Have anyone tried AQL adapter to pandas(python data analysis package for machine learning and statistics)?
Shinji 2018-06-24 1:11 GMT+09:00 Bert Verhees <bert.verh...@rosa.nl>: > Today my wife showed me Plantnet. > > https://plantnet.org/en/ > > It recognizes over 6000 plants from showing a flower or a leaf to your > phone. It has learned from machine-learning 700.000 pictures, and its > knowledge every day grows stronger, because it keeps on learning. And not > only the looks of a flower, but if it takes location (biotope) and date in > consideration, the certainty of recognizing gets stronger. > > Now you can imagine that it must be hard to recognize a plant from a > picture, without seeing the dimensions and showed in many possible angles, > in sunlight, cloudy or twilight. > > I was impressed how good it already was. Very advanced computer-knowledge > for free in the hands of the millions. > > There is also an app, I did not try it, which recognizes birds from audio. > You walk somewhere, hear a bird and want to know what kind of bird that is. > > The Berlin Natural History Museum leads a contest of 29 teams using 23 > different methods, with more than 82% good identifications for isolated bird > recordings, and more than 74% correct identifications for recordings mixing > several bird songs. > > > I often notice there is a trend in thinking that Machine Learning cannot be > much help, see how miserable google-translate translates. But then we for > get to see how much progress is made in other areas. > > Why am I writing this? Just to let you think about it. > > I wonder, Is OpenEhr usable for recognizing pattern in diseases over Machine > Learning, isn't behind every diagnosis a small cloud of archetypes which > forms a pattern? The features of recognizing/learning should not be found in > archetypes ID's, although, that can help a lot, but it should also look to > datatypes, their semantics and relations. > > Isn't OpenEhr better for recognizing pattern then whichever classic storage > structure, because the data-structures in OpenEhr are in semantic models, > this instead of some weird Codd-structure, which only has technical reasons > to exist. > > (Classic data stored in classic SQL schema's could be brought over to > archetyped structures, to make the base of machine-learning larger.) > > I think, when this is developed, we should be able to get to at least two > advantages. > > 1) We don't need CKM anymore, computers can understand archetypes, we don't > need to restrict ourselves to a limited number. We can also use archetypes > we do not know, and maybe we never know. Even, we wouldn't need archetypes > anymore, just as reminder/instruction. But the computer could create the > archetypes on the fly, when seeing the kind of data, the relations, the > diagnosis. > > 2) We could use the pattern to recognize healthcare situations, and maybe > treat/handle/cure on base of instructions coming from machine learning. > > Some thoughts when walking with my wife through the wonderful dunes, and its > special vegetation. Maybe I must write a blog about it. > > Have a nice day. > > Bert > > > > _______________________________________________ > openEHR-clinical mailing list > openEHR-clinical@lists.openehr.org > http://lists.openehr.org/mailman/listinfo/openehr-clinical_lists.openehr.org _______________________________________________ openEHR-clinical mailing list openEHR-clinical@lists.openehr.org http://lists.openehr.org/mailman/listinfo/openehr-clinical_lists.openehr.org
