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An Automatic Threshold Selection Using ALO for Healthcare Duplicate Record Detection with Reciprocal Neuro-Fuzzy Inference System

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Computers, Materials & Continua 2023年第3期74卷 5821-5836页

作者： Ala Saleh Alluhaidan Pushparaj Anitha Subbappa Ved Prakash Mishra P.V.Chandrika Anurika Vaish sarthak sengupta Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhKSA.P.O.Box:8442811671 Department of Electronics and Communication Engineering National Institute of Technical Teacher Training and ResearchChandigarh160019India Department of Periodontology JSS Dental College&HospitalJSS Academy of Higher Education and ResearchMysuru570015India Department of Computer Science and Engineering Amity UniversityDubai345019United Arab Emirates Department of Management/Economics Prin LN Welingkar Institute of Management Development and ResearchMumbai400019India Department of Management Studies Indian Institute of Information TechnologyAllahabad211012India

ESystems based on EHRs(Electronic health records)have been in use for many years and their amplified realizations have been felt *** still have been pioneering collections of massive volumes of health *** detections involve discovering records referring to the same practical components,indicating tasks,which are generally dependent on several input parameters that experts *** linkage specifies the issue of finding identical records across various data *** similarity existing between two records is characterized based on domain-based similarity functions over different ***-duplication of one dataset or the linkage of multiple data sets has become a highly significant operation in the data processing stages of different data mining *** objective is to match all the records associated with the same *** measures have been in use for representing the quality and complexity about data linkage algorithms,and many other novel metrics have been *** outline of the problem existing in themeasurement of data linkage and de-duplication quality and complexity is *** article focuses on the reprocessing of health data that is horizontally divided among data custodians,with the purpose of custodians giving similar features to sets of *** first step in this technique is about an automatic selection of training examples with superior quality from the compared record pairs and the second step involves training the reciprocal neuro-fuzzy inference system(RANFIS)*** the Optimal Threshold classifier,it is presumed that there is information about the original match status for all compared record pairs(i.e.,Ant Lion Optimization),and therefore an optimal threshold can be computed based on the respective ***,Clinical Decision(CD),and Cork Open Research Archive(CORA)data repository help analyze the proposed method with evaluated benchmarks with current techniques.

关键词： Duplicate detection healthcare record linkage dataset pre-processing reciprocal neuro-fuzzy inference system and ant lion optimization fuzzy system

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Overreaction and Availability Bias: Analysis of Real Estate Sector’s Stock Prices and Investors’ Reaction during Demonetisation in India

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Journal of Modern Accounting and Auditing 2019年第5期15卷 232-240页

作者： Kavita Singh sarthak sengupta Anurika Vaish Indian Institute of Information Technology Allahabad India

The stock market is full of events that affect the sensitivity reaction of investors at a large scale. Individual investor sentiment is just like his/her personal feeling depending upon their nature, risk appetite, and market scenario. This research study investigates the investors’ reaction in the stock market for the real estate segment during the massive market crisis in developing countries. Demonetisation of 2016 in India has been taken with the purpose of implementing a pilot study to analyse the overreaction and availability bias. The primary focus was on analysing how the investors react on the information of demonetisation and their pattern of investment in the stock market with a special emphasis on real estate sector where the effect of the event had dramatically changed the stock prices. Therefore, a pre- and post- analysis had been conducted to gauge the prices, sensitivity, and reaction of investors in the stock market. The reaction of the citizens after these events was found to be drastically affected. Five real estate companies had been focused upon in this study to examine the impact of investors’ overreaction owing to the demonetisation and their investment pattern for stocks during pre- and post- demonetisation period at that timeframe. The analysis was done on a shorter period of time so that the impact of overreaction and availability bias can be critically analysed. The paper thus exhibits how investor sentiments and reaction for stock preference had changed over time through statistical study.

关键词： investor sentiment stock market demonetisation overreaction availability bias

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