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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 22 1 A Machine Learning Approach to Detect Suicidal Ideation in US Veterans Based on Acoustic and Linguistic Features of Speech ... Sourirajan, Vaibhav; Belouali, Anas; Dutton, Mary Ann. - : arXiv, 2020 BASE Show details 2 Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention Gaur, Manas; Alambo, Amanuel; Sain, Joy Prakash... In: Faculty Publications (2019) BASE Show details 3 Personalized Prediction of Suicide Risk for Web-based Intervention Alambo, Amanuel; Gaur, Manas; Kursuncu, Ugur... In: Krishnaprasad Thirunarayan (2019) BASE Show details 4 Personalized Prediction of Suicide Risk for Web-based Intervention Alambo, Amanuel; Gaur, Manas; Kursuncu, Ugur... In: Amit P. Sheth (2019) BASE Show details 5 Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention Gaur, Manas; Alambo, Amanuel; Sain, Joy Prakash... In: Amit P. Sheth (2019) BASE Show details 6 Personalized Prediction of Suicide Risk for Web-based Intervention Alambo, Amanuel; Gaur, Manas; Kursuncu, Ugur... In: Kno.e.sis Publications (2018) BASE Show details 7 Comparative Analysis of Online Health Queries Originating from Personal Computers and Smart Devices on a Consumer Health Information Portal Wu, Stephen; Pathak, Jyotishman; Jadhav, Ashutosh Sopan... In: Ashutosh Jadhav (2015) BASE Show details 8 An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Ashutosh Jadhav (2015) BASE Show details 9 Online Information Searching for Cardiovascular Diseases: An Analysis of Mayo Clinic Search Query Logs Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Ashutosh Jadhav (2015) BASE Show details 10 Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal Jadhav, Ashutosh; Sheth, Amit; Pathak, Jyotishman. - : American Medical Informatics Association, 2014 BASE Show details 11 Online Information Searching for Cardiovascular Diseases: An Analysis of Mayo Clinic Search Query Logs Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Publications (2014) BASE Show details 12 An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Publications (2014) BASE Show details 13 Comparative Analysis of Online Health Queries Originating from Personal Computers and Smart Devices on a Consumer Health Information Portal Nelsen, Laurie; Wu, Stephen; Kumbamu, Ashok... In: Publications (2014) BASE Show details 14 Online Information Searching for Cardiovascular Diseases: An Analysis of Mayo Clinic Search Query Logs Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Kno.e.sis Publications (2014) BASE Show details 15 Comparative Analysis of Online Health Queries Originating from Personal Computers and Smart Devices on a Consumer Health Information Portal Andrews, Donna; Jadhav, Ashutosh Sopan; Pathak, Jyotishman; Wu, Stephen; Misitano, Andrew; Sheth, Amit P.; McCormick, Jennifer B.; Fiksdal, Alexander; Kumbamu, Ashok; Ryu, Euijung; Nelsen, Laurie In: Amit P. Sheth (2014) Abstract: Background: The number of people using the Internet and mobile/smart devices for health information seeking is increasing rapidly. Although the user experience for online health information seeking varies with the device used, for example, smart devices (SDs) like smartphones/tablets versus personal computers (PCs) like desktops/laptops, very few studies have investigated how online health information seeking behavior (OHISB) may differ by device. Objective: The objective of this study is to examine differences in OHISB between PCs and SDs through a comparative analysis of large-scale health search queries submitted through Web search engines from both types of devices. Methods: Using the Web analytics tool, IBM NetInsight OnDemand, and based on the type of devices used (PCs or SDs), we obtained the most frequent health search queries between June 2011 and May 2013 that were submitted on Web search engines and directed users to the Mayo Clinic’s consumer health information website. We performed analyses on “Queries with considering repetition counts (QwR)” and “Queries without considering repetition counts (QwoR)”. The dataset contains (1) 2.74 million and 3.94 million QwoR, respectively for PCs and SDs, and (2) more than 100 million QwR for both PCs and SDs. We analyzed structural properties of the queries (length of the search queries, usage of query operators and special characters in health queries), types of search queries (keyword-based, wh-questions, yes/no questions), categorization of the queries based on health categories and information mentioned in the queries (gender, age-groups, temporal references), misspellings in the health queries, and the linguistic structure of the health queries. Results: Query strings used for health information searching via PCs and SDs differ by almost 50%. The most searched health categories are “Symptoms” (1 in 3 search queries), “Causes”, and “Treatments & Drugs”. The distribution of search queries for different health categories differs with the device used for the search. Health queries tend to be longer and more specific than general search queries. Health queries from SDs are longer and have slightly fewer spelling mistakes than those from PCs. Users specify words related to women and children more often than that of men and any other age group. Most of the health queries are formulated using keywords; the second-most common are wh- and yes/no questions. Users ask more health questions using SDs than PCs. Almost all health queries have at least one noun and health queries from SDs are more descriptive than those from PCs. Conclusions: This study is a large-scale comparative analysis of health search queries to understand the effects of device type (PCs vs SDs) used on OHISB. The study indicates that the device used for online health information search plays an important role in shaping how health information searches by consumers and patients are executed. Keyword: Bioinformatics; Communication; Communication Technology and New Media; Computer Science and Engineering; Computer Sciences; Databases and Information Systems; eHealth; Health Information Search; Health Search Log; Health Seeking Behavior; Life Sciences; mHealth; Mobile Health; Online Health Information Seeking; OS and Networks; Physical Sciences and Mathematics; Science and Technology Studies; Search Query Analysis; Social and Behavioral Sciences URL: https://works.bepress.com/amit_sheth/73 BASE Hide details 16 Comparative Analysis of Online Health Queries Originating from Personal Computers and Smart Devices on a Consumer Health Information Portal Nelsen, Laurie; Kumbamu, Ashok; Ryu, Euijung... In: Kno.e.sis Publications (2014) BASE Show details 17 An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Kno.e.sis Publications (2014) BASE Show details 18 An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Amit P. Sheth (2014) BASE Show details 19 Online Information Searching for Cardiovascular Diseases: An Analysis of Mayo Clinic Search Query Logs Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Amit P. Sheth (2014) BASE Show details 20 Terminology Representation Guidelines for Biomedical Ontologies in the Semantic Web Notations Tao, Cui; Pathak, Jyotishman; Solbrig, Harold R.. - 2012 BASE Show details Page: 1 2

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