Method for generating at least one recommendation
A generator and learning method technology, applied in neural learning methods, biological neural network models, speech analysis, etc., to achieve the effect of optimized diagnosis
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[0036] figure 1 A flowchart of a method for generating at least one recommendation 40 according to the invention is illustrated. First, the generator unit 20 receives a case embedding 30, S1. Case embeddings 30 can be computed for specific cases or situations. Typically, case embeddings are obtained based on deep learning30.
[0037] Then, one or more recommendations 40 are generated based on the case embeddings 30 using a deep learning scheme, S2. Therefore, different deep learning schemes such as LSTM or GAN can be utilized. For example, LSTMs are particularly well suited for processing text data or audio data, similar to Google Translate or Deepjazz respectively.
[0038] Finally, the recommendation 40 is output S3. Recommendation 40 can serve as a textual description of the solution along with a schematic detailing the text Figure 1 are output to the user. In this way, the diagnostic engineer, as an exemplary user, advantageously alleviates, according to the prior ...
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