfman

Other affiliations: Linköping University
Bio: Owe Löfman is an academic researcher from Norwegian University of Life Sciences. The author has contributed to research in topics: Population & Osteoporosis. The author has an hindex of 31, co-authored 50 publications receiving 3938 citations. Previous affiliations of Owe Löfman include Linköping University.

Papers
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TL;DR: In this paper, the results of three data mining approaches, the support vector machines (SVM), decision tree (DT), and Naive Bayes (NB) models for spatial prediction of landslide hazards in the Hoa Binh province (Vietnam) were investigated and compared.
Abstract: The objective of this study is to investigate and compare the results of three data mining approaches, the support vector machines (SVM), decision tree (DT), and Naive Bayes (NB) models for spatial prediction of landslide hazards in the Hoa Binh province (Vietnam). First, a landslide inventory map showing the locations of 118 landslides was constructed from various sources. The landslide inventory was then randomly partitioned into 70% for training the models and 30% for the model validation. Second, ten landslide conditioning factors were selected (i.e., slope angle, slope aspect, relief amplitude, lithology, soil type, land use, distance to roads, distance to rivers, distance to faults, and rainfall). Using these factors, landslide susceptibility indexes were calculated using SVM, DT, and NB models. Finally, landslide locations that were not used in the training phase were used to validate and compare the landslide susceptibility maps. The validation results show that the models derived using SVM have the highest prediction capability. The model derived using DT has the lowest prediction capability. Compared to the logistic regression model, the prediction capability of the SVM models is slightly better. The prediction capability of the DT and NB models is lower.

433 citations

Journal ArticleDOI
TL;DR: Results of this study show that landslide susceptibility mapping in the Hoa Binh province of Vietnam using the ANFIS approach is viable and the results appeared to be quite satisfactory, the zones determined on the map being zones of relative susceptibility.

331 citations

Journal ArticleDOI
01 Sep 2012-Catena
TL;DR: Evaluated and compared the results of evidential belief functions and fuzzy logic models for spatial prediction of landslide hazards in the Hoa Binh province of Vietnam, using geographic information systems show that all the models have good prediction capabilities.
Abstract: The main objective of this study is to evaluate and compare the results of evidential belief functions and fuzzy logic models for spatial prediction of landslide hazards in the Hoa Binh province of Vietnam, using geographic information systems. First, a landslide inventory map showing the locations of 118 landslides that have occurred during the last ten years was constructed using data from various sources. Then, the landslide inventory was randomly partitioned into training and validation datasets (70% of the known landslide locations were used for training and building the landslide models and the remaining 30% for the model validation). Secondly, nine landslide conditioning factors were selected (i.e., slope, aspect, relief amplitude, lithology, landuse, soil type, distance to roads, distance to rivers and distance to faults). Using these factors, landslide susceptibility index values were calculated using evidential belief functions and fuzzy logic models. Finally, landslide susceptibility maps were validated and compared using the validation dataset that was not used in the model building. The prediction-rate curves and area under the curves were calculated to assess prediction capability. The results show that all the models have good prediction capabilities. The model derived using evidential belief functions has the highest prediction capability. The model derived using fuzzy SUM has the lowest prediction capability. The fuzzy PRODUCT and fuzzy GAMMA models have almost the same prediction capabilities. In general, all the models yield reasonable results that may be used for preliminary landuse planning purposes.

323 citations

Journal ArticleDOI
TL;DR: In this paper, the authors evaluated and compared the results of applying the statistical index and the logistic regression methods for estimating landslide susceptibility in the Hoa Binh province of Vietnam.
Abstract: The purpose of this study is to evaluate and compare the results of applying the statistical index and the logistic regression methods for estimating landslide susceptibility in the Hoa Binh province of Vietnam. In order to do this, first, a landslide inventory map was constructed mainly based on investigated landslide locations from three projects conducted over the last 10 years. In addition, some recent landslide locations were identified from SPOT satellite images, fieldwork, and literature. Secondly, ten influencing factors for landslide occurrence were utilized. The slope gradient map, the slope curvature map, and the slope aspect map were derived from a digital elevation model (DEM) with resolution 20 × 20 m. The DEM was generated from topographic maps at a scale of 1:25,000. The lithology map and the distance to faults map were extracted from Geological and Mineral Resources maps. The soil type and the land use maps were extracted from National Pedology maps and National Land Use Status maps, respectively. Distance to rivers and distance to roads were computed based on river and road networks from topographic maps. In addition, a rainfall map was included in the models. Actual landslide locations were used to verify and to compare the results of landslide susceptibility maps. The accuracy of the results was evaluated by ROC analysis. The area under the curve (AUC) for the statistical index model was 0.946 and for the logistic regression model, 0.950, indicating an almost equal predicting capacity.

289 citations

Journal ArticleDOI
TL;DR: Vertebral and hip fractures have a considerably greater and more prolonged impact on HRQOL than forearm and humerus fractures, and these differences should be taken into account when making priorities in health care programs.
Abstract: Objective: To estimate the impact of osteoporosis fractures on health-related quality of life (HRQOL) in postmenopausal women. Methods: To compare the impact on HRQOL of different osteoporotic fractures, 600 consecutive women 55–75 years old with a new fracture (inclusion fracture) were invited by mail. After exclusions by preset criteria (high-energy fractures, ongoing osteoporosis treatment, or unwillingness to participate), 303 women were included, 171 (56%) of whom had a forearm, 37 (12%) proximal humerus, 40 (13%) hip, and 55 (18%) vertebral fracture, respectively, and all were investigated and treated according to the current local consensus program for osteoporosis. In addition, HRQOL was evaluated by the SF-36 questionnaire and compared with local, age-matched reference material. Examinations were performed 82 days (median) after the fracture and 2 years later. Results: HRQOL was significantly reduced at baseline regarding all SF-36 domains after vertebral fractures and most after hip fractures, but only regarding some domains after forearm and humerus fracture. After 2 years, improvements had occurred after all types of fractures, and after forearm or humerus fracture, HRQOL was completely normalized in all domains. However, 2 years after hip fracture, HRQOL was still below normal regarding physical function, role-physical and social function, while after vertebral fracture, scores were still significantly lower for all domains, physical as well as mental. Patients with one or more previous fractures before the inclusion fracture had lower HRQOL at baseline and after 2 years, compared with those with no previous fracture. Patients with osteoporosis (T-score <−2.5 in hip or spine) had lower HRQOL than those with normal BMD. Conclusion: Vertebral and hip fractures have a considerably greater and more prolonged impact on HRQOL than forearm and humerus fractures. The number of fractures was inversely correlated to HRQOL. These differences should be taken into account when making priorities in health care programs.

271 citations


Cited by
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TL;DR: The USPSTF recommends against PSA-based screening for prostate cancer (grade D recommendation), which applies to men in the general U.S. population, regardless of age.
Abstract: This USPSTF recommendation on screening for prostate cancer considers evidence on the benefits and harms of prostate-specific antigen (PSA)–based screening for prostate cancer, as well as those of ...

2,137 citations

Journal ArticleDOI
TL;DR: It is concluded that the socioeconomic impact of hip fractures will increase markedly throughout the world, particularly in Asia, and that there is an urgent need to develop preventive strategies,particularly in the developing countries.
Abstract: The aims of this study were to estimate the present and future incidence of hip fracture world-wide. From a survey of available data on current incidence, population trends and the secular changes in hip fracture risk, the numbers of hip fractures expected in 2025 and 2050 were computed. The total number of hip fractures in men and women in 1990 was estimated to be 338000 and 917000 respectively, a total of 1.26 million. Assuming no change in the age- and sex-specific incidence, the number of hip fractures is estimated to approximately double to 2.6 million by the year 2025, and 4.5 million by the year 2050. The percentage increase will be greater in men (310%) than in women (240%). With modest assumptions concerning secular trends, the number of hip fractures could range between 7.3 and 21.3 million by 2050. The major demographic changes will occur in Asia. In 1990, 26% of all hip fractures occurred in Asia, whereas this figure could rise to 37% in 2025 and to 45% in 2050. We conclude that the socioeconomic impact of hip fractures will increase markedly throughout the world, particularly in Asia, and that there is an urgent need to develop preventive strategies, particularly in the developing countries.

1,932 citations

Journal ArticleDOI
TL;DR: This manuscript focuses on the NCCN Guidelines Panel recommendations for the workup, primary treatment, risk reduction strategies, and surveillance specific to DCIS.
Abstract: Ductal carcinoma in situ (DCIS) of the breast represents a heterogeneous group of neoplastic lesions in the breast ducts. The goal for management of DCIS is to prevent the development of invasive breast cancer. This manuscript focuses on the NCCN Guidelines Panel recommendations for the workup, primary treatment, risk reduction strategies, and surveillance specific to DCIS.

1,545 citations

Journal ArticleDOI
TL;DR: Given the incomplete response of many patients to a GFD-free diet as well as the difficulty of adherence to the GFD over the long term, development of new effective therapies for symptom control and reversal of inflammation and organ damage are needed.

1,379 citations