scholarly journals Using a multidisciplinary data approach to operationalize an experience framework

2021 ◽  
Vol 8 (3) ◽  
pp. 162-171
Author(s):  
Kevin Spera ◽  
Garrett Holmes ◽  
Sunni Barnes
2021 ◽  
Author(s):  
S Kohlbeck ◽  
T deRoon-Cassini ◽  
M Levas ◽  
S Hargarten ◽  
C Kostelac ◽  
...  

2010 ◽  
Vol 41 ◽  
pp. 47-63 ◽  
Author(s):  
S. Joost ◽  
L. Colli ◽  
P. V. Baret ◽  
J. F. Garcia ◽  
P. J. Boettcher ◽  
...  

2018 ◽  
Vol 25 (4) ◽  
pp. 500-509 ◽  
Author(s):  
Liesbet M Peeters ◽  
Caspar EP van Munster ◽  
Bart Van Wijmeersch ◽  
Robin Bruyndonckx ◽  
Ilse Lamers ◽  
...  

Personalized treatment is highly desirable in multiple sclerosis (MS). We believe that multidisciplinary measurements including clinical, functional and patient-reported outcome measures in combination with extensive patient profiling can enhance personalized treatment and rehabilitation strategies. We elaborate on four reasons behind this statement: (1) MS disease activity and progression are complex and multidimensional concepts in nature and thereby defy a one-size-fits-all description, (2) functioning, progression, treatment, and rehabilitation effects are interdependent and should be investigated together, (3) personalized healthcare is based on the dynamics of system biology and on technology that confirms a patient’s fundamental biology and (4) inclusion of patient-reported outcome measures can facilitate patient-relevant healthcare. We discuss currently available multidisciplinary MS data initiatives and introduce joint actions to further increase the overall success. With this topical review, we hope to drive the MS community to invest in expanding towards more multidisciplinary and longitudinal data collection.


1991 ◽  
Vol 101 (12) ◽  
pp. 1313-1317 ◽  
Author(s):  
Gerard F. Domanowski ◽  
Charles W. Vaughan ◽  
Steven M. Zeitels ◽  
Miriam E. Vincent ◽  
Chandler Malhotra

2020 ◽  
Vol 10 (3) ◽  
pp. 1078 ◽  
Author(s):  
Elisavet Tsilimantou ◽  
Ekaterini T. Delegou ◽  
Ioannis A. Nikitakos ◽  
Charalabos Ioannidis ◽  
Antonia Moropoulou

Multidisciplinary data integration within an information system is considered a key point for rehabilitation projects. Information regarding the state of preservation and/or decision making, for sustainable restoration is prerequisite. In addition, achieving structural integrity of a historic building, especially one that has undergone many construction phases and restoration interventions, is a very elaborate task and should, therefore, involve the study of multidisciplinary information regarding historical, architectural, building material and geometric data. In this paper the elaboration of such data within 2D and 3D information systems is described. Through the process described herein, a methodology, including the acquisition, classification and management of various multisensory data, is displayed and applied within a geographic information system (GIS). Moreover, the multidisciplinary documentation process, aggregated with the surveying products, generates 3D heritage building information modeling (HBIM), including information regarding construction phases, pathology and current state of preservation of a building. The assessment of the applied methodology is performed concluding in a qualitative and a quantitative manner, in both 2D and 3D environments, providing information to facilitate the structural assessment of a historic building. Thus, in this work, the described methodology is presented, combining the multidisciplinary data with the development of GIS thematic maps and an HBIM. Representative results of the suggested methodology applied on the historic building of Villa Klonaridi, Athens, Greece are displayed.


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