MIDAS - Revision history

Sarasi at 18:05, 18 August 2015

2015-08-18T18:05:00Z

Sarasi at 18:04, 18 August 2015

2015-08-18T18:04:13Z

Sarasi at 18:02, 18 August 2015

2015-08-18T18:02:47Z

Sarasi at 18:02, 18 August 2015

2015-08-18T18:02:26Z

Sarasi at 18:01, 18 August 2015

2015-08-18T18:01:43Z

Sarasi at 03:33, 17 August 2015

2015-08-17T03:33:40Z

Sarasi at 00:27, 4 August 2015

2015-08-04T00:27:27Z

Sarasi at 21:57, 3 August 2015

2015-08-03T21:57:46Z

Sarasi at 21:57, 3 August 2015

2015-08-03T21:57:05Z

Sarasi at 20:17, 3 August 2015

2015-08-03T20:17:54Z

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 =Overview=
-MIDAS is a two-phase project. In the first phase, Kno.e.sis will demonstrate its healthcare related semantic technology in the cardiology domain, and in the second phase, Kno.e.sis will apply this technology to the musculoskeletal disease domain. Both these domains can have high impact on the health and well-being of US population and consequently on the US healthcare budget. [http://www.cdc.gov/heartdisease/facts.htm Heart disease is the leading cause of death for both men and women in US]. US reports 610, 000 deaths due to heart diseases annually and it is the cause for 25% of the deaths.<ref>http://www.cdc.gov/heartdisease/facts.htm</ref> Furthermore, it has been reported that each year 735,000 Americans have heart attack and 525, 000 of them were reported as first time attacks. Musculoskeletal disease is among the most disabling and costly condition suffered by the Americans. A worldwide study conducted in 2012 reported that 1.7 billion people in the world suffer from musculoskeletal diseases such as arthritis and back pain. It is recognized as the second greatest cause of disability, and has the 4th greatest impact on the overall health of the world population when considering both death and disability. In US, it is reported that more than 50% of adults suffer from musculoskeletal disease. This number escalates for people over the age of 65, where it has been reported that nearly 75% suffer from musculoskeletal disease in that population segment. This problem becomes even more significant with the aging population in US. By 2040, the population over 65 is projected to grow from 15% to 21%.<ref>http://www.boneandjointburden.org</ref>
+MIDAS is a two-phase project. In the first phase, Kno.e.sis will demonstrate its healthcare related semantic technology in the cardiology domain, and in the second phase, Kno.e.sis will apply this technology to the musculoskeletal disease domain. Both these domains can have high impact on the health and well-being of US population and consequently on the US healthcare budget. [http://www.cdc.gov/heartdisease/facts.htm Heart disease is the leading cause of death for both men and women in US]. US reports 610, 000 deaths due to heart diseases annually and it is the cause for 25% of the deaths.<ref>http://www.cdc.gov/heartdisease/facts.htm</ref> Furthermore, it has been reported that each year 735,000 Americans have heart attack and 525, 000 of them were reported as first time attacks. [http://www.boneandjointburden.org/ Musculoskeletal disease is among the most disabling and costly condition suffered by the Americans]. A worldwide study conducted in 2012 reported that 1.7 billion people in the world suffer from musculoskeletal diseases such as arthritis and back pain. It is recognized as the second greatest cause of disability, and has the 4th greatest impact on the overall health of the world population when considering both death and disability. In US, it is reported that more than 50% of adults suffer from musculoskeletal disease. This number escalates for people over the age of 65, where it has been reported that nearly 75% suffer from musculoskeletal disease in that population segment. This problem becomes even more significant with the aging population in US. By 2040, the population over 65 is projected to grow from 15% to 21%.<ref>http://www.boneandjointburden.org</ref>
 Ultimately, the goal of the MIDAS project is to enhance the current capabilities of the Electronic Medical Record System used by the Department of Defense focusing on domains such as  these. The broader agenda includes enhancing the communication between the physicians and the patients who are currently limited to the regular visits, extracting and exploiting the knowledge buried in the medical records to identify more effective treatment plans, and empowering the patients by enabling them to monitor their health status.

@@ Line 7: / Line 7: @@
 =Overview=
-MIDAS is a two-phase project. In the first phase, Kno.e.sis will demonstrate its healthcare related semantic technology in the cardiology domain, and in the second phase, Kno.e.sis will apply this technology to the musculoskeletal disease domain. Both these domains can have high impact on the health and well-being of US population and consequently on the US healthcare budget. Heart disease is the leading cause of death for both men and women in US. US reports 610, 000 deaths due to heart diseases annually and it is the cause for 25% of the deaths.<ref>http://www.cdc.gov/heartdisease/facts.htm</ref> Furthermore, it has been reported that each year 735,000 Americans have heart attack and 525, 000 of them were reported as first time attacks. Musculoskeletal disease is among the most disabling and costly condition suffered by the Americans. A worldwide study conducted in 2012 reported that 1.7 billion people in the world suffer from musculoskeletal diseases such as arthritis and back pain. It is recognized as the second greatest cause of disability, and has the 4th greatest impact on the overall health of the world population when considering both death and disability. In US, it is reported that more than 50% of adults suffer from musculoskeletal disease. This number escalates for people over the age of 65, where it has been reported that nearly 75% suffer from musculoskeletal disease in that population segment. This problem becomes even more significant with the aging population in US. By 2040, the population over 65 is projected to grow from 15% to 21%.<ref>http://www.boneandjointburden.org</ref>
+MIDAS is a two-phase project. In the first phase, Kno.e.sis will demonstrate its healthcare related semantic technology in the cardiology domain, and in the second phase, Kno.e.sis will apply this technology to the musculoskeletal disease domain. Both these domains can have high impact on the health and well-being of US population and consequently on the US healthcare budget. [http://www.cdc.gov/heartdisease/facts.htm Heart disease is the leading cause of death for both men and women in US]. US reports 610, 000 deaths due to heart diseases annually and it is the cause for 25% of the deaths.<ref>http://www.cdc.gov/heartdisease/facts.htm</ref> Furthermore, it has been reported that each year 735,000 Americans have heart attack and 525, 000 of them were reported as first time attacks. Musculoskeletal disease is among the most disabling and costly condition suffered by the Americans. A worldwide study conducted in 2012 reported that 1.7 billion people in the world suffer from musculoskeletal diseases such as arthritis and back pain. It is recognized as the second greatest cause of disability, and has the 4th greatest impact on the overall health of the world population when considering both death and disability. In US, it is reported that more than 50% of adults suffer from musculoskeletal disease. This number escalates for people over the age of 65, where it has been reported that nearly 75% suffer from musculoskeletal disease in that population segment. This problem becomes even more significant with the aging population in US. By 2040, the population over 65 is projected to grow from 15% to 21%.<ref>http://www.boneandjointburden.org</ref>
 Ultimately, the goal of the MIDAS project is to enhance the current capabilities of the Electronic Medical Record System used by the Department of Defense focusing on domains such as  these. The broader agenda includes enhancing the communication between the physicians and the patients who are currently limited to the regular visits, extracting and exploiting the knowledge buried in the medical records to identify more effective treatment plans, and empowering the patients by enabling them to monitor their health status.

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 =People=
 Principal Investigator (Kno.e.sis): [http://knoesis.wright.edu/tkprasad/ Krishnaprasad Thirunarayan (T. K. Prasad)] <br />
 Co-Investigator: [http://knoesis.wright.edu/amit Amit P. Sheth] <br />
 Graduate Student: [http://knoesis.org/researchers/sujan/ Sujan Perera] <br />
 =Overview=

@@ Line 1: / Line 1: @@
 '''MIDAS''' is a collaborative project between [http://knoesis.org Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis)] and [http://milcord.com/ Milcord LLC]. MIDAS is an effort to bring about the new era in building the Department of Defense Electronic Medical Record System under the Defense Healthcare Management System Modernization (DHMSM) effort.
 =People=
 Principal Investigator (Kno.e.sis): [http://knoesis.wright.edu/tkprasad/ Krishnaprasad Thirunarayan (T. K. Prasad)] <br />
 Co-Investigator: [http://knoesis.wright.edu/amit Amit P. Sheth] <br />
 Graduate Student: [http://knoesis.org/researchers/sujan/ Sujan Perera] <br />

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 =Related Work=
-#Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Suhas Nair, 'Data driven knowledge acquisition method for domain knowledge enrichment in the healthcare', IEEE International Conference Bioinformatics and Biomedicine 2012 (BIBM '12), pp.1-8, 4-7 Oct. 2012
+#Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Suhas Nair, [http://knoesis.org/library/resource.php?id=1782 Data driven knowledge acquisition method for domain knowledge enrichment in the healthcare], IEEE International Conference Bioinformatics and Biomedicine 2012 (BIBM '12), pp.1-8, 4-7 Oct. 2012
-#Sujan Perera, Amit Sheth, Krishnaprasad Thirunarayan, Suhas Nair and Neil Shah, 'Challenges in Understanding Clinical Notes: Why NLP Engines Fall Short and Where Background Knowledge Can Help', International Workshop on Data management & Analytics for healthcaRE (DARE) at ACM Conference of Information and Knowledge Management (CIKM), pp. 21-26, Burlingame, USA, Nov 1, 2013
+#Sujan Perera, Amit Sheth, Krishnaprasad Thirunarayan, Suhas Nair and Neil Shah, [http://knoesis.org/library/resource.php?id=1897 Challenges in Understanding Clinical Notes: Why NLP Engines Fall Short and Where Background Knowledge Can Help], International Workshop on Data management & Analytics for healthcaRE (DARE) at ACM Conference of Information and Knowledge Management (CIKM), pp. 21-26, Burlingame, USA, Nov 1, 2013
-#Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Suhas Nair,'Semantics Driven Approach for Knowledge Acquisition From EMRs', IEEE Journal of Biomedical and Health Informatics, vol.18, no.2, pp.515-524, March 2014, doi: 10.1109/JBHI.2013.2282125, PMID: 24058038
+#Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Suhas Nair,[http://knoesis.org/library/resource.php?id=1904 Semantics Driven Approach for Knowledge Acquisition From EMRs], IEEE Journal of Biomedical and Health Informatics, vol.18, no.2, pp.515-524, March 2014, doi: 10.1109/JBHI.2013.2282125, PMID: 24058038
-#Sujan Perera, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan, Adarsh Alex, Christopher Heid, Greg Mott, 'Implicit Entity Recognition in Clinical Documents', Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics (*SEM) 2015, pp. 228-238.
+#Sujan Perera, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan, Adarsh Alex, Christopher Heid, Greg Mott, [http://knoesis.org/library/resource.php?id=2149 Implicit Entity Recognition in Clinical Documents], Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics (*SEM) 2015, pp. 228-238.

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 Principal Investigator (Milcord LLC): Tim Clark <br />
 Principal Investigator (WSU): [http://knoesis.wright.edu/tkprasad/ Krishnaprasad Thirunarayan (T. K. Prasad)] <br />
-Co-Investigators: [http://knoesis.wright.edu/amit Amit P. Sheth] <br />
+Co-Investigator: [http://knoesis.wright.edu/amit Amit P. Sheth] <br />
-Graduate Students: [http://knoesis.org/researchers/sujan/ Sujan Perera] <br />
+Graduate Student: [http://knoesis.org/researchers/sujan/ Sujan Perera] <br />
 =Overview=

@@ Line 1: / Line 1: @@
-'''MIDAS''' is a collaborative project between Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) and Milcord cooperation. MIDAS is an effort to bring about the new era in building the Department of Defense Electronic Medical Record System under the Defense Healthcare Management System Modernization (DHMSM) effort.
+'''MIDAS''' is a collaborative project between Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) and Milcord LLC. MIDAS is an effort to bring about the new era in building the Department of Defense Electronic Medical Record System under the Defense Healthcare Management System Modernization (DHMSM) effort.
 =People=
 Principal Investigators: [http://knoesis.wright.edu/tkprasad/ Krishnaprasad Thirunarayan (T. K. Prasad)] <br />