Danilo Notar Francesco
University of Naples Federico II
6 Papers
10 Citations
Danilo Notar Francesco is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Medicine & Schizophrenia (object-oriented programming). The author has an hindex of 3, co-authored 4 publications.
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Papers
Disease Severity in Treatment Resistant Schizophrenia Patients Is Mainly Affected by Negative Symptoms, Which Mediate the Effects of Cognitive Dysfunctions and Neurological Soft Signs.
Felice Iasevoli,Camilla Avagliano,Benedetta Altavilla,Annarita Barone,Luigi D’Ambrosio,Marta Matrone,Danilo Notar Francesco,Eugenio Razzino,Andrea de Bartolomeis +8 more
TL;DR: Results show that determinants of disease severity sharply differ in TRS and non-TRS patients, and let hypothesize that TRS may stem from cognitive disfunctions and putatively neurodevelopmental aberrations.
Evaluation of a few discrete clinical markers may predict categorization of actively symptomatic non-acute schizophrenia patients as treatment resistant or responders: A study by ROC curve analysis and multivariate analyses.
Felice Iasevoli,Camilla Avagliano,Benedetta Altavilla,Annarita Barone,Mariateresa Ciccarelli,Luigi D’Ambrosio,Danilo Notar Francesco,Eugenio Razzino,Michele Fornaro,Andrea de Bartolomeis +9 more
TL;DR: It is concluded that the evaluation of few clinical factors may provide reliable and accurate predictions on whether one schizophrenia patient may be categorized as a TRS.
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Disorganization domain as a putative predictor of Treatment Resistant Schizophrenia (TRS) diagnosis: A machine learning approach.
Annarita Barone,M. De Prisco,Benedetta Altavilla,Camilla Avagliano,Raffaele Balletta,Elisabetta F. Buonaguro,Mariateresa Ciccarelli,Luigi D’Ambrosio,Sara Giordano,Gianmarco Latte,Marta Matrone,Federica Milandri,Danilo Notar Francesco,Licia Vellucci,Andrea de Bartolomeis +14 more
TL;DR: In this paper , a random forest algorithm was trained to analyze the relationship between the presence/absence of TRS and PANSS-based psychopathological factor scores (positive, negative, disorganization, excitement, and emotional distress).
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Clinical evaluation of functional capacity in treatment resistant schizophrenia patients: Comparison and differences with non-resistant schizophrenia patients.
Felice Iasevoli,Luigi D’Ambrosio,Danilo Notar Francesco,Eugenio Razzino,Elisabetta F. Buonaguro,Sara Giordano,Thomas L. Patterson,Andrea de Bartolomeis +7 more
TL;DR: A limited and independent group of candidate predictors are delineated to be putatively accounted for therapeutic interventions to improve functional capacity, and possibly social functioning, in TRS patients.