�ݺ�ߣshows by User: Shea

�ݺ�ߣshows by User: Shea_Kathryne / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: Shea_Kathryne / Tue, 04 Jun 2019 01:32:42 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: Shea_Kathryne A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic /slideshow/a-knowledge-graphbased-approach-for-exploring-the-us-opioid-epidemic/148809955 iclrposter-190604013242
The United States is in the midst of an opioid epidemic with recent estimates indicating that more than 130 people die every day due to drug overdose. The over-prescription and addiction to opioid painkillers, heroin, and synthetic opioids, has led to a public health crisis and created a huge social and economic burden. Statistical learning methods that use data from multiple clinical centers across the US to detect opioid over-prescribing trends and predict possible opioid misuse are required. However, the semantic heterogeneity in the representation of clinical data across different centers makes the development and evaluation of such methods difficult and non-trivial. We create the Opioid Drug Knowledge Graph (ODKG) -- a network of opioid-related drugs, active ingredients, formulations, combinations, and brand names. We use the ODKG to normalize drug strings in a clinical data warehouse consisting of patient data from over 400 healthcare facilities in 42 different states. We showcase the use of ODKG to generate summary statistics of opioid prescription trends across US regions. These methods and resources can aid the development of advanced and scalable models to monitor the opioid epidemic and to detect illicit opioid misuse behavior. Our work is relevant to policymakers and pain researchers who wish to systematically assess factors that contribute to opioid over-prescribing and iatrogenic opioid addiction in the US.]]>
The United States is in the midst of an opioid epidemic with recent estimates indicating that more than 130 people die every day due to drug overdose. The over-prescription and addiction to opioid painkillers, heroin, and synthetic opioids, has led to a public health crisis and created a huge social and economic burden. Statistical learning methods that use data from multiple clinical centers across the US to detect opioid over-prescribing trends and predict possible opioid misuse are required. However, the semantic heterogeneity in the representation of clinical data across different centers makes the development and evaluation of such methods difficult and non-trivial. We create the Opioid Drug Knowledge Graph (ODKG) -- a network of opioid-related drugs, active ingredients, formulations, combinations, and brand names. We use the ODKG to normalize drug strings in a clinical data warehouse consisting of patient data from over 400 healthcare facilities in 42 different states. We showcase the use of ODKG to generate summary statistics of opioid prescription trends across US regions. These methods and resources can aid the development of advanced and scalable models to monitor the opioid epidemic and to detect illicit opioid misuse behavior. Our work is relevant to policymakers and pain researchers who wish to systematically assess factors that contribute to opioid over-prescribing and iatrogenic opioid addiction in the US.]]> Tue, 04 Jun 2019 01:32:42 GMT /slideshow/a-knowledge-graphbased-approach-for-exploring-the-us-opioid-epidemic/148809955 Shea_Kathryne@slideshare.net(Shea_Kathryne) A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic Shea_Kathryne The United States is in the midst of an opioid epidemic with recent estimates indicating that more than 130 people die every day due to drug overdose. The over-prescription and addiction to opioid painkillers, heroin, and synthetic opioids, has led to a public health crisis and created a huge social and economic burden. Statistical learning methods that use data from multiple clinical centers across the US to detect opioid over-prescribing trends and predict possible opioid misuse are required. However, the semantic heterogeneity in the representation of clinical data across different centers makes the development and evaluation of such methods difficult and non-trivial. We create the Opioid Drug Knowledge Graph (ODKG) -- a network of opioid-related drugs, active ingredients, formulations, combinations, and brand names. We use the ODKG to normalize drug strings in a clinical data warehouse consisting of patient data from over 400 healthcare facilities in 42 different states. We showcase the use of ODKG to generate summary statistics of opioid prescription trends across US regions. These methods and resources can aid the development of advanced and scalable models to monitor the opioid epidemic and to detect illicit opioid misuse behavior. Our work is relevant to policymakers and pain researchers who wish to systematically assess factors that contribute to opioid over-prescribing and iatrogenic opioid addiction in the US. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iclrposter-190604013242-thumbnail.jpg?width=120&height=120&fit=bounds" /> The United States is in the midst of an opioid epidemic with recent estimates indicating that more than 130 people die every day due to drug overdose. The over-prescription and addiction to opioid painkillers, heroin, and synthetic opioids, has led to a public health crisis and created a huge social and economic burden. Statistical learning methods that use data from multiple clinical centers across the US to detect opioid over-prescribing trends and predict possible opioid misuse are required. However, the semantic heterogeneity in the representation of clinical data across different centers makes the development and evaluation of such methods difficult and non-trivial. We create the Opioid Drug Knowledge Graph (ODKG) -- a network of opioid-related drugs, active ingredients, formulations, combinations, and brand names. We use the ODKG to normalize drug strings in a clinical data warehouse consisting of patient data from over 400 healthcare facilities in 42 different states. We showcase the use of ODKG to generate summary statistics of opioid prescription trends across US regions. These methods and resources can aid the development of advanced and scalable models to monitor the opioid epidemic and to detect illicit opioid misuse behavior. Our work is relevant to policymakers and pain researchers who wish to systematically assess factors that contribute to opioid over-prescribing and iatrogenic opioid addiction in the US.

A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic from Shea K. Zhao

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0 Department of Biomedical Data Science symposium poster /slideshow/department-of-biomedical-data-science-symposium-poster-121357845/121357845 s4sg-poster-181101015812
Stats for Social Good group's poster presented at the Department of Biomedical Data Science symposium September 13th, 2018. ]]>
Stats for Social Good group's poster presented at the Department of Biomedical Data Science symposium September 13th, 2018. ]]> Thu, 01 Nov 2018 01:58:12 GMT /slideshow/department-of-biomedical-data-science-symposium-poster-121357845/121357845 Shea_Kathryne@slideshare.net(Shea_Kathryne) Department of Biomedical Data Science symposium poster Shea_Kathryne Stats for Social Good group's poster presented at the Department of Biomedical Data Science symposium September 13th, 2018. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/s4sg-poster-181101015812-thumbnail.jpg?width=120&height=120&fit=bounds" /> Stats for Social Good group's poster presented at the Department of Biomedical Data Science symposium September 13th, 2018.

Department of Biomedical Data Science symposium poster from Shea K. Zhao

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0 Outline of Feasibility Study: Re-integration of former Child Soldiers in Nepal /slideshow/outline-of-feasi/44810280 childsoldiers1-150217194924-conversion-gate01
Outline of Feasibility Study: Re-integration of former Child Soldiers in Nepal]]>
Outline of Feasibility Study: Re-integration of former Child Soldiers in Nepal]]> Tue, 17 Feb 2015 19:49:24 GMT /slideshow/outline-of-feasi/44810280 Shea_Kathryne@slideshare.net(Shea_Kathryne) Outline of Feasibility Study: Re-integration of former Child Soldiers in Nepal Shea_Kathryne Outline of Feasibility Study: Re-integration of former Child Soldiers in Nepal <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/childsoldiers1-150217194924-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Outline of Feasibility Study: Re-integration of former Child Soldiers in Nepal

Outline of Feasibility Study: Re-integration of former Child Soldiers in Nepal from Shea K. Zhao

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0 Initial Observational Research on Children Working in Tea Shops in Nepal /slideshow/observational-research-on-children-working-in-tea-shops-in-nepal/44810210 childlaborppt11-150217194606-conversion-gate01
Initial Observational Research on Children Working in Tea Shops in Nepal]]>
Initial Observational Research on Children Working in Tea Shops in Nepal]]> Tue, 17 Feb 2015 19:46:06 GMT /slideshow/observational-research-on-children-working-in-tea-shops-in-nepal/44810210 Shea_Kathryne@slideshare.net(Shea_Kathryne) Initial Observational Research on Children Working in Tea Shops in Nepal Shea_Kathryne Initial Observational Research on Children Working in Tea Shops in Nepal <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/childlaborppt11-150217194606-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Initial Observational Research on Children Working in Tea Shops in Nepal

Initial Observational Research on Children Working in Tea Shops in Nepal from Shea K. Zhao

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0 Research Proposal: Impact of Parental Absence or Presence on Left-behind Children in Rural China /slideshow/shelton-final-presentation-lbcwithnotes/44809723 sheltonfinalpresentationlbcwithnotes-150217192342-conversion-gate01
China’s migrant population has exploded in past few decades as the country’s rapid economic growth and development in urban areas have attracted millions rural migrants. Rural-to-urban migrants flock to cities to provide the labor and services many urban dwellers will not. Although migrant workers will often earn higher income laboring in urban areas, they experience discrimination and do not have the benefits that urban residents are entitled to. Because of the hardship that migrants often face, many migrant parents chose to leave their children in the countryside under the care of family or friends. The proposed study aims to understand the impact of parental absence or presence on rural children in China from a slightly different perspective from most of the existing literature on the subject. Most of the literature does not consider the gender of the parent who has migrated when investigating the impacts of parental migration on rural Children. The impact of single parenthood in the context of parental migration and left-behind children (LBC) is also overlooked. Those studies which do consider single parenthood tend to focus on the absence of the father. Finally, much of the existing literature does not consider data at a multi-provincial level as it often focuses on one location or one province. The target audience for this paper will be those who are empowered to take action to resolve the problems that LBC face due to the absence of their parents. This audience includes: policy makers, local and central Chinese Government officials, non-governmental organizations, international organizations, and the families and communities of children. This paper will hopefully aid readers by helping them to better understand how gender and single-parent hood impact LBC – a topic largely neglected in the literature.]]>
China’s migrant population has exploded in past few decades as the country’s rapid economic growth and development in urban areas have attracted millions rural migrants. Rural-to-urban migrants flock to cities to provide the labor and services many urban dwellers will not. Although migrant workers will often earn higher income laboring in urban areas, they experience discrimination and do not have the benefits that urban residents are entitled to. Because of the hardship that migrants often face, many migrant parents chose to leave their children in the countryside under the care of family or friends. The proposed study aims to understand the impact of parental absence or presence on rural children in China from a slightly different perspective from most of the existing literature on the subject. Most of the literature does not consider the gender of the parent who has migrated when investigating the impacts of parental migration on rural Children. The impact of single parenthood in the context of parental migration and left-behind children (LBC) is also overlooked. Those studies which do consider single parenthood tend to focus on the absence of the father. Finally, much of the existing literature does not consider data at a multi-provincial level as it often focuses on one location or one province. The target audience for this paper will be those who are empowered to take action to resolve the problems that LBC face due to the absence of their parents. This audience includes: policy makers, local and central Chinese Government officials, non-governmental organizations, international organizations, and the families and communities of children. This paper will hopefully aid readers by helping them to better understand how gender and single-parent hood impact LBC – a topic largely neglected in the literature.]]> Tue, 17 Feb 2015 19:23:41 GMT /slideshow/shelton-final-presentation-lbcwithnotes/44809723 Shea_Kathryne@slideshare.net(Shea_Kathryne) Research Proposal: Impact of Parental Absence or Presence on Left-behind Children in Rural China Shea_Kathryne China’s migrant population has exploded in past few decades as the country’s rapid economic growth and development in urban areas have attracted millions rural migrants. Rural-to-urban migrants flock to cities to provide the labor and services many urban dwellers will not. Although migrant workers will often earn higher income laboring in urban areas, they experience discrimination and do not have the benefits that urban residents are entitled to. Because of the hardship that migrants often face, many migrant parents chose to leave their children in the countryside under the care of family or friends. The proposed study aims to understand the impact of parental absence or presence on rural children in China from a slightly different perspective from most of the existing literature on the subject. Most of the literature does not consider the gender of the parent who has migrated when investigating the impacts of parental migration on rural Children. The impact of single parenthood in the context of parental migration and left-behind children (LBC) is also overlooked. Those studies which do consider single parenthood tend to focus on the absence of the father. Finally, much of the existing literature does not consider data at a multi-provincial level as it often focuses on one location or one province. The target audience for this paper will be those who are empowered to take action to resolve the problems that LBC face due to the absence of their parents. This audience includes: policy makers, local and central Chinese Government officials, non-governmental organizations, international organizations, and the families and communities of children. This paper will hopefully aid readers by helping them to better understand how gender and single-parent hood impact LBC – a topic largely neglected in the literature. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sheltonfinalpresentationlbcwithnotes-150217192342-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> China’s migrant population has exploded in past few decades as the country’s rapid economic growth and development in urban areas have attracted millions rural migrants. Rural-to-urban migrants flock to cities to provide the labor and services many urban dwellers will not. Although migrant workers will often earn higher income laboring in urban areas, they experience discrimination and do not have the benefits that urban residents are entitled to. Because of the hardship that migrants often face, many migrant parents chose to leave their children in the countryside under the care of family or friends. The proposed study aims to understand the impact of parental absence or presence on rural children in China from a slightly different perspective from most of the existing literature on the subject. Most of the literature does not consider the gender of the parent who has migrated when investigating the impacts of parental migration on rural Children. The impact of single parenthood in the context of parental migration and left-behind children (LBC) is also overlooked. Those studies which do consider single parenthood tend to focus on the absence of the father. Finally, much of the existing literature does not consider data at a multi-provincial level as it often focuses on one location or one province. The target audience for this paper will be those who are empowered to take action to resolve the problems that LBC face due to the absence of their parents. This audience includes: policy makers, local and central Chinese Government officials, non-governmental organizations, international organizations, and the families and communities of children. This paper will hopefully aid readers by helping them to better understand how gender and single-parent hood impact LBC – a topic largely neglected in the literature.

Research Proposal: Impact of Parental Absence or Presence on Left-behind Children in Rural China from Shea K. Zhao

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0 https://cdn.slidesharecdn.com/profile-photo-Shea_Kathryne-48x48.jpg?cb=1559611874 https://tulane.academia.edu/SheaShelton https://www.linkedin.com/in/skzhao/ github.com/SheaZhao https://cdn.slidesharecdn.com/ss_thumbnails/iclrposter-190604013242-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/a-knowledge-graphbased-approach-for-exploring-the-us-opioid-epidemic/148809955 A Knowledge Graph-base... https://cdn.slidesharecdn.com/ss_thumbnails/s4sg-poster-181101015812-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/department-of-biomedical-data-science-symposium-poster-121357845/121357845 Department of Biomedic... https://cdn.slidesharecdn.com/ss_thumbnails/childsoldiers1-150217194924-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/outline-of-feasi/44810280 Outline of Feasibility...