The paper systematically compares two feature extraction algorithms to mine product features commented on in customer reviews. The first approach [17] identifies candidate features by applying a set of POS patterns and pruning the candidate set based on the Log Likelihood Ratio test. The second approach [11] applies association rule mining for identifying frequent features and a heuristic based on the presence of sentiment terms for identifying infrequent features. We evaluate the performance of the algorithms on five product specific document collections regarding consumer electronic devices. We perform an analysis of errors and discuss advantages and limitations of the algorithms.
Telemonitoring is a tool with proven results demonstrating clinical benefits in reducing mortality and hospitalizations. In this context, heart rate and rhythm are vital signs of utmost importance for monitoring a patient's condition. Recent advances in mobile technologies have allowed smartphones to be of great usage in this scenario, given its processing power, connectivity capabilities, sensor hardware and camera quality. This paper describes the usage of a smartphone camera to detect the heart rate and rhythm of a patient. A photoplethysmogram signal is obtained with the user's fingertip placed over the smartphone camera. An evaluation has been performed on 43 subjects with heart failure. For each patient the signal obtained with the smartphone camera was compared with the ECG signal acquired in hospital environment. Results demonstrate the heart rate can be effectively estimated using that approach with an error rate of 4.75%. Atrial Fibrillation detection with our method achieved a specificity of 97% and sensitivity of 75%
The incidence of chronic diseases is increasing and monitoring patients in a home environment is recommended. Noncompliance with prescribed medication regimens is a concern, especially among older people. Heart failure is a chronic disease that requires patients to follow strict medication plans permanently. With the objective of helping these patients managing information about their medicines and increasing adherence, the personal medication advisor CARMIE was developed as a conversational agent capable of interacting, in Portuguese, with users through spoken natural language. The system architecture is based on a language parser, a dialog manager, and a language generator, integrated with already existing tools for speech recognition and synthesis. All modules work together and interact with the user through an Android application, supporting users to manage information about their prescribed medicines. The authors also present a preliminary usability study and further considerations on CARMIE.
Heart failure is associated with high costs which are mainly the result of recurrent hospital admissions. New strategies to detect early decompensation and prevent heart failure-related hospitalizations and reduce total health care costs are needed. Telemonitoring is a novel tool based on the use of recent communication technologies to monitor simple clinical variables, in order to enable early detection of heart failure decompensation, providing an opportunity to prevent hospitalization. From conventional telemonitoring to more recent strategies using implantable cardiac devices or implantable hemodynamic monitors, the subject is under active investigation. Despite the beneficial effects reported by meta-analyses of small non-controlled studies, major randomized controlled trials have failed to demonstrate a positive impact of this strategy. Additionally, evidence regarding the value of newer monitoring devices is somewhat contradictory, as some studies show benefits in prognosis which are not confirmed by others. This paper provides an overview of the existing evidence on telemonitoring in heart failure and a comprehensive state-of-the-art discussion on this topic.
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