Nichcha Subdee

I agree with you, Teerawat. Including more screenshots in the manual will ensure we are on the right track. Also, as Kansiri mentioned, there are a few steps that we have to figure out on our own. These improvements will make the process much clearer and more efficient for everyone.

Dear Kansiri,
Thanks for sharing the tips for assignment 2.2. Your detailed explanation is very helpful😀.

Well done, Aung Thura Htoo! Placing all the scorecard results at the top really catches the user’s attention right away. I also have some suggestions for improving the dropdown lists. It would be more user-friendly and preferable to list the months starting with January (in ascending order). Beginning with December at the top can make it more…[Read more]

1. Considering the model’s performance, what additional data or features do you think could further improve the accuracy of predicting PIH?
= 1.1 Integrating additional hemodynamic parameters like heart rate variability (HRV), pulse pressure variation (PPV), and laboratory data such as electrolyte levels and hemoglobin provides deeper insights i…[Read more]

1.What are the stakeholders that should be involved in applying Machine Learning in symptom prediction? What are their roles and responsibilities?
= 1.1 Oncologists and Other Healthcare Professionals (Medical Expertise): Provide medical knowledge to guide model development and ensure the predictions align with clinical reality. Their role also…[Read more]

Thank you so much for the comments, Aung Thura Htoo. I did not realize the comma issue at first. I think I accidentally changed the display format of the scorecards to “none,” which is why the comma did not appear between the numbers. Thanks for pointing that out to me. Also, I did not combine the country flags and action buttons. Initially, I…[Read more]

Hello, everyone. Here is the link to my final project assignment: https://lookerstudio.google.com/s/hwq2ttZ3PI8
I aim to ensure my dashboard is as user-friendly as possible. It consists of seven pages. The first page is the main dashboard, displaying data for six countries (Brazil, Egypt, Germany, Japan, Mexico, and Thailand) from January 2020 to…[Read more]

Hello, everyone. The images below are my data visualization for this week’s project, and here is the link to the project’s looker studio: https://lookerstudio.google.com/s/mi0JWOB9-nc

Thank you for sharing the COVID-19 Tableau Dashboard. I regularly checked this dashboard during the peak pandemic because it provides detailed and reliable data from Thailand’s Department of Disease Control (DDC). I agree that the language barrier is a significant issue. Having an English version would be helpful for non-Thai speakers living in T…[Read more]

Everyone introduces such a great data visualization dashboard for COVID-19 disease. I often used those dashboards to update the situation during the pandemic. For this discussion, I would like to introduce the COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) [a research collective housed…[Read more]

Good work Suppasit👍, here is my suggestions for improving your case record form.

ㅁ Screening
1. This is the part for checking the eligible criteria. So, I think it would be nice to add another question at the end asking whether the subject will be included, temporarily excluded, or excluded, along with the reasons for exclusion.
2. Age: Asking f…[Read more]

The date format and an example of how to fill out the case record form on the date of the visit and the date of the informed consent form signed, whether it is DD/MM/YYYY or MM/DD/YYYY or DD/MMM/YYYY, should be provided so that any confusion that might occur during data collection and data entry can be avoided.
The corrected version should appear…[Read more]

A significant advantage of implementing data standards in clinical research is interoperability. Given that high-impact clinical studies often involve multiple centers, having data standards ensures clear communication and seamless data exchange between these centers. This not only reduces the risk of misunderstandings and confusion during data…[Read more]

I have experience collecting data for a project known as the GIVES-21 project, which stands for Global Inflammatory Bowel Disease (IBD) Visualization of Epidemiology Studies in the 21st Century. This study aims to understand the factors contributing to the rapid increase in IBD cases across 29 regions worldwide. It is a multicenter study hosted by…[Read more]

Thank you for sharing your insights, especially on database lock, security, and access control, areas I’m not very familiar with. I’d like to share my opinion on some aspects of your discussion.

I particularly like the idea to implement multi-factor authentication for database access control. As a study coordinator working with a database system…[Read more]

According to the three main data management processes (project initiation, during the study conduct, and during the study end), I was involved in project initiation and conducting the most during the study. I was involved in some steps during the end of the study. I had duties to design data workflow, CRF, data entry/validation, write progress…[Read more]

Your project is really fascinating, and as someone from Chachoengsao province, I find it meaningful to know that there was such research being conducted in my hometown. Also, I agree that language can pose a significant barrier during data collection. Miscommunication with participants can lead to errors impacting the study’s results.

I was a research assistant at the Faculty of Medicine Siriraj Hospital, a top-ranking institution for medical education and research in Thailand. So, I have several research projects to manage, and data collection plays a big role in my responsibilities.

1. Purpose of data collection:
= The research projects I was involved in about Inflammatory…[Read more]

This is my summary of the topic of personal health information. Please see the attached picture or in the following link –> https://snipboard.io/LwrhEe.jpg