The SPECTRA project aims at supporting the clinician in the detection of patients suffering from a specific subclass of Schizophrenia (SZ), classified as Treatment Resistant Schizophrenia (TRS) patients. This kind of SZ patients are difficult to diagnose and have enormous difficulty. Early diagnosis may improve their quality of life. In this paper, we describe the results of our study on the identification of the typology of biomedical data that should be considered for training machine learning algorithms for the classification of TRS/nonTRS patients suffering from schizophrenia.
The SPECTRA Project: Biomedical Data for Supporting the Detection of Treatment Resistant Schizophrenia
Francese R.
;
2024
Abstract
The SPECTRA project aims at supporting the clinician in the detection of patients suffering from a specific subclass of Schizophrenia (SZ), classified as Treatment Resistant Schizophrenia (TRS) patients. This kind of SZ patients are difficult to diagnose and have enormous difficulty. Early diagnosis may improve their quality of life. In this paper, we describe the results of our study on the identification of the typology of biomedical data that should be considered for training machine learning algorithms for the classification of TRS/nonTRS patients suffering from schizophrenia.File in questo prodotto:
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