Machine Learning , some thoughts

GF gfrer at
Mon Jun 25 07:05:25 EDT 2018

Largely I agree with Bert.
Medicine is an art for 80% and science for 20%

What medical data is recorded in most cases by GP’s is so scanty that AI is not possible.
Collecting data over long periods of time might help.

Most IT-systems can not store all the epistemology that is needed for AI, at present.
Most of that needed additional info can be obtained on the fly by IT-systems to be designed,
Most of the context information (dates, times, locations, persons involved, relationships), are  available but never stored,

Analysis of images, sounds, that might become feasible.

Gerard   Freriks
+31 620347088
  gfrer at

Kattensingel  20
2801 CA Gouda
the Netherlands

> On 25 Jun 2018, at 12:52, Bert Verhees <bert.verhees at> wrote:
> On 25-06-18 12:40, GF wrote:
>> Providing health and care is part science and for a large part an art.
>> Meaning that humans are needed.
>> Artificial Intelligence is a nice scientific hyped topic and nothing more.
>> That is not to say that AI might play a role and can be of use.
>> It needs to be properly designed, engineered and not hacked together.
>> It is certain that AI applications in healthcare must be treated as Medical Devices.
>> For it function properly we need to be able to document healthcare topics including the full context/epistemology.
> I agree, especially on GP-level, I checked with my wife, she is GP, as you (Gerard) know. I asked her if the context/epistemology in a EHR is sufficient for machine-learning. It is not, she sufficient, and that will never be. GP's have other things to do then carefully record all datapoints that describe a disease.
> Even when using archetyped-systems this does not change.
> 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, and if he cannot solve with that, he should ask someone else, or send the patient to the hospital to a specialist.
> But there, machine learning can do things in some specialties.
> Anyway, thanks for your reply
> Bert

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