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Problem

Problem$ Di%cult to determinesuppl# of hospital resources relativeto need

&oal$ Predict future need

Scope' (hich suburbs are in most need

' (hich factors contribute most

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Data Source

Data needed$ populationcharacteristics demo"raphic*socioeconomic* ris+ factors)

Source$ Social Health ,tlas of,ustralia

-1 units of observations* -.attributes

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T#pe of DataAttribute Qualitativ

e

Nominal Ordinal Quantitativ

e

/ode

Suburbs

Total people

/ate"or#

,"e 234

5ducation

,bori"inal

Sin"le famil#

Lo6 income

7nemplo#ed

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/ontinued8Attribute Qualitat

ive

Nominal Ordinal Quantitati

ve

Dela#ed/onsultation

Smo+in" durin"Pre"nanc#

T#pe diabetes

Hi"h cholesterol

/irculator#

H#pertension

Ps#cholo"ical

/urrent Smo+ers

Hi"h alcohol

Ph#sical inactivit#

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9etadataAttribute Function/ Description

/ode /ode of suburbs

Suburbs :ameof suburbs

Total people :umber of people livin"in each

suburb

/ate"or# /lassification number of suburbsfrom; to 2 based on population

,"e 234 People a"ed23 andover

5ducation People 6ho left school at

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Smo+in"durin"

Pre"nanc#

:umber of females6ho smo+ed

durin"pre"nanc#

T#pe diabetes People 6ith t#pe diabetes

Hi"hcholesterol People 6ith hi"h cholesterol

/irculator# People6ith /irculator#s#stem

problems

H#pertension People 6ith h#pertension problems

Ps#cholo"ical People6ith hi"h or ver#hi"h

ps#cholo"ical distresslevels

/urrent Smo+ers People6ho smo+e currentl#

Hi"halcohol People 6ho consume alcohol at

levelsconsideredto bea hi"h ris+to

health

Ph#sical inactivit# :umber of people 6ho areph#sicall#inactive

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(h#>

Simple and comprehensive

Public availabilit#

Suitabilit# for Data 9iner ,ccurac# and !eliabilt#

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Technolo"# Selection

S,S 5nterprise9iner

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S,S 5nterprise 9iner

/omple? ,nal#sis$ ,ssociation

!e"ression

/lusterin"

:eural :et6or+

/lassi0cation

Decision Trees 88

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(h# 6e use Decision Tree

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(h# 6e use Decision Tree

Our aim $ (hich suburb needs moremedical care in Queensland

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(h# 6e use Decision Tree

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(h# 6e use Decision Tree

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(h# 6e use Decision Tree

Simple to 7nderstand

!e@uires little data preparation

/an handle lar"e datasets /an handle numerical and

cate"orical data

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(h# 6e use Decision Tree

To achieve our "oal* 6e need decisiontree8AA

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,pplication

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,pplication'Data

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,pplication'Stat5?plore

Table 6ith ndirect social) factors

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,pplication'Stat5?plore

Table 6ith health factors

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,pplication'Data Partition

-1 data

C3C2 data forTrainin"

-2-C data for

Ealidation

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,pplication'!eplacement F /ontrol

Point

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,pplication'Decision Tree

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Summar# F /onclusion

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!esults

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/ontinue8

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,nal#sis

/lassi0cation 5ducation Sin"le famil# Smo+in" ,"ein"

/ate"or# 1

/ate"or# *-

/ate"or# G

/ate"or# 3*2

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!esults

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Outcomes

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/onclusion

/ate"or# -

nvest more llness speci0c

/ate"or# H#pertension F Ps#cholo"# Social care* Promote Health*

/ate"or# 1Social care Small medical points

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/onclusion

/ate"or# 3 F 2

/ompetePromote public

health

/ate"or# 3 F 2

9eet demand llness speci0c

/ate"or# G

nvest less ,"in" resources

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9eet

Demand

Betterunderstandi

n"

/ostmana"ement

BetterPlannin"

!evenue

increase

Betterservices