Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision 		Previous revision
Next revision Both sides next revision
research [2018/06/13 09:58]
shyam [Precision medicine and patient-specific modeling] 		research [2019/07/21 10:48]
shyam
Line 7: Line 7:
   * Learning electronic medical record (EMR) system and computerized clinical decision support   * Learning electronic medical record (EMR) system and computerized clinical decision support
   * Precision medicine and personalized modeling   * Precision medicine and personalized modeling
-  * Data mining and causal discovery from biomedical data +  * Causal discovery from biomedical data 
-  * Reuse of EMR data and research data warehousing+  * EMR data warehousing
   * Automated visual analytics   * Automated visual analytics
  
Line 70: Line 70:
  
  
-==== Data mining and causal discovery from biomedical data ====+==== Causal discovery from biomedical data ====
  
 Development of efficient data mining for biomarker discovery from high-dimensional genomic variant data is important for precision medicine and focuses on the use of information obtained from sequences such as whole exomes and whole genomes. Our work focuses on single nucleotide variants (SNVs) data obtained from genome-wide and whole exome data. This work is in collaboration with [[http://www.dbmi.pitt.edu/person/gregory-cooper-md-phd|Gregory F. Cooper]] and [[https://www.dept-med.pitt.edu/gi/faculty_info.aspx/Whitcomb5013/|David C. Whitcomb]] (at the University of Pittsburgh).  Development of efficient data mining for biomarker discovery from high-dimensional genomic variant data is important for precision medicine and focuses on the use of information obtained from sequences such as whole exomes and whole genomes. Our work focuses on single nucleotide variants (SNVs) data obtained from genome-wide and whole exome data. This work is in collaboration with [[http://www.dbmi.pitt.edu/person/gregory-cooper-md-phd|Gregory F. Cooper]] and [[https://www.dept-med.pitt.edu/gi/faculty_info.aspx/Whitcomb5013/|David C. Whitcomb]] (at the University of Pittsburgh). 
Line 76: Line 76:
 Development and application of causal discovery machine learning methods to biomedical data including large-scale electronic medical record data is important for uncovering casual relations in these data. This work is in collaboration with [[http://www.dbmi.pitt.edu/person/gregory-cooper-md-phd|Gregory F. Cooper]] and [[http://www.mdphd.pitt.edu/students/eric-strobl|Eric Strobl]] and is funded by a [[https://projectreporter.nih.gov/project_info_description.cfm?aid=8935874|U54 grant from NHGRI]], NIH. Development and application of causal discovery machine learning methods to biomedical data including large-scale electronic medical record data is important for uncovering casual relations in these data. This work is in collaboration with [[http://www.dbmi.pitt.edu/person/gregory-cooper-md-phd|Gregory F. Cooper]] and [[http://www.mdphd.pitt.edu/students/eric-strobl|Eric Strobl]] and is funded by a [[https://projectreporter.nih.gov/project_info_description.cfm?aid=8935874|U54 grant from NHGRI]], NIH.
  
-Surging use of social media1 has resulted in unprecedented opportunities for examination of complex social and behavioral phenomena. We are developing  machine learning infoveillance tools to study cancer communication in Twitter data. This work is in collaboration with This work is in collaboration with [[https://www.dom.pitt.edu/dgim/faculty_info.aspx/Primack4945|Brian Primack]] and is funded by a [[https://projectreporter.nih.gov/project_info_details.cfm?aid=950346|R01 grant from NCI]], NIH.+Surging use of social media has resulted in unprecedented opportunities for examination of complex social and behavioral phenomena. We are developing  machine learning infoveillance tools to study cancer communication in Twitter data. This work is in collaboration with This work is in collaboration with [[https://www.dom.pitt.edu/dgim/faculty_info.aspx/Primack4945|Brian Primack]] and is funded by a [[https://projectreporter.nih.gov/project_info_details.cfm?aid=950346|R01 grant from NCI]], NIH.
  
 The areas of focus include: The areas of focus include:
Line 109: Line 109:
  
  
-==== Reuse of EMR data and research data warehousing ====+==== EMR data warehousing ====
  
 This work is funded by a [[https://projectreporter.nih.gov/project_info_description.cfm?aid=9260460|UL1 grant from NCATS]], NIH and a [[http://www.pcornet.org/clinical-data-research-networks/cdrn11-university-of-pittsburgh/|CDRN grant from PCORI]]. This work is funded by a [[https://projectreporter.nih.gov/project_info_description.cfm?aid=9260460|UL1 grant from NCATS]], NIH and a [[http://www.pcornet.org/clinical-data-research-networks/cdrn11-university-of-pittsburgh/|CDRN grant from PCORI]].