mohammed alharbi 2 e
Post on 20-Mar-2017
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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
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