Add to ORKGAbstract. We are developing prototypes that explicate our vision of connecting personal medical data to scientific literature as well as to emerging grey literature (e.g., community forums) to help people find and understand information relevant to complex medical journeys. We focus on robust combinations of natural language processing along with linked data and knowledge representation to build knowledge graphs that help people make sense of current conditions and enable new manners of scientific hypothesis generation. We present our work in the context of a breast cancer use case. We discuss the benefits of biomedical linked data resources and describe some potential assistive technology for navigating rich, diverse medical content
If you put your clinical information into an algorithm and it told you exactly when you will get sic...
Meaningful Use guidelines have pushed the United States Healthcare System to adopt electronic health...
We have used a natural language processing system to extract from electronic health records (EHR), c...
Developing an effective model for predicting risks of a disease requires exploration of a vast body ...
Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will ...
Natural Language Processing (NLP) has helped human beings to uncover knowledge once obscured and use...
Background Knowledge is often produced from data generated in scientific investigations. An ever-gro...
The biomedical data landscape is fragmented with several isolated, heterogeneous data and knowledge ...
Research on extracting biomedical relations has received growing attention recently, with numerous b...
The world is overflowing with text. This ever-growing resource has the ability to capture thoughts, ...
This paper summarizes the research background, concept, application, boundedness, research status, a...
The slides in this repository were developed for Dr. Marco Mesiti's, University of Milan, course tit...
Early identification and treatment of a diseases, especially when chronic, can reduce severe complic...
Successful biomedical data mining and information extraction require a complete picture of biologica...
Myriad biomedical data are available today and bring with them a need to "translate" those data into...
If you put your clinical information into an algorithm and it told you exactly when you will get sic...
Meaningful Use guidelines have pushed the United States Healthcare System to adopt electronic health...
We have used a natural language processing system to extract from electronic health records (EHR), c...
Developing an effective model for predicting risks of a disease requires exploration of a vast body ...
Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will ...
Natural Language Processing (NLP) has helped human beings to uncover knowledge once obscured and use...
Background Knowledge is often produced from data generated in scientific investigations. An ever-gro...
The biomedical data landscape is fragmented with several isolated, heterogeneous data and knowledge ...
Research on extracting biomedical relations has received growing attention recently, with numerous b...
The world is overflowing with text. This ever-growing resource has the ability to capture thoughts, ...
This paper summarizes the research background, concept, application, boundedness, research status, a...
The slides in this repository were developed for Dr. Marco Mesiti's, University of Milan, course tit...
Early identification and treatment of a diseases, especially when chronic, can reduce severe complic...
Successful biomedical data mining and information extraction require a complete picture of biologica...
Myriad biomedical data are available today and bring with them a need to "translate" those data into...
If you put your clinical information into an algorithm and it told you exactly when you will get sic...
Meaningful Use guidelines have pushed the United States Healthcare System to adopt electronic health...
We have used a natural language processing system to extract from electronic health records (EHR), c...