000			01841nam a2200241 4500
999			_c49784 _d49784
003			OSt
005			20180513133825.0
008			180513b ||||| |||| 00| 0 eng d
100			_aJha, R.K., _931597
245			_aA visual approach to enhance coordination among diagnostic units using self-organizing map
300			_a27-42 p.
520			_aThe paper presents a modified visual clustering method for patients visiting diagnostic units (DUs) using self-organizing map approach. The clustering of patients in homogenous groups helps healthcare managers in efficient scheduling of patients in each homogenous group such that their waiting time can be minimized. The grouping of patients would also help in enhancing coordination among diagnostic units (DUs). Modified Kohonen’s self-organizing map (SOM) was used to solve the visual clustering problem. Two distinct cases for patients visiting diagnostic units of clustering problems were solved in this paper. In the first case, patients are allowed to visit DU’s in any order of sequence. In the second case, patients are allowed to visit DUs based on a predefined sequence. Numerical experiments were conducted using randomly generated data sets. Finally, performance of modified visual SOM approach was measured using grouping efficiency for the first case and group technology efficiency for the second case.
653			_aSelf-organizing map
653			_aVisual clustering
653			_aPatient-diagnostic cluster unit
653			_aGrouping efficiency
653			_aGroup technology efficiency
700			_aSahay, B.S., _931598
700			_aChattopadhyay, Majeet _931599
710			_aGajpal Yuvraj _931600
773	0		_029297 _970506 _aCHAKRABARTI, BHASKAR _dINDIAN INSTITUTE OF MANAGEMENT CALCUTTA CALCUTTA _o5558731 _tDECISION _x0304-0941
942			_2ddc _cJA-ARTICLE