ABSTRACT
Investigation of the biological sex of human remains is a crucial aspect of physical anthropology. However, due to varying states of skeletal preservation, multiple approaches and structures of interest need to be explored. This research aims to investigate the potential use of distances between bifrontal breadth (FMB), infraorbital foramina distance (IOD), nasal breadth (NLB), inter-canine width (ICD), and distance between mental foramina (MFD) for combined sex prediction through traditional statistical methods and through open-access machine-learning tools. Ethical approval was obtained from the ethics committee, and out of 100 cone beam computed tomography (CBCT) scans, 54 individuals were selected with all the points visible. Ten extra exams were chosen to test the predictors developed from the learning sample. Descriptive analysis of measurements, standard deviation, and standard error were obtained. T-student and Mann-Whitney tests were utilized to assess the sex differences within the variables. A logistic regression equation was developed and tested for the investigation of the biological sex as well as decision trees, random forest, and artificial neural networks machine-learning models. The results indicate a strong correlation between the measurements and the sex of individuals. When combined, the measurements were able to predict sex using a regression formula or machine learning based models which can be exported and added to software or webpages. Considering the methods, the estimations showed an accuracy rate superior to 80% for males and 82% for females. All skulls in the test sample were accurately predicted by both statistical and machine-learning models. This exploratory study successfully established a correlation between facial measurements and the sex of individuals, validating the prediction potential of machine learning, augmenting the investigative tools available to experts with a high differentiation potential.
ABSTRACT
A Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde (CID) é uma forma globalmente padronizada para fornecer informações cruciais sobre as doenças, suas causas e consequências, colaborando para criar políticas de saúde e laborais. Porém, sua divulgação compulsória por parte de profissionais da saúde pode expor o empregado e sua privacidade. Neste contexto, o objetivo desse trabalho é analisar as decisões publicadas nos últimos dez anos, julgadas em última instância pelo Tribunal Superior do Trabalho (TST) e o entendimento dos magistrados sobre o assunto, as leis utilizadas no embasamento e a distribuição dos processos com esse teor. Foi realizada uma pesquisa no site do TST com os termos "exigência" "CID" "atestado" "médico" entre os anos de 2012 e 2022. Foram encontradas 18 decisões, 94% delas das regiões Sul e Sudeste do país. Quase 70% são desfavoráveis à exigência da CID em atestados, tendo como base a Constituição Federal (CF), resoluções do Conselho Federal de Medicina (CFM) e o Código Civil (CC). Conclui-se que as decisões relacionadas à exigência do código da CID estão concentradas em tribunais do Sul e do Sudeste, sendo os anos entre 2015 e 2019 com o maior número de ocorrências. Há uma predominância pela não exigência do código da CID em 12 das 18 decisões, sendo o argumento mais utilizado o sigilo e privacidade garantidos pela CF e Códigos de Ética Médica e de Ética Odontológica. As que se mostraram a favor predominantemente citam a súmula 122 do TST
International Statistical Classification of Diseases and Health Related Problems (ICD) is the global standard for diagnostic health information, providing key information about diseases, their causes, and consequences, leading to improvement on public and labor health. Its disclosure may expose employers when required by employers. Based on this context, the aim of this study is to analyze decisions law decisions and judgments reports from the Federal Labor Court between 2012 and 2022, the understanding of judges on the subject, the basis and distribution of decisions in this matter. Research was conducted on Superior Labor Court of Brazil website, using the keywords in Portuguese "requirement", "ICD", "statement" and "medical" between 2012 and 2022. It was found 18 judgments, 94% from South and Southeast of Brazil. Almost 70% of them were against the requirement of ICD code in medical statement, basing their decisions on our Federal Constitution (FC), resolutions of the Federal Medical Council (FMC) and Civil Code (CC). In conclusion, the Brazilian Law understands that the employee's privacy when seeking for medical help is above the employer's requirement. It is believed the new General Data Protection Law (GDPL) may reinforce this common Legal Knowledge and help footing new orders
