Identification of Mycobacterium Tuberculosis in Active Smokers with Ziehl–Neelsen Staining Method

Hasanuddin, Asni; Syarif, Jurnal; Artha, Dita Ellyana

doi:10.55299/ijphe.v2i1.204

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…1-2 weeks or more to give results. (Hasanuddin, A., 2022). Diagnosis of tuberculosis based on bacteriological or clinical factors can be grouped according to the anatomical location.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of LSTM and BiLSTM in Image Detection Processing

Subhan Riza,

Yunita,

Rosnelly

2024

JOWUA

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Tuberculosis is an infectious disease and requires serious treatment. Extrapulmonary Tuberculosis is detected using a microscope. Currently it will take a long time because the fluid preparations are viewed in a microscope one by one carefully and in the fluid preparations there are 150 fields of vision. Examination for Extra Pulmonary Tuberculosis by culture takes between 1-2 weeks or even more. Examination by biopsy will take a long time because the fluid preparations are looked at carefully under the microscope one by one. The image of Tuberculosis is expressed if in the image there is a bacillus object in red, and it turns out that apart from the bacillus object there are other objects also in red. So that examinations for tuberculosis can be more efficient, examinations using computer technology are needed. This research aims to compare the Long Short-Term Memory (LSTM) and Bidirectional Long Short-Term Memory (BiLSTM) classification methods in the detection of extra-pulmonary tuberculosis disease to obtain better accuracy results. This research carried out HSI color space transformation, segmentation using global thresholding, feature extraction using 13 features based on shape and texture using the Correlation Based Feature Selection (CFS) feature selection method. The results show that BiLSTM has the best accuracy with a value of 88.40% at the number of features = 3, namely Short Run High Gray-Level Emphasis, Run Length Nonuniformity, Minor axis length, while LSTM produces an accuracy of 63.19% at the number of features = 5. BiLSTM is capable of detecting opposite features, meaning that BiLSTM can detect opposite features in data sequences and BiLSTM's ability to understand multiple contexts, so it tends to provide more accurate results in some data classification tasks.

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“…1-2 weeks or more to give results. (Hasanuddin, A., 2022). Diagnosis of tuberculosis based on bacteriological or clinical factors can be grouped according to the anatomical location.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of LSTM and BiLSTM in Image Detection Processing

Subhan Riza,

Yunita,

Rosnelly

2024

JOWUA

View full text Add to dashboard Cite

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“…A settlement is part of a residential environment that consists of more than one housing unit that has infrastructure, facilities, and public utilities, and supports other functional activities in urban or rural areas. [1]. Environmental sanitation is monitoring environmental factors that can affect human health.…”

Section: Introductionmentioning

confidence: 99%

Relationship Between Clean Water Sources, Waste Management, and Availability of Healthy Latrines with the Incidence of Pulmonary TB in Marginal Community

Hasanuddin,

Alwi,

Dita Ellyana Artha

et al. 2023

Int Jou of PHE

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Pulmonary TB is a disease that can attack anyone because the source of this disease is very broad, especially in the environmental aspect. These environmental aspects include rubbish, clean water sources, and healthy latrines. The incidence of pulmonary TB in the Minasatene Community Health Center working area is still found. This research aims to determine the relationship between waste management, availability of latrines, and clean water sources with the incidence of pulmonary TB in Minasatene District, Pangkajene Islands Regency. This type of research is a quantitative analytical survey with a cross-sectional study design. The sampling technique used in this research was a simple random technique (Simple Random Sampling) with a sample size of 163 respondents. The results of the research are that there is a relationship between waste management and the incidence of diarrhea with a value of p = 0.006, there is a relationship between clean water sources and the incidence of diarrhea with a value of p = 0.000, there is a relationship between the availability of healthy latrines and the incidence of diarrhea with a value of p = 0.000, there is a need to manage community waste through counseling or outreach organized by the government or private sector.

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Identification of Mycobacterium Tuberculosis in Active Smokers with Ziehl–Neelsen Staining Method

Cited by 2 publications

References 11 publications

Comparative Analysis of LSTM and BiLSTM in Image Detection Processing

Comparative Analysis of LSTM and BiLSTM in Image Detection Processing

Relationship Between Clean Water Sources, Waste Management, and Availability of Healthy Latrines with the Incidence of Pulmonary TB in Marginal Community

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