The probability of a rise or fall in blood pressure?

Click For Summary
SUMMARY

The discussion centers on a database program developed to analyze blood pressure readings and predict future changes based on historical data. The program calculates the probability of a patient's blood pressure rising or falling by averaging the outcomes of similar patients. For example, if 14 out of 20 patients experienced a rise, the program estimates a 70% probability of the analyzed patient experiencing a rise of approximately 5.63%. While the approach is valid, it lacks consideration of external factors influencing blood pressure changes.

PREREQUISITES
  • Understanding of basic statistical concepts, particularly averages and probabilities.
  • Familiarity with database programming and data retrieval techniques.
  • Knowledge of blood pressure measurement and its clinical significance.
  • Awareness of factors affecting blood pressure, such as diet and stress.
NEXT STEPS
  • Research statistical methods for predictive modeling in healthcare.
  • Explore advanced database techniques for handling patient data, such as SQL queries.
  • Learn about the impact of lifestyle factors on blood pressure variations.
  • Investigate machine learning algorithms for enhanced predictive analytics in medical data.
USEFUL FOR

Healthcare data analysts, medical researchers, and developers working on health-related predictive models will benefit from this discussion.

LDThompson
Messages
1
Reaction score
0
The probability of a rise or fall in blood pressure??

I have developed a database program that searches for all blood pressure readings that are similar to the readings of any given patient. The program then retrieves the following day’s data from all the matching patients to find out what (if any) the probability of the patient being analysed will have a higher or lower blood pressure and what the likely percentage increase/decrease will be.

To do this, I have simply counted the number of patients that have a rising/falling blood pressure and averaged the rise or fall to give a percentage e.g. 14 out of 20 patients blood pressure had risen and therefore the probability of this patient’s blood pressure being raised tomorrow with be 70% and it will raise by approximately 5.63% i.e. that average raise of these 14 patients.

I’m not too sure whether this (never studied statistics nor probability theory) is correct or not and would be most graceful if anyone can give me some help and advise.

Kind regards and thanks in advance for any help

Laurence
 
Physics news on Phys.org
That approach seems fine as far as it goes, but I wonder how much predictive value it will have. I.e., you're predicting future blood pressure changes based on current blood pressure, but I would suspect that changes in blood pressure are driven mostly by other factors that aren't really captured by the current blood pressure (changes in diet, stress, illness, etc.). But the only way to find out is to try it and see how well it works.
 

Similar threads

Replies
13
Views
1K
Replies
18
Views
3K
Replies
28
Views
4K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 5 ·
Replies
5
Views
20K
  • · Replies 11 ·
Replies
11
Views
4K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 7 ·
Replies
7
Views
7K
  • · Replies 9 ·
Replies
9
Views
5K
  • · Replies 1 ·
Replies
1
Views
4K