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PSYCHO-INFORMATICS
APPROACH IN PSYCHIATRIC
    CLASSIFICATIONS




                              Debdulal Dutta Roy, Ph.D.
                              Psychology Research Unit
              INDIAN STATISTICAL INSTITUTE, KOLKATA
      National Workshop on “ Psycho-informatics : Model
            for Measuring Randomized Psychological and
                                      Educational Data”
                                   11-12th March, 2013
                                         th
                          Web: www.isical.ac.in/~ddroy
China,   Japan and Latin American countries have
own Psychiatric diagnostic classification systems.
Does India need own ?
Do the Indian Psychiatrists find difficulty to make
distinct classifications ?
What complaints are used by Indian Psychiatrists
for classifications of psychiatric disorders ?




BACKGROUND
Previous  psychiatric case history
records of the department of
psychiatry of one post graduate
hospital. Here data are random,
non-hypothesized and least
structured.


DATA WAREHOUSE
Individual   case wise all
complaints and diagnostic
classifications are retrieved.
There were 20 complaints and
18 classifications



DATA RETRIEVING
All the complaints were coded
with 1,0 and Burt table was
constructed.
Burt table data were used in
Correspondence analysis.



DATA MINING
Correspondence     analysis provides
correspondence map
Correspondence map reveals
extent of similarities and
dissimilarities among the complaints,
diagnostic classifications and
between the two.


PATTERN RECOGNITION :
C o r r e s p o n d e n c e m a p o f p s y c h i a t r i c c la s s i f i c a t i o n a n d c o m p la i n t s
                                                                                                       In p u t T a b le ( R o w s x C o lu m n s ) : 5 4 x 5 4 ( B u r t T a b le )
Dimension 2; Eigenvalue: .11454 (11.45% of Inertia)


                                                       1 .5
                                                                                                                                                   P S Y D E P C L :1
                                                                                                                                     E M W D L C M P :1                                                        B L U A F C M EP U: 1D E P C L : 1
                                                                                                                                                                                                                           N
                                                       1 .0
                                                                                                                                                                                                              D E P M D C G UP I:L1 T C M P : 1
                                                                                                                                                                                                                          M
                                                                                                                                            A N X C TM E PN : S C M P : 0
                                                                                                                                                              0
                                                       0 .5         C O N D O C M P :1
                                                                              S CH HA I Z C UL S S:M1U PS : P I C M P : 1
                                                                                        LL C                1
                                                                                        U N T H C C EM XPC : I1T C M P : 1                                 AOMN A DC AC SMS:I 0N 0 D0 L : P
                                                                                                                                                                    X L
                                                                                                                                                           C SOP CDNT DEO C L LPS: S 0 T:
                                                                                                                                                      S OHPMYC TANMRGVCBCRLCNACLSHS:CLSOC:0:0SC0SM C 0SM : O0P M: 0 A T C O M : 1
                                                                                                                                                                 H O H C L :0 :
                                                                                          H O S T C M P :1                                                   P E S MY W CED OPL N D :OP C:E0MXS UPCN:AT0TLI HMSC PUC SSM :P0P I :C00 M P : 0
                                                                                                                                                                        D              C L
                                                                                                                                                                                       CM 0                  C I H C Z C LC : M P :
                                                                                                                                                                                                             H        LU 0
                                                       0 .0                                                           S O M A T C O M :0
                                                                                                                                        G U IL T C M P : 0
                                                                                                                                       N E PU DD DE CP L CS L: :1 0                                                        S O M A T C L S :1
                                                                                                                         D E P M D C B LP U : 0 F C M P : 0
                                                                                                                                     M        A
                                                      - 0 .5                                           G R A N D C M P :1                                                                                                 A N XC M P :1
                                                                                                               M A N IC C L S : 1                                       S T R E C L S :1                                T E N S C M H PY : 1 H O C L S : 1
                                                                                                                                                                                                                                           C
                                                                                                                                                                                                                               C O N V C L S :1
                                                      - 1 .0                                                                                                                     M A N C M P :1
                                                                                                                                                                                                                P H A O N BX CC LL SS :S: 11: 1
                                                                                                                                                                                                                      O C DCL
                                                      - 1 .5

                                                      - 2 .0
                                                            -2 .0                  - 1 .5                      -1 .0                           -0 .5                            0 .0                            0 .5                              1 .0       1 .5
                                                                                                      D i m e n s i o n 1 ; E i g e n v a lu e : . 2 2 7 7 2 ( 2 2 . 7 7 % o f In e r t i a )




           CORRESPONDENCE MAP
Psychiatrists  find difficulty to
 classify some symptoms distinctly.
This suggests need for creating
 Indian system of psychiatric
 classifications.
Psychiatric classifications should
 cover symptom dynamics and the
 etiology.



DISCOVERY OF KNOWLEDGE
Dr. Uday Sankar Mandal of IPGMR. I was
 co-guide of his MD dissertation titled
 “Mapping of Psychiatric Symptoms
 Across Different Demographic
 Groups: An Epidemiological problem”
 in 2008-2011.




Acknowledgment
Thank you

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Psychiatric classificationshow

  • 1. PSYCHO-INFORMATICS APPROACH IN PSYCHIATRIC CLASSIFICATIONS Debdulal Dutta Roy, Ph.D. Psychology Research Unit INDIAN STATISTICAL INSTITUTE, KOLKATA National Workshop on “ Psycho-informatics : Model for Measuring Randomized Psychological and Educational Data” 11-12th March, 2013 th Web: www.isical.ac.in/~ddroy
  • 2. China, Japan and Latin American countries have own Psychiatric diagnostic classification systems. Does India need own ? Do the Indian Psychiatrists find difficulty to make distinct classifications ? What complaints are used by Indian Psychiatrists for classifications of psychiatric disorders ? BACKGROUND
  • 3. Previous psychiatric case history records of the department of psychiatry of one post graduate hospital. Here data are random, non-hypothesized and least structured. DATA WAREHOUSE
  • 4. Individual case wise all complaints and diagnostic classifications are retrieved. There were 20 complaints and 18 classifications DATA RETRIEVING
  • 5. All the complaints were coded with 1,0 and Burt table was constructed. Burt table data were used in Correspondence analysis. DATA MINING
  • 6. Correspondence analysis provides correspondence map Correspondence map reveals extent of similarities and dissimilarities among the complaints, diagnostic classifications and between the two. PATTERN RECOGNITION :
  • 7. C o r r e s p o n d e n c e m a p o f p s y c h i a t r i c c la s s i f i c a t i o n a n d c o m p la i n t s In p u t T a b le ( R o w s x C o lu m n s ) : 5 4 x 5 4 ( B u r t T a b le ) Dimension 2; Eigenvalue: .11454 (11.45% of Inertia) 1 .5 P S Y D E P C L :1 E M W D L C M P :1 B L U A F C M EP U: 1D E P C L : 1 N 1 .0 D E P M D C G UP I:L1 T C M P : 1 M A N X C TM E PN : S C M P : 0 0 0 .5 C O N D O C M P :1 S CH HA I Z C UL S S:M1U PS : P I C M P : 1 LL C 1 U N T H C C EM XPC : I1T C M P : 1 AOMN A DC AC SMS:I 0N 0 D0 L : P X L C SOP CDNT DEO C L LPS: S 0 T: S OHPMYC TANMRGVCBCRLCNACLSHS:CLSOC:0:0SC0SM C 0SM : O0P M: 0 A T C O M : 1 H O H C L :0 : H O S T C M P :1 P E S MY W CED OPL N D :OP C:E0MXS UPCN:AT0TLI HMSC PUC SSM :P0P I :C00 M P : 0 D C L CM 0 C I H C Z C LC : M P : H LU 0 0 .0 S O M A T C O M :0 G U IL T C M P : 0 N E PU DD DE CP L CS L: :1 0 S O M A T C L S :1 D E P M D C B LP U : 0 F C M P : 0 M A - 0 .5 G R A N D C M P :1 A N XC M P :1 M A N IC C L S : 1 S T R E C L S :1 T E N S C M H PY : 1 H O C L S : 1 C C O N V C L S :1 - 1 .0 M A N C M P :1 P H A O N BX CC LL SS :S: 11: 1 O C DCL - 1 .5 - 2 .0 -2 .0 - 1 .5 -1 .0 -0 .5 0 .0 0 .5 1 .0 1 .5 D i m e n s i o n 1 ; E i g e n v a lu e : . 2 2 7 7 2 ( 2 2 . 7 7 % o f In e r t i a ) CORRESPONDENCE MAP
  • 8. Psychiatrists find difficulty to classify some symptoms distinctly. This suggests need for creating Indian system of psychiatric classifications. Psychiatric classifications should cover symptom dynamics and the etiology. DISCOVERY OF KNOWLEDGE
  • 9. Dr. Uday Sankar Mandal of IPGMR. I was co-guide of his MD dissertation titled “Mapping of Psychiatric Symptoms Across Different Demographic Groups: An Epidemiological problem” in 2008-2011. Acknowledgment