Multivariate Analysis to Will Die When

Mohammed Alharbi Hap 464

Objective and the objective of the work

Analysis to Predict Who Will Die When.HOW ? Create Training and Validation set . Use the training set to calculate likelihood ratio. It’s important because it gives forecast information regarding

health outcomes. this assignment teaching us to explore data and locate exact

information among data.l

Data sourceNumber of cases

What is the distribution of the data

• Data source from the Assignment Select count (*) from dbo.final • The total number of cases( 17,443,442 number of cases)• distribution of the dataThe average is Average -59.5318And the Standard deviation- 4.2931

Average AgeAtDx: 59.53186Standard Deviation of

AgeAtDx: 4.293136

Start Dataset (hap464.dbo.final): 17,443,442 Cases and 829,827 IDsZombies Removed: 17,432,694 Cases and 829,659 IDs>365 Dx/Yr Removed: 17,379,218 Cases and 829,603 IDs This is your clean data.80% Training Set From Clean Data: 13,760,416 Cases and 657,905 IDs20% Validation Set From Clean Data: 3,619,297 Cases and 171,698 IDs

Preparation of the data

17,443,442

10,748 diagnoses removed

53,476 diagnoses removed

829,827 distinct IDs

Remove Zombies:

168 distinct IDs

Calculating Likelihood Ratios

(Patients who died within six months after diagnosis Dead

Patients)

(Patients who lived six months after diagnosis)Alive Patients

Examples of 10 most deadly and 10 least deadly diseases

10 Most Deadly: Icd9 PtsDead6 PtsAlive6 Dead Alive LR• 1 I218.9 2 2214 112710 545175 0.004369• 2 I626.2 2 1972 112710 545175 0.004906• 3 I478.0 2 1183 112710 545175 0.008177• 4 I599.7 1 544 112710 545175 0.008891• 5 I620.2 2 773 112710 545175 0.012515• 6 I717.83 1 349 112710 545175 0.01386• 7 I474.00 1 343 112710 545175 0.014102• 8 I296.42 1 338 112710 545175 0.014311• 9 I716.17 1 338 112710 545175 0.014311• 10 IV57.22 21 6150 112710 545175 0.016516

• 10 Least Deadly: icd9 PtsDead6 PtsAlive6 Dead Alive LR• 1 I853.05 3 1 112710 545175 14.51091• 2 I798.2 3 1 112710 545175 14.51091• 3 I183.2 2 1 112710 545175 9.673942• 4 I798.9 2 1 112710 545175 9.673942• 5 I194.8 2 1 112710 545175 9.673942• 6 I960.7 2 1 112710 545175 9.673942• 7 I862.21 2 1 112710 545175 9.673942• 8 I852.05 2 1 112710 545175 9.673942• 9 I718.59 2 1 112710 545175 9.673942• 10 I531.21 2 1 112710 545175 9.673942

Usefulness of the project • The usefulness of the project is to practice doing SQL in a large data set by using the skills of

codes, Also to figure out Selecting appropriate method of data analysis and removal of confounding in the data, Visually present complex multivariate data and Interpret quantitative findings and relate it to specific policy issues or management decisions.

• In fact, It’s important in our future work filed