Machine Learning , some thoughts

Bert Verhees bert.verhees at
Tue Jun 26 10:16:51 EDT 2018

On 26-06-18 14:35, Stefan Sauermann wrote:
> Dear Bert, all!
> Sorry if this consumes excess bandwith, feel free to delete.
> The case you describe clearly provides a sound reason why "generic 
> archetypes will remain necessary".
> I agree completely. This use case must always be satisfied.
> It does not include automated processing at the receiving end. The 
> receiving party must read the information and decide what to do, using 
> their human brain cells, no 100% reliable computer aided decision 
> support (as in medical devices).
> In this use case, I see no difference between:
> - transmitting information within a "generic archetype"
> - transmitting the same information in unstructured free text.
> Both technologies provide a useful solution for the use case.
>  - So (in my humble view) this specific use case does not demand a 
> "generic archetype". In other words, it needs no archetype at all.
Just a few days ago I heard about Google scanning a great number of 
files of all kind and format, searching for medical information. The 
results were quite remarkable.

But unstructured information is not what I am aiming for.

There will be some semantics.
A clinician can indicate that data are from the user story, or from the 
observation, so, that is already some information.
While talking with the patient, the doctor can measure heartbeat, 
bloodpressure, saturation, temperature, bloodsugar, even almost without 
touching de patient. It will be more soon.
Development goes so fast.
And patients can also measure data at home, or at work, or wherever.
Context is also location, patient personal data, time of the day, 
jet-lag, season of the year, weather conditions, other medical 
conditions, alcohol consumption, social status

Most of these data are not regarded as relevant in the actual medical 
condition. So archetypes do not have items for this.

There are two kind of medical data.
a) Medical data which are relevant in the context of a specific medical 
b) Medical data of which the relevancy is not yet known in the context 
of a medical condition, or another medical condition, which maybe is 
also not known at the moment.

The data of the second kind are also medical data, so why not store them?

Karsten yesterday said, a person at the doctor should be more then a 
medical complaint. I agree with that. But the current medical practice 
is not like that.
You go to the doctor with a medical complaint, and you talk about that, 
the doctor does research in that context, and the software finds some 
archetypes which fit to that.

But the person should be seen as more then a medical complaint, but as a 
complex of conditions and lifestyle.
We need generic archetypes which can store machine generated datasets to 
store information about the whole person, instead of only the medical 
condition which is subject of conversation.

I believe I am the only person in this list who thinks like that. But 
that does not matter.

Have a nice day

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