Integrated Vocal Deviation Index (IVDI): A Machine Learning Model to Classifier of the General Grade of Vocal Deviation.

Objective: To develop a multiparametric index based on machine learning (ML) to predict and classify the overall degree of vocal deviation (GG).

Method: The sample consisted of 300 dysphonic and non-dysphonic participants of both sexes. Two speech tasks were sustained vowel [a] and connected speech (counting numbers from 1 to 10).

Spectrographic Voice Analysis Protocol (SAP): Convergent, Concurrent, and Accuracy Validity.

Objective: To verify the convergent and concurrent validity of the Spectrographic Voice Analysis Protocol (SAP) and its accuracy to discriminate dysphonic from nondysphonic patients.

Method: The study used 82 vowel /Ɛ/ samples and their respective narrowband spectrograms, analyzed with SAP. Cepstral peak prominence (CPP) and cepstral peak prominence smoothed (CPPS) verified the convergent validity of the SAP total score, while the general grade of vocal deviation (GG) verified the concurrent validity of the SAP total score.

Relationship between microcephaly and indicators of social inequality in the state of Paraíba, Brazil.

Objective: • Seventy-four (33.18%) municipalities in the state of Paraíba registered live births with microcephaly. • The highest proportion of cases (23.

Swallowing disorders and associated factors in older adults living in nursing homes.

Purpose: The aim of this study was to identify the frequency of swallowing disorders and the associated factors in older adults living in nursing homes.

Methods: This is a cross-sectional study with a sample of 73 older adults (≥ 60 years; mean age = 80 ± 7.49 years; female = 82.

Severe Oral Mucositis in Pediatric Cancer Patients: Survival Analysis and Predictive Factors.

This paper investigates the occurrence of severe oral mucositis and associated factors in blood and solid cancer pediatric patients subjected to cancer treatment, using a survival analysis. A longitudinal, descriptive, observational and inductive study of 142 pediatric patients aged from 0 to 19 years was conducted from 2013 to 2017. Data were collected using a form to record the sociodemographic characteristics and health-related aspects of patients and the modified Oral Assessment Guide (OAG).