Machine Learning , some thoughts

richardh at richardh at
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 


----- Original Message -----
From: "For openEHR clinical discussions" 
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.

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

 openEHR-clinical mailing list
 openEHR-clinical at

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <>

More information about the openEHR-clinical mailing list