The Experts below are selected from a list of 14091 Experts worldwide ranked by ideXlab platform

George Hripcsak - One of the best experts on this subject based on the ideXlab platform.

  • using time delayed mutual information to discover and interpret temporal correlation structure in complex populations
    Chaos, 2012
    Co-Authors: David J Albers, George Hripcsak
    Abstract:

    This paper addresses how to calculate and interpret the time-delayed mutual information (TDMI) for a complex, diversely and sparsely measured, possibly non-stationary population of time-series of unknown composition and origin. The primary vehicle used for this analysis is a comparison between the time-delayed mutual information averaged over the population and the time-delayed mutual information of an aggregated population (here, aggregation implies the population is conjoined before any statistical estimates are implemented). Through the use of information theoretic tools, a sequence of practically implementable calculations are detailed that allow for the average and aggregate time-delayed mutual information to be interpreted. Moreover, these calculations can also be used to understand the degree of homo or heterogeneity present in the population. To demonstrate that the proposed methods can be used in nearly any situation, the methods are applied and demonstrated on the time series of glucose measurements from two different subpopulations of individuals from the Columbia University Medical Center electronic health Record Repository, revealing a picture of the composition of the population as well as physiological features.

  • using time delayed mutual information to discover and interpret temporal correlation structure in complex populations
    arXiv: Chaotic Dynamics, 2011
    Co-Authors: David J Albers, George Hripcsak
    Abstract:

    This paper addresses how to calculate and interpret the time-delayed mutual information for a complex, diversely and sparsely measured, possibly non-stationary population of time-series of unknown composition and origin. The primary vehicle used for this analysis is a comparison between the time-delayed mutual information averaged over the population and the time-delayed mutual information of an aggregated population (here aggregation implies the population is conjoined before any statistical estimates are implemented). Through the use of information theoretic tools, a sequence of practically implementable calculations are detailed that allow for the average and aggregate time-delayed mutual information to be interpreted. Moreover, these calculations can be also be used to understand the degree of homo- or heterogeneity present in the population. To demonstrate that the proposed methods can be used in nearly any situation, the methods are applied and demonstrated on the time series of glucose measurements from two different subpopulations of individuals from the Columbia University Medical Center electronic health Record Repository, revealing a picture of the composition of the population as well as physiological features.

David J Albers - One of the best experts on this subject based on the ideXlab platform.

  • using time delayed mutual information to discover and interpret temporal correlation structure in complex populations
    Chaos, 2012
    Co-Authors: David J Albers, George Hripcsak
    Abstract:

    This paper addresses how to calculate and interpret the time-delayed mutual information (TDMI) for a complex, diversely and sparsely measured, possibly non-stationary population of time-series of unknown composition and origin. The primary vehicle used for this analysis is a comparison between the time-delayed mutual information averaged over the population and the time-delayed mutual information of an aggregated population (here, aggregation implies the population is conjoined before any statistical estimates are implemented). Through the use of information theoretic tools, a sequence of practically implementable calculations are detailed that allow for the average and aggregate time-delayed mutual information to be interpreted. Moreover, these calculations can also be used to understand the degree of homo or heterogeneity present in the population. To demonstrate that the proposed methods can be used in nearly any situation, the methods are applied and demonstrated on the time series of glucose measurements from two different subpopulations of individuals from the Columbia University Medical Center electronic health Record Repository, revealing a picture of the composition of the population as well as physiological features.

  • using time delayed mutual information to discover and interpret temporal correlation structure in complex populations
    arXiv: Chaotic Dynamics, 2011
    Co-Authors: David J Albers, George Hripcsak
    Abstract:

    This paper addresses how to calculate and interpret the time-delayed mutual information for a complex, diversely and sparsely measured, possibly non-stationary population of time-series of unknown composition and origin. The primary vehicle used for this analysis is a comparison between the time-delayed mutual information averaged over the population and the time-delayed mutual information of an aggregated population (here aggregation implies the population is conjoined before any statistical estimates are implemented). Through the use of information theoretic tools, a sequence of practically implementable calculations are detailed that allow for the average and aggregate time-delayed mutual information to be interpreted. Moreover, these calculations can be also be used to understand the degree of homo- or heterogeneity present in the population. To demonstrate that the proposed methods can be used in nearly any situation, the methods are applied and demonstrated on the time series of glucose measurements from two different subpopulations of individuals from the Columbia University Medical Center electronic health Record Repository, revealing a picture of the composition of the population as well as physiological features.

Ramin Khorasani - One of the best experts on this subject based on the ideXlab platform.

  • Factors associated with external ventricular drain placement accuracy: data from an electronic health Record Repository.
    Acta neurochirurgica, 2013
    Co-Authors: Vaibhav Patil, Ronilda Lacson, Kirby G. Vosburgh, Judith M. Wong, Luciano M. Prevedello, Katherine P. Andriole, Srinivasan Mukundan, A. John Popp, Ramin Khorasani
    Abstract:

    Background We evaluated external ventricular drain placement for factors associated with placement accuracy. Data were acquired using an electronic health Record data requisition tool.

  • factors associated with external ventricular drain placement accuracy data from an electronic health Record Repository
    Acta Neurochirurgica, 2013
    Co-Authors: Vaibhav Patil, Ronilda Lacson, Kirby G. Vosburgh, Judith M. Wong, Luciano M. Prevedello, Katherine P. Andriole, Srinivasan Mukundan, John A Popp, Ramin Khorasani
    Abstract:

    We evaluated external ventricular drain placement for factors associated with placement accuracy. Data were acquired using an electronic health Record data requisition tool. Medical Records of all patients who underwent ventriculostomy from 2003 to 2010 were identified and evaluated. Patient demographics, diagnosis, type of guidance and number of catheter passes were searched for and Recorded. Post-procedural hemorrhage and/or infection were identified. A grading scale was used to classify accuracy of catheter placements. A multiple logistic regression model was developed to assess features associated with accurate catheter placement. One hundred nine patients who underwent 111 ventriculostomies from 2003 to 2010 were identified. Patient diagnoses were classified into vascular (63 %), tumor (21 %), trauma (14 %), and cyst (2 %). Procedures were performed freehand in 90 (81 %), with the Ghajar guide in 17 (15 %), and with image guidance in 4 (4 %) patients. Eighty-eight (79 %) catheters were placed in the correct location. Trauma patients were more likely to have catheters misplaced (p = 0.007) whereas patients in other diagnostic categories were not significantly associated with misplaced catheters. Post-procedural hemorrhage was noted in 2 (1.8 %) patients on post-procedural imaging studies. Five (4.5 %) definite and 6 (5.4 %) suspected infections were identified. External ventricular drain placement can be performed accurately in most patients. Patients with trauma are more likely to have catheters misplaced. Further development is required to identify and evaluate procedure outcomes using an electronic health Record Repository.

Vaibhav Patil - One of the best experts on this subject based on the ideXlab platform.

  • Factors associated with external ventricular drain placement accuracy: data from an electronic health Record Repository.
    Acta neurochirurgica, 2013
    Co-Authors: Vaibhav Patil, Ronilda Lacson, Kirby G. Vosburgh, Judith M. Wong, Luciano M. Prevedello, Katherine P. Andriole, Srinivasan Mukundan, A. John Popp, Ramin Khorasani
    Abstract:

    Background We evaluated external ventricular drain placement for factors associated with placement accuracy. Data were acquired using an electronic health Record data requisition tool.

  • factors associated with external ventricular drain placement accuracy data from an electronic health Record Repository
    Acta Neurochirurgica, 2013
    Co-Authors: Vaibhav Patil, Ronilda Lacson, Kirby G. Vosburgh, Judith M. Wong, Luciano M. Prevedello, Katherine P. Andriole, Srinivasan Mukundan, John A Popp, Ramin Khorasani
    Abstract:

    We evaluated external ventricular drain placement for factors associated with placement accuracy. Data were acquired using an electronic health Record data requisition tool. Medical Records of all patients who underwent ventriculostomy from 2003 to 2010 were identified and evaluated. Patient demographics, diagnosis, type of guidance and number of catheter passes were searched for and Recorded. Post-procedural hemorrhage and/or infection were identified. A grading scale was used to classify accuracy of catheter placements. A multiple logistic regression model was developed to assess features associated with accurate catheter placement. One hundred nine patients who underwent 111 ventriculostomies from 2003 to 2010 were identified. Patient diagnoses were classified into vascular (63 %), tumor (21 %), trauma (14 %), and cyst (2 %). Procedures were performed freehand in 90 (81 %), with the Ghajar guide in 17 (15 %), and with image guidance in 4 (4 %) patients. Eighty-eight (79 %) catheters were placed in the correct location. Trauma patients were more likely to have catheters misplaced (p = 0.007) whereas patients in other diagnostic categories were not significantly associated with misplaced catheters. Post-procedural hemorrhage was noted in 2 (1.8 %) patients on post-procedural imaging studies. Five (4.5 %) definite and 6 (5.4 %) suspected infections were identified. External ventricular drain placement can be performed accurately in most patients. Patients with trauma are more likely to have catheters misplaced. Further development is required to identify and evaluate procedure outcomes using an electronic health Record Repository.

Kirby G. Vosburgh - One of the best experts on this subject based on the ideXlab platform.

  • Factors associated with external ventricular drain placement accuracy: data from an electronic health Record Repository.
    Acta neurochirurgica, 2013
    Co-Authors: Vaibhav Patil, Ronilda Lacson, Kirby G. Vosburgh, Judith M. Wong, Luciano M. Prevedello, Katherine P. Andriole, Srinivasan Mukundan, A. John Popp, Ramin Khorasani
    Abstract:

    Background We evaluated external ventricular drain placement for factors associated with placement accuracy. Data were acquired using an electronic health Record data requisition tool.

  • factors associated with external ventricular drain placement accuracy data from an electronic health Record Repository
    Acta Neurochirurgica, 2013
    Co-Authors: Vaibhav Patil, Ronilda Lacson, Kirby G. Vosburgh, Judith M. Wong, Luciano M. Prevedello, Katherine P. Andriole, Srinivasan Mukundan, John A Popp, Ramin Khorasani
    Abstract:

    We evaluated external ventricular drain placement for factors associated with placement accuracy. Data were acquired using an electronic health Record data requisition tool. Medical Records of all patients who underwent ventriculostomy from 2003 to 2010 were identified and evaluated. Patient demographics, diagnosis, type of guidance and number of catheter passes were searched for and Recorded. Post-procedural hemorrhage and/or infection were identified. A grading scale was used to classify accuracy of catheter placements. A multiple logistic regression model was developed to assess features associated with accurate catheter placement. One hundred nine patients who underwent 111 ventriculostomies from 2003 to 2010 were identified. Patient diagnoses were classified into vascular (63 %), tumor (21 %), trauma (14 %), and cyst (2 %). Procedures were performed freehand in 90 (81 %), with the Ghajar guide in 17 (15 %), and with image guidance in 4 (4 %) patients. Eighty-eight (79 %) catheters were placed in the correct location. Trauma patients were more likely to have catheters misplaced (p = 0.007) whereas patients in other diagnostic categories were not significantly associated with misplaced catheters. Post-procedural hemorrhage was noted in 2 (1.8 %) patients on post-procedural imaging studies. Five (4.5 %) definite and 6 (5.4 %) suspected infections were identified. External ventricular drain placement can be performed accurately in most patients. Patients with trauma are more likely to have catheters misplaced. Further development is required to identify and evaluate procedure outcomes using an electronic health Record Repository.