Healthcare Information System Bash Script Project #sazid zamil .pptx
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This document outlines a healthcare information system project built using Bash scripting. The project aims to create a computer system that allows doctors and healthcare workers to easily keep track of patient information and appointments. The Bash script handles patient record management, appointment scheduling, and storing doctor information through a command-line interface. It was tested on a Unix-like system and provides basic but efficient healthcare information management through an easy to use interface, though it has limitations like a lack of persistent data storage and more advanced features. Future work could integrate a database and improve the user interface.
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The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
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- 1. 01 02 Healthcare Information System Bash Script Project Mohammad Hasibul Islam Shanto ID : 213015012 Md Nazrul Islam Rokib ID : 213015014 Course Teacher : Mr. Mozdaher Abdul Quader Course Title : Operating System Lab Course Code : CSE -310
- 2. Introduction The Healthcare Information System project is all about creating a computer system that helps doctors and other healthcare workers keep track of patients’ information and appointments easily. It makes managing patient records and scheduling appointments more organized and efficient. Scope: Handling patient records, appointments, and doctor information.
- 3. 01 02 Project Overview Function : ● Patient record management, ● Appointment scheduling, ● Doctor information storage. Technology : ● Command-line interface. ● Bash scripting
- 6. User Interface Design: Command-line Interaction: User-friendly, easy navigation.
- 7. User Interface Add Patient feature & Schedule Appointment
- 8. User Interface Add Doctor feature & Display Doctor List
- 9. Testing and Evaluation ● Testing Environment: Unix Like system, Bash shell. ● Performance: Efficient for small scale use, user-friendly interface.
- 10. Achievements: Demonstrates basic healthcare information management. Limitations: No persistent data storage, basic UI. Cannot deleted added records. Conclusions and Future Work Future Scope: Potential for database integration, advanced UI.
- 11. Thank You / Q&A Thank you! Questions?
- 12. Thank you for your time 😊