Native iOS mobile application developed to evaluate the impact of dieseases on blood cells using symptoms as input in addition providing information on about variuos symptoms that may occur blood cells dysfunction.
The application accepts input in the form of text and predict which blood cell migh have affected.
The iOS applicatiopn is built using swift programming language and StoryboardUI
| Function | Description | Link to blog | Output Gif |
|---|---|---|---|
| performSegue() | Used in trnasfering the predicted output from one view controller to other | Link to Documentation | |
| Changing the name using refactoring | Changing the name of the view controller | Link to Documentation | |
| UIAlertController(title: ,message: ) & AddAction() | Gving an alert when the user presses predict button with empty symptoms | Link to Documentation | |
| Connect Github+Xcode | For continues integration and updating code on GitHub repository | Link to Documentation |
- Rule Based Text Classification model
- Machine learning based Text Classification Model
- Hybrid Text Classification Model
| Disoarder | Problem | Affected blood cell and type |
|---|---|---|
| Thermbocythemia | Elevated platelet count | Platelets (Thermbocyte) |
| Thermbocytopenia | Low platelet count | Platelets (Thermbocyte) |
| Thermbocytosis | platelets releasing its components | Platelets (Thermbocyte) |
| Neutrophilia | Elevated neutrophil count | Nutrophils |
| Neutropenia | Low nutrophil count | Nutrophils |
| Nutrphil activation syndrome | Nutrophil releasing its components | Neutrophils |
This repository is released under MIT License. Link