49 research outputs found
Sideffective-system to mine patient reviews: side effect extraction
No full textSideffective is the system to crawl, rank and analyze patient testimonials about side effects from common medications. Since the wealth of any mining model is the Data corpus, the data collection phase involved extensive crawling of massive medical websites comprised of user forums from the internet. Subsequently, the raw files were subjected to certain site-specific parsing routines, yielding outputs conforming to a well-defined data model. Currently, the system holds close to 400,000 user testimonials pertaining to more than 2500 drugs/medicines. Sideffective aims at gathering and aggregating this wealth of information, build useful associations and present interesting observations and numeric validations, all in a user-friendly interface. The important issues that we have tried to tackle are: Extracting side effects without relying on pre-built lists, aggregating distribution of different side effect for a give drug, site-specific search, ranking and determining the negativity of reviews. The main focus of this thesis undertaking is Extraction & Discovery of Side effect from a users review about a drug. Apache Lucene's Shingle Analyzer, which extracts terms and their frequency, was used to generate more than 7 million phrases out of which the top 25,000 terms, with frequencies more than 100 was chosen for discovering side effects. After eliminating the syntactically incorrect phrases, our method calculates the frequency of occurrence of each of the terms in a medical websites domain versus a purely non-medical user websites domain, which proves to be highly effective in extracting side effects. Using this technique, more than 600 unique side effects reported by users has been discovered without using any fixed lists. This list extracted is also used to mine and summarize patients reviews. The aggregation and distribution tables we built, effectively determine top reactions exhibited by various drugs and reverse mapping of the same, demonstrating the symptom to drug associations. Our system also eliminates synonymous side effects as well as cures falsely appearing as a possible side effect.M.S.Includes bibliographical referencesby Sangeetha Rajagopala
CADD: Context Awareness For Distraction-Free Driving, system design and implementation
No full textSmart phones have extended the capability of a phone from "texting and calling" to a whole new dimension of context-awareness with the capabilities of on-device sensors. This is particularly useful in providing context-adaptive user-centric automated services, which is emerging as an area of much current research interest. In this work, we present the system design aspects pertaining to Context Awareness for Distraction-free Driving (CADD) system, a realization of context awareness and context-aware automated services, designed to mitigate in-vehicle distraction caused by cell phones. Context awareness in this work refers to the state of the user: Driving or Available. This state is detected using a Bluetooth and GPS sensor based scheme on the device. Along with the end to end system design, our focus has been on reducing latency, enabling privacy driven data sharing and attaining reliability, aimed at optimization of automated services. The design exploits the Google Cloud to Device Messaging framework and Amazon Web Services to enable efficient communication between clients and allow scaling to large numbers of users. For critical services as context updates, we have improved the reliability from a success rate less than 50% to greater than 90%, by introducing triple re-transmissions and network connectivity monitored re-tries for intermittently connected devices. Further, we have tested both GPS based and Network based updates for location services. By using an algorithm that combines both GPS and Network based updates, we have reduced the latency of obtaining the first location fix from a few seconds (> 4seconds) to less than a second (~500-800msec) with a deviation in path limited to 500-1000m. This scheme also improved performance with in-door locations where GPS-based updates fail. To address the location related privacy concerns, our design maintains no location history information and utilizes proximity metrics namely time and distance, as opposed to plainly exposing the geo-location of users on maps. Further, we have also designed the user interfaces iteratively based on feedback from test users. The user interface has been optimized to keep the depth of navigation to be less than 4 (measured as the number of clicks or the screens navigated to complete one service).M.S.Includes bibliographical referencesby Sangeetha Siddegowd
Sugarcane Bagasse – A By-Product of Sugar Industry, Its Characterisation and Utilization in the Preparation of High Fiber Biscuits
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Studies on isolation, extraction and identification of enzymes involved in biodecaffeination
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Development and Evaluation of Idli batter starter culture
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
SEM, XRD and electrical conductivity studies of PVDF-HFP-LiBF4 –EC plasticized gel polymer electrolyte
No full textWITHDRAWN: Techniques for improving the efficiency of ion chamber dose calculations using EGSnrc Monte Carlo code
No full textThis article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy
Brain self and consciousness: Explaining the conspiracy of experience
No full textThis book discusses consciousness from the perspectives of neuroscience, neuropsychiatry and philosophy. It develops a novel approach in consciousness studies by charting the pathways in which the brain challenges the self and the self challenges the brain. The author argues that the central issue in brain studies is to explain the unity, continuity, and adherence of experience, whether it is sensory or mental awareness, phenomenal- or self-consciousness. To address such a unity is to understand mutual challenges that the brain and the self pose for each other. The fascinating discussions that this book presents are: How do the brain and self create the conspiracy of experience where the physicality of the brain is lost in the subjectivity of the self
