Abstract Nowadays Digital Image processing plays a significant part in medical Imaging systems for an early diagnosis of the problems. Pulmonary Tuberculosis Diagnosis and treatment has been a challenge to medical as well as to research community. Forecasting at an early stage of lung situation in this problem may help the patient and medical professional […]
ABSTRACT: The data in healthcare is expected to increase in coming years as there are different kinds of health data like EHR (Electronic Health Records), genomic, that are processed with big data processing. Although many technologies are used for big processing with health care records, which uses predictive analysis however which is not sufficient for […]
Abstract This paper proposes a Neural Network classifier model for the automatic identification of cardiac arrhythmias. Our main aim is to have a better classification rate in a minimum time with simple algorithms in their implementation. The wavelet transform is used to extract the parameters which characterize different arrhythmic pathologies and thus constitute the bases […]
Abstract Non communicable diseases (NCDs), though not as dangerous as communicable diseases as far as proliferation is concerned, these are dangerous by themselves because of their root causes. In this article, our main focus is on predictive analysis of smoking, which is a non-communicable disease, using regression analysis. Regression analysis is a cornerstone of predictive […]
Abstract Diabetes, a chronic disease, occurs due to abnormal levels of glucose and insulin in our bodies. The major factors leading to the disease are lifestyle factors such as diet, insufficient physical activity, increased stress levels and obesity. One of the major issue with diabetes is the mildness of its symptoms which delays its diagnosis […]
Abstract Punctuation performs an important role in language processing. However, automated speech recognization systems only output plain terms sequences. It really is then appealing to predict punctuations on simple word sequences. Earlier works are focused on using lexical features or prosodic cues captured from small corpus to predictable simple punctuations. When compared with simple punctuations, […]
Abstract Web usage mining is one of the essential frameworks to find domain knowledge from interaction of users with the web. This domain knowledge is used for effective management of predictive websites, creation of adaptive websites, enhancing business and web services, personalization and so on. In non-profitable organization’s website it is difficult to identify who […]
Abstract In India there are many organizations/institutions committed for protection of ancient palm leaf manuscripts [8] in order to store our precious knowledge writings. As the time passes by, these palm leaves are getting spoiled by artificial and natural elements. With the growing technology worldwide, we are aimed to digitize all these palm leaf manuscripts […]
Abstract Information retrieval technology has been central to the success of the web. The volume of information stored and accessed on web is increasing continuously. This enlargement leads to the difficulties such as seeking and managing the existing information. The use of keyword based method in information retrieval processing is the reason behind this limitation […]
Abstract The temporal component of the spatio-temporal databases is the key factor that leads to large accumulation of data. It can be said that continuous collection of spatial data, leads to spatio-temporal databases. An event type sequence is called as a sequential pattern and extracting such sequential patterns from spatio-temporal event data sets paves way […]