Anorectal Malformations: The Earlier the Diagnosis, the Better the Outcome

Reddy, Manasa; Tank, Nilesh; Bawa, Monika; Kanojia, Ravi P.; Samujh, Ram

doi:10.1007/s12098-021-03887-2

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…(15) En su mayoría las malformaciones son identificadas al momento del nacimiento, debido a que en la actualidad aún resulta complejo diagnosticarlas en un periodo prenatal, no obstante, las ecografías 3D pueden orientarnos y alertarnos sobre alguna anomalía debido a cambios en la estructura anatómica normal como es el caso de la dilatación del intestino en su porción distal lo cual sugiere una malformación. (16,17) Por tal motivo Reddy et al (18) mencionan que una malformación anorrectal que no ha sido identificada en un lapso de 48 horas posterior al nacimiento incrementa exponencialmente el riesgo de mortalidad, de tal modo resulta de gran importancia una https://doi.org/10.56048/MQR20225. 7.3.2023.1702-1722 Vol.…”

Section: Discussionunclassified

Atresia anal con fistula: reporte de caso clínico.

Bravo-Piedra,

Herrera-Jaramillo

2023

MQRInvestigar

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INTRODUCCION: La Atresia Anal es una malformación anorrectal, el cual es identificado en el examen físico al momento del nacimiento en la cual se destaca la ausencia del ano, se estima que su incidencia esta alrededor de 1 de cada 5000 nacimientos, en cuanto a su manejo se considera de carácter urgente la intervención quirúrgica con la finalidad de evitar complicaciones que aumenten el riesgo de mortalidad el cual el éxito de la misma se valorara con el transcurso de los años. CASO CLINICO: Paciente Masculino recién nacido en hospital básico quien posterior a examen físico se le diagnostica ano imperforado más fistula es referido a hospital de tercer nivel en donde tras exámenes complementarios se encuentran alteraciones cardiacas que incrementaron el riesgo de mortalidad del paciente lo cual tras varios días de hospitalización con mala evolución provoco la muerte inminente del paciente. CONCLUSION: El ano imperforado es una patología que en la mayoría de los casos se acompaña de alteraciones cardiacas o renales, lo cual provocara un incremento en el riesgo de mortalidad de estos pacientes, por tal motivo es necesaria la prioridad quirúrgica en su patología de base con la finalidad de incrementar la esperanza de vida, por consiguiente, es necesario el seguimiento adecuado en estos cuadros clínicos proporcionando el apoyo necesario para la familia y el paciente.

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Section: Discussionunclassified

Atresia anal con fistula: reporte de caso clínico.

Bravo-Piedra,

Herrera-Jaramillo

2023

MQRInvestigar

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“…Also, due to human and healthcare operations errors, various treatments that experts and doctors accomplish might not be effective enough, and timeliness is also costly. 4 Misdiagnosis leads to incorrect treatments, which causes the patients to lose the best time for treatment, which will prompt drastic results (Reddy et al, 2022). As a result, selecting a framework to predict the nature of the breast tumor and categorizing it as benign or malignant is of utmost importance.…”

Section: Introductionmentioning

confidence: 99%

Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis

2022

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In recent decades, breast cancer has become one of the leading causes of mortality among women. This disease is not preventable because of its unknown causes; however, its early diagnosis increases patients' recovery chances. Machine learning (ML) can be utilized to improve treatment outcomes in healthcare operations while diminishing costs and time. In this research, we suggest two novel feature selection (FS) methods based upon an imperialist competitive algorithm (ICA) and a bat algorithm (BA) and their combination with ML algorithms. This study aims to enhance diagnostic models' efficiency and present a comprehensive analysis to help clinical physicians make more precise and reliable decisions. K-nearest neighbors (KNN), support vector machine (SVM), decision tree (DT), Naive Bayes, AdaBoost (AB), linear discriminant analysis (LDA), random forest (RF), logistic regression (LR), and artificial neural network (ANN) are some of the methods employed. Sensitivity, accuracy, precision, mean absolute error F-score, root mean square error, Kappa, and relative absolute error calculated the performance of the methods. This paper applied a distinctive integration of evaluation measures and ML algorithms using the wrapper feature selection based on ICA (WFSIC) and BA (WFSB) separately. We compared two proposed approaches for the performance of the classifiers. Also, we compared our best diagnostic model with previous works reported in the literature survey. Experimentations were performed on the Wisconsin diagnostic breast cancer (WDBC) dataset. Results reveal that the proposed framework that uses the BA with an accuracy of 99.12% surpasses the framework using the ICA and most previous works. Additionally, the RF classifier in the approach of FS based on BA emerges as the best model and outperforms others regarding its criteria. Besides, the results illustrate the role of our techniques in reducing the dataset dimensions up to 90% and increasing the performance of diagnostic models by over 99%. Moreover, the result demonstrates that there are more critical features than the optimum dataset obtained by proposed FS approaches that have been selected by most ML models, including the standard error of area, concavity, smoothness, perimeter, the worst of texture, compactness, radius, symmetry, smoothness, concavity, and the mean of concave points, fractal dimension, compactness, concavity that B Ali Ghodratnama

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Fine-Tuning the Duration of Antibiotic Therapy for Neonatal Sepsis

Ballambattu

2022

Indian J Pediatr

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Anorectal Malformations: The Earlier the Diagnosis, the Better the Outcome

Cited by 8 publications

References 14 publications

Atresia anal con fistula: reporte de caso clínico.

Atresia anal con fistula: reporte de caso clínico.

Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis

Fine-Tuning the Duration of Antibiotic Therapy for Neonatal Sepsis

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