Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques

Sentiment analysis and opinion mining have become emerging topics of research in recent years but most of the work is focused on data in the English language. A comprehensive research and analysis are essential which considers multiple languages, machine translation techniques, and different classifiers. This paper presents, a comparative analysis of different approaches for multilingual sentiment analysis. These approaches are divided into two parts: one using classification of text without language translation and second using the translation of testing data to a target language, such as English, before classification. The presented research and results are useful for understanding whether machine translation should be used for multilingual sentiment analysis or building language specific sentiment classification systems is a better approach. The effects of language translation techniques, features, and accuracy of various classifiers for multilingual sentiment analysis is also discussed in this study

A study of chronic kidney disease patients with no known risk factors coming to tertiary care hospital

Background: Chronic kidney disease (CKD) has become a major cause of morbidity and. in some parts of the world CKD incidence has increased regardless of hypertension, diabetes mellitus or metabolic syndrome. This study was done to identify the unknown factors which can be contributing to the increased incidence of CKD.Methods: It was a case control study. There were 61 cases and 50 controls. A detailed history regarding residence, occupation, addiction, drug intake, family history, diet and environmental factors was taken. The data was analysed to identify a common factor amongst the CKD patients who did not have history of any known risk factors of CKD.Results: Age of onset of CKD in 48% of cases was 5 years (30%) as compared to controls. Much more cases as compared to controls gave history of mixed diet (46% vs 26%). Much higher proportion of cases had history of heat exposure, excessive heating and sugarcane exposure (72%, 70% and 48% respectively) as compared to controls.Conclusions: This study supports the association of sugarcane exposure, heat exposure and excessive sweating with CKD and reports a changing trend of renal involvement starting at an earlier age. It highlights need of study with sufficient sample size and greater emphasis on family history, smoking, extent of heat exposure and sugarcane exposure to help identifying area of further research and guide policy making

‘Blood in pee’ campaign: Increased demand on secondary care with no change in cancers diagnosed

Objective:As part of the national Be Clear on Cancer campaign, the ‘blood in pee’ campaign was launched in 2013. We aimed to evaluate the impact of the campaign on 2-week wait (2WW) referrals and the resulting diagnoses of malignancy at a single trust, and secondly, to evaluate the socio-economic background of patients referred.Patients and methods:Suspected cancer 2WW patients in the 3 months pre- and post-campaign were included. Demographics, investigations and diagnoses were recorded. A Kolmogorov–Smirnov test demonstrated a normal distribution. The data were treated as parametric and analysed with the unpaired Student’s t-test.Results:Referrals for visible haematuria significantly increased by 52% from 135 pre-campaign to 205 post-campaign (p = 0.03). There was a fall in the proportion of patients diagnosed with malignancy from 20.27% pre-campaign to 15.36% post-campaign. The mean index of multiple deprivation score of referrals did not change: p = 0.43.Conclusion:This campaign has increased referrals without increasing the proportion of malignancies diagnosed, placing large demand on services without benefit or extra funding. Nor has the campaign effectively reached deprived socio-economic groups. There is little evidence as to the efficacy of untargeted cancer awareness campaigns and further work is needed to improve their pick-up of malignancies

A novel patient engagement platform using accessible text messages and calls (Epharmix): Feasibility study

BACKGROUND: Patient noncompliance with therapy, treatments, and appointments represents a significant barrier to improving health care delivery and reducing the cost of care. One method to improve therapeutic adherence is to improve feedback loops in getting clinically acute events and issues to the relevant clinical providers as necessary (ranging from detecting hypoglycemic events for patients with diabetes to notifying the provider when patients are out of medications). Patients often don\u27t know which information should prompt a call to their physician and proactive checks by the clinics themselves can be very resource intensive. We hypothesized that a two-way SMS system combined with a platform web service for providers would enable both high patient engagement but also the ability to detect relevant clinical alerts. OBJECTIVE: The objectives of this study are to develop a feasible two-way automated SMS/phone call + web service platform for patient-provider communication, and then study the feasibility and acceptability of the Epharmix platform. First, we report utilization rates over the course of the first 18 months of operation including total identified clinically significant events, and second, review results of patient user-satisfaction surveys for interventions for patients with diabetes, COPD, congestive heart failure, hypertension, surgical site infections, and breastfeeding difficulties. METHODS: To test this question, we developed a web service + SMS/phone infrastructure ( Epharmix ). Utilization results were measured based on the total number of text messages or calls sent and received, with percentage engagement defined as a patient responding to a text message at least once in a given week, including the number of clinically significant alerts generated. User satisfaction surveys were sent once per month over the 18 months to measure satisfaction with the system, frequency and degree of communication. Descriptive statistics were used to describe the above information. RESULTS: In total, 28,386 text messages and 24,017 calls were sent to 929 patients over 9 months. Patients responded to 80% to 90% of messages allowing the system to detect 1164 clinically significant events. Patients reported increased satisfaction and communication with their provider. Epharmix increased the number of patient-provider interactions to over 10 on average in any given month for patients with diabetes, COPD, congestive heart failure, hypertension, surgical site infections, and breastfeeding difficulties. CONCLUSIONS: Engaging high-risk patients remains a difficult process that may be improved through novel, digital health interventions. The Epharmix platform enables increased patient engagement with very low risk to improve clinical outcomes. We demonstrated that engagement among high-risk populations is possible when health care comes conveniently to where they are

A Novel C-Terminal CIB2 (Calcium and Integrin Binding Protein 2) Mutation Associated with Non-Syndromic Hearing Loss in a Hispanic Family

Hearing loss is a complex disorder caused by both genetic and environmental factors. Previously, mutations in CIB2 have been identified as a common cause of genetic hearing loss in Pakistani and Turkish populations. Here we report a novel (c.556C\u3eT; p.(Arg186Trp)) transition mutation in the CIB2 gene identified through whole exome sequencing (WES) in a Caribbean Hispanic family with non-syndromic hearing loss. CIB2 belongs to the family of calcium-and integrin-binding (CIB) proteins. The carboxy-termini of CIB proteins are associated with calcium binding and intracellular signaling. The p.(Arg186Trp) mutation is localized within predicted type II PDZ binding ligand at the carboxy terminus. Our ex vivo studies revealed that the mutation did not alter the interactions of CIB2 with Whirlin, nor its targeting to the tips of hair cell stereocilia. However, we found that the mutation disrupts inhibition of ATP-induced Ca2+ responses by CIB2 in a heterologous expression system. Our findings support p.(Arg186Trp) mutation as a cause for hearing loss in this Hispanic family. In addition, it further highlights the necessity of the calcium binding property of CIB2 for normal hearing

Coarse Grained Reconfigurable Array Based Architecture for Low Power Real Time Seizure Detection

There is increasing research and commercial interest in miniature on-body and implantable devices for continuous real-time biosignal monitoring. A key challenge in realizing this vision is in implementation of biosignal processing algorithms with acceptably low energy consumption. In this article, we investigate implementation of the REACT algorithm for real-time epileptic seizure detection on a Coarse Grained Reconfigurable Array (CGRA) based architecture. Computationally expensive biosignal processing tasks are offloaded from a conventional Digital Signal Processor (DSP) to the CGRA. The CGRA is designed to support low power biosignal processing by means of a systolic architecture, flexible interconnect and low resource usage. The CGRA architecture is shown to provide 38% and 60% improvements in energy consumption and in performance, respectively, for the REACT system, without the use of voltage scaling or increased clock frequency.Science Foundation Irelan

Rapid Functional Modelling and Simulation of Coarse Grained Reconfigurable Array Architectures

Increases in the complexity of Coarse Grained Reconfigurable Array (CGRA) architectures have made implementation of new architectures difficult and time consuming. Due to the large number of design options available, it is difficult for designers to make optimal design decisions in the early stages of the design cycle. This paper proposes a novel functional modelling framework for CGRA architectures which makes the design space exploration process easier and faster. The framework allows architecture modelling, application mapping and simulation in a single environment, avoiding development of a complex tool set. The proposed approach provides flexibility which allows users to quickly investigate many design options without remodelling. The usefulness and extensibility of the framework is illustrated by presentation of a case study and associated design metrics.Science Foundation Irelan

SYSCORE: A Coarse Grained Reconfigurable Array Architecture for Low Energy Biosignal Processing

19th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), Salt Lake City, Utah, USA, 1 - 3 May, 2011The promise of 24/7 patient monitoring and online diagnosis using wearable and implantable biomedical devices has engendered significant research interest in the development of low power biosignal processing platforms. Herein, a novel Coarse Grained Reconfigurable Array (CGRA) architecture is presented for low power, real time processing of biomedical signals. The proposed architecture differs from previously proposed CGRAs in that it is designed for low power, rather than for high performance. The proposed architecture was implemented in a software modeler and simulator and in Verilog. The architecture was shown to provide savings in energy consumption of up to 99% and speed up of up to 64 times compared to a conventional DSP processor for typical biosignal processing functions.Science Foundation Irelan