1,721,070 research outputs found
Editorial: Verification and Validation of in silico Models for Biomedical Implantable Devices
Full text linkClinical Practice Ontology Automatic Learning from SOAP Reports
No full textWe show how we implemented an end-to-end process to automatically develop a clinical practice knowledge base acquiring from SOAP notes. With our contribution we intend to overcome the “Knowledge Acquisition Bottleneck” problem by jump-starting the knowledge gathering from the most widely available source of clinical information that are natural language reports. We present the different phases of our process to populate automatically a proposed ontology with clinical assertions extracted from daily routine SOAP notes. The enriched ontology becomes a reasoning able knowledge base that depicts accurately and realistically the clinical practice represented by the source reports. With this knowledge structure in place and novel state-of-the-art reasoning capabilities, based in consequence driven reasoners, a clinical QA system based in controlled natural language is introduced that reveals breakthrough possibilities regarding the applicability of Artificial Intelligence techniques to the medical field
Mining motor symptoms UPDRS data of Parkinson's disease patients for the development of Hoehn and Yahr estimation decision support system
No full textIdentification and evolution of predictors of Sjögren's disease-associated mucosa-associated lymphoid tissue lymphoma development over time: a case-control study
No full textBackground: Non-Hodgkin lymphomas have a substantial impact on individuals with Sjögren's disease. This study focuses on mucosal-associated lymphoid tissue (MALT) lymphomas, which constitute the majority of Sjögren's disease-associated non-Hodgkin lymphomas. We aimed to identify reliable lymphoma predictors in patients with Sjögren's disease and study their progression over time. Methods: In this case-control study, patients diagnosed with Sjögren's disease-associated MALT lymphoma, with a minimum of 3 years between Sjögren's disease diagnosis and MALT lymphoma diagnosis, were included from three centres specialising in Sjögren's disease (University of Athens, Athens, Greece; University of Pisa, Pisa, Italy; and University of Udine, Udine, Italy) and matched 1:1 with control participants with Sjögren's disease who did not have lymphoma according to age, sex, disease duration at last follow up, and treatment modality. Three harmonised datasets were constructed, curated, and analysed to identify MALT lymphoma predictors, representing three distinct timepoints in lymphomagenesis progression: V1 at Sjögren's disease diagnosis, V2 3–4 years before lymphoma diagnosis, and V3 0·5–1·5 years before lymphoma diagnosis. All recruited patients fulfilled the 2016 American College of Rheumatology–European League Against Rheumatism criteria for Sjögren's disease. The primary outcome was to identify MALT lymphoma predictors in Sjögren's disease, present at the timepoint of Sjögren's disease diagnosis and 3–4 years before the diagnosis of MALT lymphoma. A fast correlation-based feature selection and logistic regression model was used at V1 and V2 to identify MALT lymphoma predictors. The progression of potential predictors was studied across V1, V2, and V3. Histological parameters were not included in the analysis. An individual with lived experience of Sjögren's disease was involved in the study design. Findings: 80 patients with Sjögren's disease-associated MALT lymphoma were included in the V1 dataset, 68 in the V2 dataset, and 80 in the V3 dataset, and matched to control participants with Sjögren's disease who did not have lymphoma. In both groups, 72 (90%) of 80 participants were women and eight (10%) were men. The mean age at Sjögren's disease diagnosis was 48·6 years (SD 11·6) in the lymphoma group and 48·7 years (11·5) in the control group. All patients were White, with 88 (55%) of 160 individuals of Greek nationality and 72 (45%) of Italian nationality. At the V1 timepoint, rheumatoid factor was the only independent lymphoma predictor (odds ratio 3·33 [95% CI 1·96–5·64]). At the V2 timepoint, rheumatoid factor (3·66 [95% CI 2·08–6·42]) and European League Against Rheumatism Sjögren's Syndrome Disease Activity Index ≥5 (3·88 [1·69–8·90]) were identified as independent lymphoma risk factors. The high disease activity during the transition from the V1 to V2 timepoint was attributed to specific B-cell-derived manifestations, including cryoglobulinaemia and glandular, cutaneous, and hematological manifestations. Interpretation: Following up patients with high-risk of Sjögren's disease-associated MALT lymphoma based on the temporal progression of predictors presents an opportunity for early diagnosis and potential therapeutic interventions. Rheumatoid factor was the earliest and most persistent independent predictor of lymphoma. Specific B-cell manifestations in combination with rheumatoid factor indicate a more advanced stage of the lymphomagenesis process. Funding: European Commission—Horizon 2020
Clinical and laboratory findings of primary Sjögren's syndrome patients without sicca symptoms
No full textObjectivePrimary Sjogren's syndrome (pSS) is a systemic autoimmune disease characterised by oral and eye dryness. A minority of patients can present without dryness but studies on their clinico-laboratory manifestations are scarce. Our purpose was to describe the clinical phenotype of pSS patients lacking sicca symptoms.MethodsFrom a total of 1738 consecutive pSS patients fulfilling the 2016 ACR-EULAR criteria, those who presented without sicca symptoms were identified (non-dryness group). Their medical data was collected and compared with 2 control groups: a) the remaining unmatched sicca pSS patients with both oral and eye dryness (unmatched dryness group) and b) matched sicca pSS patients according to age, sex, and disease duration, in 1:2 ratio (matched dryness group).ResultsThirty-eight (2.19%) patients lacked sicca manifestations presenting mainly with arthralgias (47%), parotid enlargement (24%), Raynaud's phenomenon (11%) and persistent lymphadenopathy (11%) that led them to be evaluated for pSS. Non-dryness pSS patients were younger than the unmatched sicca controls, displaying a higher frequency of anti-Ro/SSA antibodies (100% vs. 79.7%, p<0.001), ANA positivity (100% vs. 90.4%, p<0.001), neutropenia (20.8% vs. 7.5%, p=0.04) and thrombocytopenia (13.8% vs. 4.2%, p=0.04). They also had lower frequency of positive ocular tests compared to both unmatched and matched dryness patients. No differences were found between non-dryness pSS patients and both control groups regarding focus score or any other extraglandular manifestation.ConclusionpSS patients without sicca complaints constitute a distinct phenotype involving younger patients, sharing common immunopathologic mechanisms with typical sicca patients
Medical data quality assessment: On the development of an automated framework for medical data curation
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A de-centralized framework for data sharing, ontology matching and distributed analytics
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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