Pyae Thu Tun

Electronic-based clinical decision support systems offer several advantages for managing NCD patients in remote areas. Those can improve decision making and patient outcomes by providing timely alerts and supporting healthcare workers in areas with limited resources. However, there are some drawbacks to consider, such as alert fatigue, lack of…[Read more]

In my opinion, we should develop a system which can provide us with the explanations for the decisions and recommendations from the system. So that it can help us build trust and more comprehensive understanding among the healthcare workers and patients. Another thing is that having a mechanism to monitor and provide feedback from users for both…[Read more]

1. Enhancing PIH Prediction Accuracy
When it comes to predicting pregnancy-induced hypertension (PIH), we can consider the follwing. First, by monitoring antihypertensive meds and vasopressors real-time dosages during surgery, we can capture crucial fluctuations. Second is the data related to fluid administration and blood loss during the…[Read more]

Thanks for sharing this interesting topic, Toby.

1. Stakeholders in Machine Learning for Symptom Prediction
Researchers and data scientists are important to develop machine learning models, while clinicians validate predictions and provide domain expertise. Patients and caregivers can contribute feedback, ensuring models align with individual…[Read more]

Hi, Nichcha. Thank you for sharing your experience and the shortcut for the layer panel. It surely helps a lot.

Health behaviors, such as adherence to public health guidelines, use of protective measures, and healthcare-seeking behaviors, could confound the association between age and contact patterns. These behaviors may vary across different age groups and influence their contact patterns.

Mortality Rate
Mortality rate is a measure of the number of deaths, either in general or due to a specific cause, in a particular population, scaled to the size of that population, per unit of time. It is typically expressed in units of deaths per 1,000 individuals per year.

Calculation – The mortality rate is calculated by dividing the number…[Read more]

Efficacy refers to the performance of an intervention under ideal and controlled conditions. It assesses whether an intervention produces the expected result under optimal circumstances.

Effectiveness measures the degree of beneficial effect of an intervention in real-world clinical settings. It evaluates whether an intervention works in terms…[Read more]

Hello, friends. Here’s for me:
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This is what I learned this week
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This is what I’ve learned for Week 2 😊
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Hi, Ko Aung Thura, Thank you for sharing the importance of being cautious about interpreting conflicting results based only on differing p values. It reminds us that statistical significance alone is not always sufficient to draw conclusions and it is essential to consider the broader context. It also highlights that statistical analysis are…[Read more]

I would like to choose point 6: Statistical significance indicates a scientifically or substantively important relation has been detected from page 341.

Statistical significance doesn’t mean that a finding is important or practically relevant. If the null hypothesis were true, the observed result is not happened by chance. The observed effect is…[Read more]

Hello, Ko Aung Thura. Glad to meet you in the same course again.

Nice to meet you, Toby.

Hi all, I am Pyae Thu Tun from Myanmar and I currently serve as a team member of the M&E team in an NGO focused on HIV prevention, care and treatment program. As part of my job, I have gained experience collecting and analyzing data using tools such as Excel and Power BI.
For the job nature, I only need to focus on the descriptive statistical…[Read more]

The following combination as an example, could identify me
Zip Code: 11111
Age Range: 35–40
Marital Status: Married
Time Zone: Myanmar Time Zone
Organizatoin: Marie Stopes International
Project: Global Fund Project

Since it is essential to understand the reasons behind this behavior in analyzing the responses for this survey, we need to consider further exploration methods.

One approach is to conduct qualitative surveys and interviews to directly ask individuals about their reasons for not using bednets. This can provide valuable insights into the specific…[Read more]

The TAM explains why people use new technology. TAM says the usefulness of new technology compared to old technology matters a lot. People are more likely to use new things they find helpful and better than the old ones. Perceived usefulness is key to adoption.

When replacing old technology with something easier to use, we need to consider its…[Read more]