These aspects are very important, since they will help professionals with the development of differential diagnoses and the application of personalized therapeutic intervention programs. This facilitates the detection of coincidences in assessed groups. To achieve this, supervised and unsupervised learning Data Mining techniques are applied to facilitate prediction, discovery of behavioural patterns, classification, and grouping of users according to different characteristics that are not established a priori. Currently, these advances are already being applied in medical fields for the treatment of cancer. The application of these advances in the field of therapeutic intervention, especially in diagnosis and precision therapy, is within this context. This has generated a revolution in different fields of knowledge. Future studies will address research in other user cohorts and expand the functionality of their application to personalized therapeutic programs.Īdvances in technology within Industry 4.0, especially those related to the use of computer applications, allow the derivation of data to servers and then to software that can be implemented for the technical analysis of data mining.
The use of computer applications together with Machine Learning techniques was shown to facilitate accurate diagnosis and therapeutic intervention. These data were visualized with distance map techniques. These did not always correspond to the disability degree. Furthermore, three clusters of functional development were found. The most relevant functional areas were predicted. In addition, the Machine Learning techniques of supervised and unsupervised learning were applied.
The eEarl圜are computer application was developed with the aim of allowing the recording of the results of an evaluation of functional abilities and the interpretation of the results by a comparison with "normal development".
We worked with a sample of 22 users with different degrees of cognitive disability at ages 0–6. The objectives of this study were (1) to develop a computer application that allows the recording of the observational assessment of users aged 0–6 years old with impairment in functional areas and (2) to assess the effectiveness of computer application. In particular, its effectiveness has been proven in the development of personalized therapeutic intervention programs.
The application of Industry 4.0 to the field of Health Sciences facilitates precise diagnosis and therapy determination.
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