bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0410626 |
utime |
20240103182227.4 |
mtime |
20060210235959.9 |
title
(primary) (eng) |
Mixture analysis of nuclear medicine data: Medical decision support |
publisher |
place |
Maynooth |
name |
NUI Maynooth |
pub_time |
2001 |
|
specification |
|
serial |
title
|
Irish Signals and Systems Conference 2001. Proceedings |
page_num |
393-398 |
editor |
|
editor |
|
editor |
|
|
keyword |
probabilistic modelling |
keyword |
Bayesian estimation |
keyword |
administered activity |
author
(primary) |
ARLID |
cav_un_auth*0101119 |
name1 |
Jirsa |
name2 |
Ladislav |
institution |
UTIA-B |
full_dept |
Department of Adaptive Systems |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0021112 |
name1 |
Quinn |
name2 |
A. |
country |
IE |
|
COSATI |
06Y |
cas_special |
project |
project_id |
1999/12058 |
agency |
IST |
country |
XE |
|
research |
AV0Z1075907 |
abstract
(eng) |
A model of a weighted mixture of regression models is applied to nuclear medicine data collected in treatment of thyroid carcinoma using 131I. Parameters of the mixture are estimated by means of the Bayesian methodology. The relationship between (i) the marker of the therapy success, and (ii) the activity of 131I to be supplied to a patient, a decision on which is made by the physician, is discovered. This decision is supoported by proposing the estimate of the patient-specific 131I activity to be supplied. |
action |
ARLID |
cav_un_auth*0212805 |
name |
Irish Signals and Systems Conference 2001 |
place |
Maynooth |
country |
IE |
dates |
25.06.2001-28.06.2001 |
|
RIV |
BB |
department |
AS |
permalink |
http://hdl.handle.net/11104/0130715 |
ID_orig |
UTIA-B 20010095 |
arlyear |
2001 |
mrcbU10 |
2001 |
mrcbU10 |
Maynooth NUI Maynooth |
mrcbU63 |
Irish Signals and Systems Conference 2001. Proceedings 393 398 |
mrcbU67 |
Shorten R. 340 |
mrcbU67 |
Ward T. 340 |
mrcbU67 |
Lysaght T. 340 |
|