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A Multicriteria Model Applied in the Diagnosis of Alzheimer's Disease

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Title: A Multicriteria Model Applied in the Diagnosis of Alzheimer's Disease


1
A Multicriteria Model Applied in the Diagnosisof
Alzheimer's Disease
  • Ana Karoline A. de Castro
  • akcastro_at_gmail.com
  • Plácido Rogério Pinheiro
  • Mirian Caliope Dantas Pinheiro
  • placido, caliope_at_unifor.br
  • University of Fortaleza Ceara - Brazil

2
Introduction
  • Many studies show that there has been a
    progressive increase of the elderly population in
    the last years.
  • The main consequence of this fact, is the
    increase in life, expectancy and the increase of
    the prevalence of dementias.
  • Alzheimers disease is the most frequent cause of
    dementia.
  • Porto, C.S., Fichman, H.C., Caramelli, P.,
    Bahia, V. S., Nitrini, R. Brazilian Version of
    the Mattis Dementia Rating Scale Diagnosis of
    Mild Dementia in Alzheimer.s Disease, Arq
    Neuropsiquiatr 61(2-B) (2003) 339345.

3
Introduction
  • Systems of classification with specific inclusion
    and exclusion criteria allow for the clinically
    probable definition and diagnosis of Alzheimers
    disease.
  • The main focus of this work is to develop a
    multicriteria model for aiding in decision making
    for the diagnosis of Alzheimer's disease.

4
Diagnosis of Alzheimer's Disease
  • Diagnosis of Alzheimer's disease is carried out
    in several steps. Initially, syndromic diagnosis
    is defined, which informs whether the patient
    presents the diagnostic criteria for dementia.
  • After Dementia is confirmed, etiological
    diagnosis follows, which informs which disease is
    causing the dementia. In this case, we are
    looking for Alzheimer's disease.
  • World Health Organization at http//www.who.int/c
    lassifications/icd/en/
  • Hughes, C.P., Berg, L., Danzinger, W.L., Coben,
    L.A., Martin, R.L. A New Clinical Scale for the
    Staging of Dementia, British Journal of
    Psychiatry 140 (1982) 566572.
  • Mckhann, G.D., Drachman, D., Folstein, M.,
    Katzman, R., Price, D., Stadlan, E.M. Clinical
    Diagnosis of Alzheimers Disease Report of the
    NINCDS-ADRDA Work Group under the Auspices of the
    Department of Health and Human Services Task
    Force on Alzheimers Disease, Neurology 34 (1984)
    939944.

5
Definition of Problem
  • In studies developed by (Castro,2007a) and
    (Castro,2007b) the application of the
    multicriteria model for aiding in diagnosis of
    Alzheimer's disease was presented.
  • Two MCDA tools were used to aid in solving the
    problem
  • Hiview (www.catalyze.co.uk )
  • M-MACBETH (www.m-macbeth.com)
  • CASTRO, A. K. A. PINHEIRO, P. R. PINHEIRO, M.
    C. D. Applying a Decision Making Model in the
    Early Diagnosis of Alzheimers Disease. In Joint
    Rough Sets Symposium (JRS07), 2007. Proceedings
    of Joint Rough Sets Symposium. Berlin Springer
    Verlag, 2007a.
  • CASTRO, A. K. A., PINHEIRO, P. R., PINHEIRO, M.
    C. D. A. Multicriteria Model Applied in the
    Early Diagnosis of Alzheimer's Disease A
    Bayesian Approach. In International Conference
    on Operational Research for Development
    (ICORDVI), Brazil, 2007b.

6
Definition of Problem
  • In the present study, we sought to develop a
    multicriteria model that helps in the decision
    making related to the diagnosis of Alzheimer's
    disease.
  • This model consists of several steps that will be
    described below.
  • Initially were defined the problem value tree
    corresponding to the Fundamental point of view
    (FPV) that are used in evaluation of the
    diagnosis.

7
Definition of Problem - Describers
  • An FPV is operational in the moment that has a
    set of levels of associated impacts (describers).
    These impacts are defined for Nj, that can be
    ordered in decreasing form according to the
    describers (Bana, 2003).
  • For the evaluation of each FPV, the possible
    states were defined. Each FPV has a different
    quantity of states. These states were defined
    according to the exams or questions involved for
    each describer.
  • Its important remember that the describers has a
    structure of complete pre-order, otherwise, a
    superior level is always preferable a least level.
  • Bana Costa, C.A., Corte, J.M.D., Vansnick,
    J.C. Macbeth, LSE-OR Working Paper, (2003).

8
Definition of Problem - Analysis of Impacts
  • In this step, the analysis of impacts is carried
    out, according to each FPV (i) the lowest and
    highest values of the impacts and (ii) the
    relevant aspects of the distribution of the
    impacts in each one.
  • In this work, for each describer, the same values
    were considered to get the value function for
    each FPV. Therefore, scores higher than 60,
    obtained through the judgments matrixes were
    considered risk describers during the evaluation
    of diagnosis.

9
Definition of Problem - Evaluation
  • After the definition of the FPVs family and the
    construction of the describers, the next step is
    the construction of the cardinal value scales for
    each FPV.
  • After evaluating the alternatives of all the FPVs
    individually, an evaluation of the FPVs in one
    matrix only was carried out.

10
Definition of Problem - Results
  • In this step we show the final result of the
    model, the contribution of the criterion for the
    diagnosis of Alzheimer's disease.
  • We can see the describer values for each
    criteria. With these values we can conclude that
    the questions that are part of these describers
    should be preferentially applied during the
    definition of diagnosis of Alzheimer's disease.

11
Definition of Problem - Evaluation Results
  • In this step the value analyses of the
    sensitivity and the dominance of potential
    actions in the process of evaluation to discover
    which questions are most relevant for diagnosis
    of Alzheimer's disease by using data sets. HIVIEW
    software (Keysalis, 1995) was used to carry out
    these analyses.
  • Keysalis. Hiview for Windows. London Krysalis,
    (1995).

12
Application of the Multicriteria Model
  • For the application of the model two scenarios
  • 1) The battery of standardized assessments
    developed by The Consortium to Establish a
    Registry for Alzheimer's disease (CERAD)
  • 2) The questionnaire with 120 questions that was
    used in a study realized in the city of Sao Jose
    dos Campos, SP, Brazil were used.

13
Scenario 1
  • The original mandate of the Consortium to
    Establish a Registry for Alzheimer's Disease
    (CERAD) in 1986 was to develop a battery of
    standardized assessments for the evaluation of
    cases with Alzheimer's disease who were enrolled
    in NIA-sponsored Alzheimer's Disease Centers
    (ADCs) or in other dementia research programs
    (Morris, 1989).
  • CERAD was designed to create uniformity in
    enrollment criteria and methods of assessment in
    clinical studies of Alzheimer's Disease and to
    pool information collected from sites joining the
    Consortium.
  • Morris JC, Heyman A, Mohs RC, et al. The
    Consortium to Establish a Registry for
    Alzheimer's Disease (CERAD) Part 1. Clinical and
    Neuropsychological Assessment of Alzheimer's
    Disease. Neurology,39(1989) 1159-1165.

14
Scenario 1 - Problem value tree
15
Scenario 1- Describers
  • Each FPV has a different quantity of states. The
    FPV1 has 3 states. The FPV2 has 5 states. The
    FPV3 has 3 states. The FPV4 has 3 states. The
    FPV5 has 3 states. The FPV6 has 3 states. The
    FPV7 has 13 states.

16
Scenario 1- Evaluation
  • Next, the evaluation of the FPVs was made through
    the construction of the judgment matrixes.

17
Scenario 1- Evaluation
  • In the last step of the application of the model
    we made the global evaluation of the actions when
    they are confronted with the seven FPVs.

18
Scenario 1- Evaluation
  • It was found that FPV1 to FPV7 have a total
    participation of 19,8, 13,9, 17,8, 10,9,
    1,0, 17,8 and 18,8.
  • The action N03 proved to be potentially better
    with 85 points and the action N01 proved to be
    potentially least.

19
Scenario 2
  • We used information obtained from the study
    realized in 2005 with 235 elderly people in the
    city of Sao Jose dos Campos, SP, Brazil.
  • In this study a questionnaire with 120 questions
    that supplied demographic-social data, analyzed
    the subjective perception of the elderly, their
    mental and physical health (cognitive and
    emotional aspects), day-to-day independence, in
    addition to family and social support and the use
    of services (Belderrain, 2006).
  • Belderrain, M. C. N., Silva, A. C. S., Vianna,
    P. V. C. Functional capacity of the elderly in
    city of Sao Jose dos Campos - Sao Paulo - Brazil.
    In 21st European Conference on Operational
    Research - EURO XXI, Iceland. EURO XXI
    Proceedings, (2006).

20
Scenario 2 - Problem value tree
21
Scenario 2- Describers
  • The FPV1 has 4 states. The FPV2 has 6 states. The
    FPV3 has 7 states. The FPV4 has 8 states. The
    FPV5 has 6 states. The FPV6 has 4 states.

22
Scenario 2- Evaluation
  • Next, the evaluation of the FPVs was made through
    the construction of the judgment matrixes.

23
Scenario 2- Evaluation
  • In the last step of the application of the model
    we made the global evaluation of the actions when
    they are confronted with the six FPVs.

24
Scenario 2- Evaluation
  • It was found that FPV1 to FPV6 have a total
    participation of 14,3, 22,9, 14,3, 14,3,
    20,0 and 14,3.
  • Thus, action N04 proved to be potentially better
    with 99 points and the action N01 proved to be
    potentially least.

25
Comparation of the Results
  • In scenario 1 we have the FPV7 (Neuro-pathological
    Diagnoses) as the criterion with the largest
    number of describers which obtained the minimum
    values required by the model. This result shows
    the importance of the definition of the diagnosis
    of Alzheimer's.
  • This is merely to underline the importance of
    this criterion for the solution of this problem.
    In scenario 2 we have FPV4 (Community Affairs) as
    the criterion with the largest number of
    describers which obtained the minimum values
    required by the model.

26
Comparation of the Results
  • Analyzing the characteristics of these two
    criteria, we see that despite being in different
    scenarios, they have similarities, as both the
    FPV7 in scenario 1 and FPV4 in scenario 2 are
    related primarily, the possible mental health
    problems that may occur with the patient and that
    may cause confusion in the definition of the
    diagnosis of Alzheimer's disease. The first
    result was obtained from the judgment of matrixes
    through the M-MACBETH software.

27
Conclusions
  • The MACBETH multicriteria method was used to aid
    in decision making. The criteria were defined
    according to the CERAD areas of assessment. In
    the questionnaire applied in the Brazilian study
    we defined the criteria based on to
    demographic-social data, analyzed the subjective
    perception of the elderly, their mental and
    physical health.
  • The questions that make up the battery of
    assessments and in the questionnaire were defined
    as the describers of the problem. With this
    information, the judgment matrixes were
    constructed using M-MACBETH software.
  • After evaluating the matrixes, a ranking was
    obtained showing all the questions, from most
    important to least important with respect to the
    diagnosis of Alzheimer's. At the end of this
    study, a comparison was made of the results
    obtained in the application of the model in both
    data sets.

28
Future Work
  • An extension of the model is in the submission
    process (Castro, 2008) using Bayesian Networks.
    We defined the mapping of the questions of CERAD
    and in the questionnaire applied in the Brazilian
    study and through these mappings we can observe
    the questions of the biggest decisive impact for
    the diagnosis.
  • In addition, with this Bayesian Network, we
    structured a multicriteria model that shows the
    questions of the biggest decisive impact for the
    diagnosis. Were showing the percentage of elderly
    people that presented the symptoms of Alzheimers
    disease.
  • Castro, A. K. A., Pinheiro, P. R., Pinheiro, M.
    C. D. Applying Bayesian Networks and a
    Multicriteria Model in the Diagnosis of
    Alzheimer's Disease. BMC Medical Informatics and
    Decision Making, (2008). ISSN 1472-6947. Paper
    has been submitted.

29
Future Work
  • As a future project, this model can be extended
    with the inclusion of new criteria or new models
    which can be developed using other data sets
    (Belderrain, 2006).
  • Belderrain, M. C. N., Silva, A. C. S., Vianna,
    P. V. C. Functional capacity of the elderly in
    city of Sao Jose dos Campos - Sao Paulo - Brazil.
    In 21st European Conference on Operational
    Research - EURO XXI, Iceland. EURO XXI
    Proceedings, (2006).

30
Acknowledgment
  • The authors thank the Consortium to Establish a
    Registry for Alzheimer's Disease (CERAD), Amanda
    Cecilia Simoes da Silva and Mischel Carmem Neyra
    Belderrain (Instituto Tecnologico de Aeronautica)
    for the divulgation of the data utilized in this
    case study.
  • We are thankful to FUNCAP for the support we have
    received for this project.

31
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