Think About Your Audience
Aug. 8th, 2022 12:09 am![[personal profile]](https://www.dreamwidth.org/img/silk/identity/user.png){kind=small}
priyanshsinghProject : Improve diagnostics of typhoid through Open Science: An Artificial Intelligence-based technique.
Goal: Reduce deaths caused by Typhoid Fever by Combining New technologies such as Artificial Intelligence with an irreplaceable human clinician to advance earlier and better diagnosis of Typhoid Fever.
We propose to use the microcultures test with the blood which seems to be the best accepted by the laboratory technicians. We will use algorithms (computer programs) on the collected images to train the algorithm and get better accuracies in the diagnostics.
Objectives
1) Design interviews for practitioners in order to collect the associations of symptoms that confirm the disease and its level of severity.
2) Images collection taking into account the different ethnic groups, gender and age in order to have a heterogeneous dataset to allow us to avoid the biases that may arise and undermine the use of our solution.
3) Design and implement a computer program that will use Convolutional Neural Networks (Artificial Intelligence) to train blood test images and to diagnose Typhoid Fever.
4) Design and implement a decision making computer program to confirm the diagnose Typhoid Fever based on symptoms.
Goal: Reduce deaths caused by Typhoid Fever by Combining New technologies such as Artificial Intelligence with an irreplaceable human clinician to advance earlier and better diagnosis of Typhoid Fever.
We propose to use the microcultures test with the blood which seems to be the best accepted by the laboratory technicians. We will use algorithms (computer programs) on the collected images to train the algorithm and get better accuracies in the diagnostics.
Objectives
1) Design interviews for practitioners in order to collect the associations of symptoms that confirm the disease and its level of severity.
2) Images collection taking into account the different ethnic groups, gender and age in order to have a heterogeneous dataset to allow us to avoid the biases that may arise and undermine the use of our solution.
3) Design and implement a computer program that will use Convolutional Neural Networks (Artificial Intelligence) to train blood test images and to diagnose Typhoid Fever.
4) Design and implement a decision making computer program to confirm the diagnose Typhoid Fever based on symptoms.
