109 research outputs found

    INVESTIGATION OF TECHNIQUES FOR EFFICIENT & ACCURATE INDEXING FOR SCALABLE RECORD LINKAGE & DEDUPLICATION

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    Record linkage is the process of matching records from several databases that refer to the same entities. When applied on a single database, this process is known as deduplication. Increasingly, matched data are becoming important in many applications areas, because they can contain information that is not available otherwise, or that is too costly to acquire. Removing duplicate records in a single database is a crucial step in the data cleaning process, because duplicates can severely influence the outcomes of any subsequent data processing or data mining. With the increasing size of today’s databases, the complexity of the matching process becomes one of the major challenges for record linkage and deduplication. In recent years, various indexing techniques have been developed for record linkage and deduplication. They are aimed at reducing the number of record pairs to be compared in the matching process by removing obvious nonmatching pairs, while at the same time maintaining high matching quality. This paper presents a survey of variations of six indexing techniques. Their complexity is analyzed, and their performance and scalability is evaluated within an experimental framework using both synthetic and real data sets. These experiments highlight that one of the most important factors for efficient and accurate indexing for record linkage and deduplication is the proper definition of blocking keys

    Clustering on Spatial Data Sets Using Extended Linked Clustering Algorithms

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    Various clustering algorithms (CA) have been reported in literature, to group data into clusters in diverse domains. Literature further reported that, these CAs work satisfactorily either on pure numerical data or on pure categorical data and perform poorly on mixed numerical and categorical data. Clustering is the process of creating distribution patterns and obtaining intrinsic correlations in large datasets by arranging the data into similarity classes. The present work pertains to reviewing the available research papers on clustering spatial data. In a web perspective, a detailed inspection of grouped patterns and their belonging to well known characters will be very useful for evolution of clusters. The review work is split into spatial data mining, clustering on spatial data sets and extended linked clustering. This review work will enable the researchers to make an in depth study of the till date research work on above areas and will pave way for developing extended linked clustering algorithms with a view to find number of clusters on mixed datasets to produce results for several datasets. This work is likely to assist in deciding which clustering solution to use to obtain a coherent data solution for a particular character experiment. Further it could be used as an optimal tool to guide the clustering process towards better and character interpretable meaningful solutions. The major contribution of present work is to present an in depth literature review of research in the areas of Spatial data mining, clustering on spatial data sets and extended linked clustering with a view to assist researchers to develop optimum extended linked clustering and to develop optimum extended linked clustering algorithms for clustering process ,towards better and character interpretable meaningful solutions

    Case Report: A child with acute lymphocytic leukaemia

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    Clinical and microbiological profile of type 2 diabetic patients with urinary tract infections

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    Background: Diabetes Mellitus is reported to increase the risk of Urinary Tract Infection (UTI) with higher probability of drug resistant organisms. Understanding the burden, microbiological profile and antibiotic sensitivity pattern is vital for effective prevention and management. To assess the microbiological profile and antibiotic sensitivity pattern of Urinary Tract infections among type 2 diabetes mellitus patients.Methods: The study was A prospective observational study done on 117 type 2 diabetic subjects aged above 18 years presenting with symptoms of UTI in a tertiary care hospital Urine was analyzed for urine routine examination, culture and antibiotic sensitivity using standard testing methods on a midstream urine sample. Descriptive analysis was carried out by mean and standard deviation for quantitative variables, frequency and proportion for categorical variables.Results: The mean age of the study population was 57 years. Females constituted 62.39% of participants. Burning micturition (52.99%) was the most common presenting symptom. The prevalence of culture positive UTI was 51.28%. Among gram-negative bacilli, Escherichia coli (20.51%), Klebsiella (6.85%) dominated the culture reports. Enterococcus (4.27%) and Staphylococcus aureus (2.6%) were the common gram-positive organisms isolated.  Meropenem was the most effective antibiotic against E. coli (87.5%) and Klebsiella (95%) Vancomycin had 100% sensitivity against Enterococci and S. aureus.Conclusions: More than half of diabetic patients presenting with symptoms of UTI had culture positive UTI, predominantly caused by gram negative organisms. There is a need for comparative studies of Diabetes and controls to explore the key differences in the pattern of UTI

    Peak Detection Control Strategy based STATCOM for Suppression of Power Quality Problems

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    This paper explains about control of VSC using uni-polar switching based Static Compensator (STATCOM) using Peak Detection Control Strategy for elimination of PQ Problems. The proposed STATCOM are operated in PFC (Power Factor Correction) mode and ZVR (Zero Voltage Regulation) mode. Under these operation modes of STATCOM is able to suppression of harmonics, PFC at source, reactive power compensation, load balancing and compensation of neutral current. A non-isolated star/three individual single- phase transformers are connected at PCC (Point of Common Coupling) to mitigate neutral current. The Peak Detection Control Strategy is simple to implement for estimating switching pulses for VSC. This peak detection control strategy based STATCOM is modelled, simulated results are validated using MATLAB R2013b

    Acute Philadelphia Chromosome Positive Biphenotypic Leukemia Presenting with Bilateral Orbital Chloroma: A Rare Case Report

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    Introduction: Chloromas are characteristically formed by the extramedullary soft tissue infiltration by the immature myeloid malignant cells. Such extramedullary masses are most commonly seen in acute myeloid leukemia usually in the M2, M4, M5 subtypes of the AML FAB classification. However, it has been reported to rarely present only in pediatric patients with acute lymphoblastic leukemia.Presentation of the case: We encountered an unusual case of a young male, who presented with proptosis of both eyes followed by fever and fatigue. On evaluation, he was diagnosed to have bilateral orbital chloroma which was due to infiltration by leukemic cells of acute leukemia. Flowcytometry revealed features confirming an acute biphenotypic leukemia. Subsequently, cytogenetic evaluation revealed the leukemic cells to be Philadelphia chromosome positive.Conclusion: To our knowledge, this is the first case of bilateral orbital choloroma due to Philadelphia positive biphenotypic acute lymphoblastic leukemia

    Pancreatic neuroendocrine tumor in an individual with Von Hippel Lindau syndrome. A case report and review literature

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    Von Hippel Lindau (VHL) disease is a heritable cancer syndrome characterized by VHL gene mutation in 3p chromosome. Mutations occur at the exons. Rarely mutations at introns have been reported. It leads to accumulation of Hypoxic ischemic factor α (HIF α) which in turn leads to uncontrolled cellular proliferation. Few reports of pancreatic neuroendocrine tumors (PNETs) are there in the literature. Most of them are associated with a mutation in the exon of VHL gene. Association with intron mutation is not there. Here we are reporting a case of PNET in a patient who has a simultaneous mutation both at the exon and the intron

    Nationwide surveillance for Telmisartan alone or with combination at real world therapy in Indian patients with hypertension (START)

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    Background: Angiotensin receptor blockers (ARBs) are amongst the most preferred class of antihypertensive as reported at various evidences or guidelines. However, choice amongst ARBs differs between practicing physicians in real-life scenario. This survey aimed to understand the usage preferences of telmisartan therapy alone and in combination for treating hypertension (HT) among practitioners at various clinical settings in real-life scenario in India.Methods: A cross‑sectional survey was conducted with a pre-validated survey questionnaire consisting of 15 questions pertaining to the telmisartan and its combination usage in HT management. Total 498 registered medical practitioners (mostly physicians and cardiologists) had participated in survey. They were approached for seeking their perception, opinions, and prescribing behaviour. Categorical data was summarized by number (n) and percentage (%) in each category. Data were summarised in frequency tables.Results: Key findings from the data analysed were as follows: Around 20-40% of patients been reported to have co-morbid hypertension and diabetes as reported by majority of the physicians. Preferred class of drug in patients with hypertension with diabetes reported to be ARB. Around 90.36% of doctors reported that telmisartan was the most preferred ARB in patients with hypertension associated with high cardiovascular risk. Around 90.76% of doctors reported for their preference for telmisartan in patients with hypertension for 24-hr BP control. Around 82.93% of doctors preferred telmisartan in patients with hypertension and stroke/post-MI status.Conclusions: Indian healthcare practitioners prefer telmisartan as the most preferred ARB either alone or in a combination in patients with hypertension, including those with comorbidities

    Head and Neck Lymphomas: Tip of the Iceberg?

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    ABSTRACT Background: Lymphomas comprise around 5% of all head and neck neoplasms and is the second most common extra nodal non hodgkin's lymphoma (NHL). However there is sporadic data on this entity from the subcontinent and hence we undertook this study. Methodology: This retrospective observational study was conducted at a tertiary care oncology center in India on diagnosed cases of NHL between January 2007 and December 2013. All patients were diagnosed based on histopathology and immunohistochemistry. Staging work up was done in all patients. Patients were considered as primary Head and Neck lymphomas if there was head and neck as the predominant site with or without regional lymph node involvement. Results: A total of 39 patients were studied. The age at presentation ranged from 29 to 78 years. The most common site of presentation was oral cavity (26%; n=10), followed by parotid and thyroid (18% each; n=7), eye (12%, n=5), maxilla (8%; n=3), paranasal sinuses (8%; n-=3) cheek (8%, n=3), and nasal cavity (2%, n=1). 41% (n=16) cases were in stage I, 43% (n=17) in stage II, 3% (n=1) in stage III, and 13% (n=5) were in stage IV. Most common histology was DLBCL (71%; n=28), followed by plasmablastic (10%; n=4), marginal zone (8%, n=3), mantle cell (3%; n=1), follicular lymphomas (5%; n=2), and NK/T cell lymphoma (3%; n=1). Most of the patients were of low risk (67%; n=26), followed by intermediate (23%; n=9), and high risk (10%; n=4). Patients were treated with anthracycline based chemotherapy +/-radiotherapy. In this study, stage I and stage II patients had a better prognosis and overall survival, median OS 28 months and 11 months, respectively. In stage III and IV, it was 7 and 3 months, respectively. According to site, the best median overall survival was seen with parotid (27 m), paranasal sinus (26m), and oral cavity (23 m), followed by thyroid (18 m) nasal cavity (17 m), maxilla (11 m), eye (8 m), and cheek (7 m)
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