Landmines&Zombies

TakingonChronicFa6gue

2

3

BachelorofEngineering&BachelorofScience(IT)

Honoursthesisonlandmineremoval

4

Insertpicturesofmeinpakistan

2001(finalyear)Afghanistan

6

7

Insertpicturesofme

8

Medical

BloodtestsOKThyroidcheckOKIronLevelsOKSleepApneaNEGATIVE“Nothingwrongwithyou”

WikiWisdom

GetmoresleepBedOmerouOneEatcarbsMoreexerciseDon’tNapNap

Tryanything

GlutenfreeLactosefreeDairyfreeMeditaOonMusclerelaxaOon

Despair.6years.

6yrs

9

Insertpicturesofliz

Insertpicturesofkids

10

TesOng

Bloodtests

FaecalProfiling

SalivacorOsonetesOng

Hairtests

Other/Vitamins

Enzymes

AnOfungalmedicaOons

AminoacidSupplements

MineralSupplements

Diets

10

Nostarch

Lowstarch

LowcarbDairyfree

VitC

VitE

UbiquinolTyrosine

Cal-Mag

Amphotercin

Sugarfree

Iron

Ampicillin

CreonLumbrokinase

ECC

NilstatFishOil

Difflucan

ProbioOcs

ZincMolybdenum

BileAcidBioOn

Ornithorne

Glutamine

Noredmeat

Date Wellness Notes Diet Medications

8/09/10 0.35

start this column here: total diet: asparagus, celery, red cpsicum, spinach, almonds, meat, herbal teas, eggs for brekky. Exceptions noted

starting taking: 6 parex, 4 nilstat, 4 amphotercin 10mg lozenge, probioplex, hydrozole

9/09/10 0.1 " "10/09/10 0.1 had a glass of wine " "11/09/10 0.65 had coffee and a shot of whisky at night " "12/09/10 0.1 " "13/09/10 0.4 glass of wine at night " "

14/09/10 0.1glass of wine at night (my bday!) also didn't have lunch. No meat today, only fish (salmon) for dinner. " "

15/09/10 0.41/2 glass of wine, switched from beef/chicken to fish as only meat. Also had first Difflucan tonight.

removed all meat other than fish from above diet same plus difflucan today

16/09/10 1 felt 99% normal ! 1/2 glass wine at night " back to same minus difflucan

Date Wellness Notes Diet Medications

8/09/10 0.35

start this column here: total diet: asparagus, celery, red cpsicum, spinach, almonds, meat, herbal teas, eggs for brekky. Exceptions noted

starting taking: 6 parex, 4 nilstat, 4 amphotercin 10mg lozenge, probioplex, hydrozole

9/09/10 0.1 " "10/09/10 0.1 had a glass of wine " "11/09/10 0.65 had coffee and a shot of whisky at night " "12/09/10 0.1 " "13/09/10 0.4 glass of wine at night " "

14/09/10 0.1glass of wine at night (my bday!) also didn't have lunch. No meat today, only fish (salmon) for dinner. " "

15/09/10 0.41/2 glass of wine, switched from beef/chicken to fish as only meat. Also had first Difflucan tonight.

removed all meat other than fish from above diet same plus difflucan today

16/09/10 1 felt 99% normal ! 1/2 glass wine at night " back to same minus difflucan

13

iuAPivUXOAREAFRAGSCLEARTIME

++++

++=

)1ln(..ln.ln

53

210

ββ

βββ

Effect of statistically significant variables (Transformed model)

R2=85.2% Constant (lnTeamHours)

Fragment Slope (lnTeamHours/lnFrags)

Area slope (lnTeamHours/sqrtArea)

AP (lnTeamHours/lnAP)

Base figure -1.71 0.531 0.00345 0.014 Additional effects Land use Grazing, Irrigation, Road Agricultural 0.00076 Residential 0.023 Significant UXO No Yes 0.15 Hard surface No Yes 0.014 Vegetation Bushes, Grass, None Prickly bushes 0.015 Trees 0.00112 Total ? ? ? 0.014

MinefieldClearanceTimeModel

14

408daysofdata

39Variables

-1outputvariable(wellness)-1weekend/holidayindicator-5dietaryindicators-32supplements/medicaOons

15

MulOpleRegressionStepwiseproceduretoopOmisevariableform

)(...)()()( 3332221110

nnn xfxfxfxfWELLNESS

β

ββββ

++

+++=

APersonalWellnessModel

16

Factor1

Weekends/Holidays

Coefficient: 7.0%P-value: 0.0000006OpOmalform:100%onDay0

20

Factor2

Tyrosine

Coefficient: 6.9%per1000mg

P-value: 0.0000010OpOmalform:100%onDay0

23

Factor3

Redmeat

Coefficient: -5.9%P-value: 0.07OpOmalform:33%fromDays0,-1and-2

ResultsSummary

Factor Effect MagnitudeEffect

6mescale

Levelof

Certainty

Holidays Good +7% SamedayHigh

(p=0.00)

Tyrosine Good +7% SamedayHigh

(p=0.00)

Redmeat Bad -6% CumulaOveover~3days

Moderate(p=0.07)

26

Igotabitexcited…

27

WhatIlearned

Ithought Ilearned

Themedicalprofessionismyonlyhope

TherearethingsIcandotohelpmyself

ChronicfaOgueistoocomplicatedtoanalyse

That’swhatstaOsOcsarefor!

Thedataistoorough Roughandregularisenough

Itis‘only’subjecOvemeasurement

Idoknowmyownbody

28

WhatIlearned

Ithought Ilearned

Themedicalprofessionwasmyonlyhope

TherearethingsIcandotohelpmyself

ChronicfaOguewastoocomplicatedtoanalyse

That’swhatstaOsOcsarefor!

Thedataistoorough Roughandregularisenough

Itis‘only’subjecOvemeasurement

Idoknowmyownbody

29

WhatIlearned

Ithought Ilearned

Themedicalprofessionwasmyonlyhope

TherearethingsIcandotohelpmyself

ChronicfaOguewastoocomplicatedtoanalyse

That’swhatstaOsOcsarefor!

Thedatawastoorough Roughandregularisenough

Itwas‘only’subjecOvemeasurement

Idoknowmyownbody

30

WhatIlearned

Whilethesickmanhaslife

data,thereishope!-  Cicero(modified)

ChrisBartley

chris@empirikalsystems.comPerth,WesternAustralia

Ithought Ilearned

Themedicalprofessionwasmyonlyhope

TherearethingsIcandotohelpmyself

ChronicfaOguewastoocomplicatedtoanalyse

That’swhatstaOsOcsarefor!

Thedatawastoorough Roughandregularisenough

Itwas‘only’subjecOvemeasurement

Idoknowmyownbody