The global burden of tuberculosis (TB) and antibiotic resistance is attracting the attention of researchers to develop some novel and rapid diagnostic tools. Although, the conventional methods like culture are considered as the gold standard, they are time consuming in diagnostic procedure, during w
A Data Science Project For The Prediction Of TB
The global burden of tuberculosis (TB) and antibiotic resistance is attracting the attention of researchers to develop some novel and rapid diagnostic tools. Although, the conventional methods like culture are considered as the gold standard, they are time consuming in diagnostic procedure, during which there are more chances in the transmission of disease. Further, the Xpert MTB/RIF assay offers a fast diagnostic facility within 2 h, but due to low sensitivity in some sample types may lead to more serious state of the disease. The role of computer technologies is now increasing in the diagnostic procedures. Here, in the current study we have applied the artificial neural network (ANN) that predicted the TB disease based on the TB suspect data.
To provide a happy and healthy of the people of the society.
To make us able to pridect thst the person is suffering from TB.
To make a surtain step to start a tretment after the pridection of TB.
To provide a system that will help in proper madication of TB.
Smart Application(
Analysis of proposed scheme………………………. 1 month
Preparation of Scheme ……………………………….. 1 month
Implementation of scheme/model...……………. 1 ½ month
Analysis of Simulation ………………………………… 1 month
Result Formulation ……………………………………… 1 month
Final Write-up thesis Submission ………………… 2 week
)
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Smart phone | Equipment | 1 | 20000 | 20000 |
| Smart watch | Equipment | 1 | 20000 | 20000 |
| Sensor Device | Equipment | 1 | 30000 | 30000 |
| Printing pages, stationary, rent thesis, binding, internet packages | Miscellaneous | 10 | 1000 | 10000 |
| Total in (Rs) | 80000 |
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