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1.
PLoS One ; 17(5): e0268329, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35551276

RESUMEN

Given the increasing prevalence of lung cancer worldwide, an auxiliary diagnostic method is needed alongside the microscopic examination of biopsy samples, which is dependent on the skills and experience of pathologists. Thus, this study aimed to advance lung cancer diagnosis by developing five (5) artificial neural network (NN) models that can discriminate malignant from benign samples based on infrared spectral data of lung tumors (n = 122; 56 malignant, 66 benign). NNs were benchmarked with classical machine learning (CML) models. Stratified 10-fold cross-validation was performed to evaluate the NN models, and the performance metrics-area under the curve (AUC), accuracy (ACC) positive predictive value (PPV), negative predictive value (NPV), specificity rate (SR), and recall rate (RR)-were averaged for comparison. All NNs were able to outperform the CML models, however, support vector machine is relatively comparable to NNs. Among the NNs, CNN performed best with an AUC of 92.28% ± 7.36%, ACC of 98.45% ± 1.72%, PPV of 96.62% ± 2.30%, NPV of 90.50% ± 11.92%, SR of 96.01% ± 3.09%, and RR of 89.21% ± 12.93%. In conclusion, NNs can be potentially used as a computational tool in lung cancer diagnosis based on infrared spectroscopy of lung tissues.


Asunto(s)
Neoplasias Encefálicas , Neoplasias Pulmonares , Área Bajo la Curva , Humanos , Neoplasias Pulmonares/diagnóstico , Aprendizaje Automático , Redes Neurales de la Computación , Espectrofotometría Infrarroja
2.
Sci Rep ; 11(1): 7796, 2021 04 08.
Artículo en Inglés | MEDLINE | ID: mdl-33833348

RESUMEN

The prevalence of HIV among young Thai men stabilized at 0.5% from 2005 to 2011. A cross-sectional study was conducted among the male army conscripts in 2018 at 36 military training units nationwide. All new conscripts in each selected unit were invited to participate in the study. Questionnaires were used to determine risk factors to HIV infection that had been developed from related risk factors studies among young Thai men. Among 4629 participants, 44 (1.0%) HIV positive individuals were identified. The proportion subject reporting a history of sex with another man was 10.1%. The prevalence of HIV infection among men who have sex with men (MSM) was 4.0%. The proportion of consistent condom use with a male partner was 39.7%. The risk factors of HIV infection included having sex with another man, history of sexually transmitted infection and history of sex in exchange for gifts/money. Only 1.4% of MSM used pre-exposure prophylaxis (PrEP). HIV prevention programs including PrEP in Thailand should be emphasized among MSM in both rural and urban settings.


Asunto(s)
Infecciones por VIH/epidemiología , Personal Militar/estadística & datos numéricos , Adulto , Estudios Transversales , Homosexualidad Masculina , Humanos , Masculino , Profilaxis Pre-Exposición , Prevalencia , Factores de Riesgo , Conducta Sexual/estadística & datos numéricos , Encuestas y Cuestionarios , Tailandia/epidemiología , Adulto Joven
3.
PLoS One ; 15(8): e0237649, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32797118

RESUMEN

INTRODUCTION: Understanding the current epidemiology of human immunodeficiency virus (HIV) infection in Thailand will facilitate more effective national HIV prevention programs. This study aimed to determine the prevalence and risk factors for HIV infection among young Thai men. METHODS: A total survey was conducted of Royal Thai Army new conscripts, participating in the national HIV surveillance in November 2010 and May 2011. Behavioral risk factors for HIV infection were determined using a standardized survey questionnaire in the total study population and men who have sex with men (MSM) subgroup. RESULTS: A total of 301 (0.5%) HIV infected young Thai men were identified from the total study population (63,667). Independent risk factors associated with HIV infection among the total study population included being single (adjusted Odds Ratio [AOR] 1.6, 95% Confidence Interval [CI] 1.1-2.2), having no formal education (AOR 6.5, 95% CI 2.3-18.4) or a bachelor's degree (AOR 1. 8, 95% CI 1.0-3.0), engaging in bisexual (AOR 3.7, 95% CI 2.4-5. 6) or exclusively homosexual activity (AOR 14.4, 95% CI 10.4-19.8), having a history of Sexually Transmitted Infection (STI) (AOR 2.3, 95% CI 1.6-3.3) and having sex in exchange for gifts/money (AOR 2.0, 95% CI 1. 5-2.8). A total of 4,594 (7.9%) MSM were identified, of which 121 (2.6%) were HIV infected. The prevalence of HIV infection among MSM in urban (2.8%) and rural (2.4%) areas were relatively comparable (p-value = 0.44). Of the identified MSM, 82.5% reported having sexual desire with females only. Risk factors associated with HIV infection in the MSM subgroup included living in the western region (AOR 3.5, 95% CI 1.2-10.4), having a bachelor's degree (AOR 2.7, 95% CI 1.2-5.7), having a history of exclusive receptive (AOR 3.6, 95% CI 1.6-7.7) or versatile anal sex (AOR 4.7, 95% CI 3.0-7.5) and history of having sex in exchange for gifts/money (AOR 2.3, 95% CI 1.5-3.5). CONCLUSION: The prevalence of HIV infection among young Thai men has continued to be below 0.5% in 2010 and 2011. High risk sexual activity, including MSM, played a major role in the HIV epidemic among this population. Effective HIV prevention programs should cover MSM who have heterosexual desire as well as having sex in exchange for gifts/money and be implemented in both urban and rural areas.


Asunto(s)
Infecciones por VIH/epidemiología , Adulto , Bisexualidad , Escolaridad , Homosexualidad Masculina , Humanos , Masculino , Prevalencia , Factores de Riesgo , Factores Sexuales , Conducta Sexual , Parejas Sexuales , Enfermedades de Transmisión Sexual/epidemiología , Tailandia/epidemiología , Adulto Joven
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