Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Trusting Machine Learning Results from Medical Procedures in the
  Operating Room   Machine learning can be used to analyse physiological data for several
purposes. Detection of cerebral ischemia is an achievement that would have high
impact on patient care. We attempted to study if collection of continous
physiological data from non-invasive monitors, and analysis with machine
learning could detect cerebral ischemia in tho different setting, during
surgery for carotid endarterectomy and during endovascular thrombectomy in
acute stroke. We compare the results from the two different group and one
patient from each group in details. While results from CEA-patients are
consistent, those from thrombectomy patients are not and frequently contain
extreme values such as 1.0 in accuracy. We conlcude that this is a result of
short duration of the procedure and abundance of data with bad quality
resulting in small data sets. These results can therefore not be trusted.

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The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn