Weerapat Pipithruengkrai

Question 1: How will you apply the results of this research article into different health care departments/settings or chronically ill patients, if this would be beneficial in your future practices e.g., Mental Health, Diabete, Oncology or others?

In my opinion, the results of this research on ePROs can significantly enhance the management of…[Read more]

1. How can integrating environmental data improve the accuracy and timeliness of malaria outbreak predictions compared to relying solely on epidemiological data?

In my opinion, integrating environmental data significantly improves the accuracy and timeliness of malaria outbreak predictions compared to relying solely on epidemiological data.…[Read more]

1. Please discuss how you think the perceived ease of use and usefulness may differ among the different demographics.

In my opinion, based on Thai people’s digital literacy I experienced.
Age: Younger Thai people being more familiar with technology, typically find e-health applications easier to use and more beneficial, while older adults may…[Read more]

1. From the results, What would you recommend to Tak Hospital to improve the syphilis surveillance system?

In my opinion, Tak Hospital could significantly improve its syphilis surveillance system by focusing on a few key areas. Firstly, enhancing communication and cooperation between departments. This involves fostering better coordination…[Read more]

1. How can implementing artificial intelligence technologies in epidemic surveillance systems be enhanced to better detect and respond to disease outbreaks?
In my opinion, the implementation of AI in epidemic surveillance can be significantly enhanced by using advanced data analysis and applying Machine Learning (ML) techniques. As ML techniques…[Read more]

1. What additional factors should be considered to identify barriers and unmet needs in health information seeking among youth for HIV/STI and RH than in the paper?

In my opinion, additional factors to consider include cultural and social norms that hinder open discussions about sexual health, gender dynamics that create different challenges for…[Read more]

1. How can the decision tree model be integrated into clinical practice to assist surgeons in preoperative planning and decision-making?

In my opinion, integrating a decision tree model into clinical practice can significantly enhance preoperative planning for surgeons. By including the decision tree model into a clinical decision support system…[Read more]

1. Is there any similar electronic-based clinical decision support system which has been developed or planned to be developed for NCD patients in remote area of your country? Please share your experience about advantages and disadvantages of the tool.

In Thailand, various electronic-based clinical decision support systems (CDSS) that support…[Read more]

1. Besides medical algorithmic audits, are there some additional ways to improve the safety of medical AI systems?

In my opinion, applying human-in-the-loop systems in medical AI systems can significantly enhance patient safety, by ensuring AI outputs are continuously reviewed and verified by medical professionals. This approach can help in…[Read more]

Hi, Nichcha. Your Looker dashboard on COVID-19 trends is detailed and visually appealing, showcasing data effectively across multiple countries. The use of interactive elements, such as filterable country and month and year selections is convenient for users to filter the data that they need. Moreover, the country icon that users can click access…[Read more]

Hi, Aung Thura Htoo. Your Looker dashboard for COVID-19 data is comprehensive and straight to the point, effectively displaying various key details such as total confirmed cases, recoveries, and deaths over time. Moreover, The simple design of filters and the option to select specific countries are convenient for users to use.

In my opinion, to…[Read more]

My dashboard contains 4 pages which are:

Main Dashboard
The main dashboard provides a comprehensive overview of COVID-19 data from January 2020 to April 2022 for six countries: Brazil, Egypt, Germany, Japan, Mexico, and Thailand. It includes scorecards displaying total confirmed cases, recoveries, and deaths, along with a filled map for visual…[Read more]

1. Considering the model’s performance, what additional data or features do you think could further improve the accuracy of predicting PIH?

From my perspective, including a patient’s detailed medication history in the model can significantly improve the prediction of low blood pressure during anesthesia. Medications like antihypertensives, b…[Read more]

1. What are the stakeholders that should be involved in applying Machine Learning in symptom prediction? What are their roles and responsibilities?

In my opinion, there are several key stakeholders who must be involved in using machine learning to predict symptoms in cancer patients.
– Data scientists and machine learning engineers are crucial…[Read more]

Hi all, this is my visuals for this week topics.

My Looker studio link: https://lookerstudio.google.com/reporting/104341b2-1595-4b57-a37f-64858d8ada59/page/yKx3D

I appreciate your review of the CDC’s COVID-19 dashboard. You highlight several key strengths of the dashboard, such as bar charts for displaying trends over time, ongoing updates to real-time data, and color choices for accessibility. I agree that these elements contribute to a user-friendly and informative visualization.

By the way, I share…[Read more]

I would like to introduce the COVID-19 Tableau Dashboard from Thailand’s Department of Disease Control (DDC). (“https://ddc.moph.go.th/covid19-dashboard”)

This dashboard provides comprehensive data on COVID-19 cases such as new cases, deaths by age or sex, pneumonia, and intubated patients. It features interactive elements that allow users to…[Read more]

This is my infographic for this week

These are my infographic for this week.