Machine Learning , some thoughts

richardh at iinet.net.au richardh at iinet.net.au
Mon Jun 25 19:10:54 EDT 2018



	Many Machine learning applications are analogous to "experience'
ie pattern recognition 

	Typical ML algorithms require training data where the results are
known . They seem to have most application in areas where there are
massive amounts of data which a human cannot comprehend - eg facial
recognition in a crowd

	Clinical problems on a one to one basis are a different problem -
encoding the symptoms/signs will be an issue

	Interesting idea though 
Doctors are not too good at sticking to known protocols where the
condition is known  - machines might do better here 

	R

----- Original Message -----
From: "For openEHR clinical discussions" 
To:
Cc:
Sent:Mon, 25 Jun 2018 13:02:42 +0200
Subject:Re: Machine Learning , some thoughts

 On Mon, Jun 25, 2018 at 12:52:07PM +0200, Bert Verhees wrote:

 > Allthough, there are some patient-conditions which are very typical
for a
 > disease, mostly this is not the case.
 > For example, many infection-diseases have fever as a symptom, and
one person
 > gets pain in his back, and the other has headache as a result of
fever and
 > other inconveniences coming with infection disease.
 > 
 > So, the GP cannot do much with machine learning, the best source of
 > knowledge is his experience,

 Experience is, at most, an equal source to evidence. It
 becomes "better" over time.

 > and if he cannot solve with that, he should ask
 > someone else, or send the patient to the hospital to a specialist.

 Nonetheless, an algorithm _can_ scan records in the
 background looking for telltale constellations indicating the
 "I am sure" group (which we sometimes DO miss) and highlight
 those to the GP.

 Karsten
 -- 
 GPG 40BE 5B0E C98E 1713 AFA6 5BC0 3BEA AC80 7D4F C89B

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