Table 1 - available via license: Creative Commons Attribution 4.0 International
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Source publication
Objective: To create awareness on cervical cancer, a level of knowledge about cervical cancer, to be advised of effective screening procedures based on their risk assessment, to educate about preventive measures after screening.Methods: This is a prospective questionnaire-based survey conducted by providing materials such as patient information lea...
Contexts in source publication
Context 1
... of 248 males, 185 (18.5%) were students, 23 (2.3%) were employees, 25 (2.5%) were daily wages, 15 (1.5%) were workers. Among all the population majority of the respondents were students Table 1 Majority of population fall between the age group of 16-20 y i.e. (459) 45.9% followed by 20-30 y 188(18.8%) and least was found in 30-40 y 106 (10.6%). ...
Context 2
... highest population belongs to the age group of 16-20 y as the maximum population included in the study was students. The age group of 20- 30 y consists of 188 members, 106 members belong to the class of 30-40 y, 120 members belong to the age group of 40-50, 117 members belong to the age group of 50-60 and 10 members belong to the age group of 60-70 (table 1). Among 762 females, 38 females are pursuing B. Com and B. Sc., 48 females are pursuing intermediate, 279 members belong to the field of pharmacy and 227 members belong to the engineering background. ...
Citations
... These conventional techniques are defective for the discovery of minute or premalignant lesion which results later in tardy analysis and supplementary surgery. Raman spectroscopy is supposed to have the perspective to pick up the diagnosis of a large number of malignancies, together with a lot of common and lethal cancers [5]. ...
Objective: Identification of biochemical changes in ductal cancer patient’s serum samples using micro Raman spectroscopy.Methods: Micro Raman spectroscopy was used for the identification of Raman shift bands. Data analysis was done using K-means clustering.Results: Micro Raman spectroscopic analysis of human breast cancer patient’s serum samples was done. Biochemicals present in the samples were identified from the peak evaluations. K-means clustering analysis was used to differentiate the biochemicals present in the samples.Conclusion: From the study, we conclude that Raman spectroscopy has the potential to differentiate the biochemical changes occurring in the human body, and the differentiation can be done using K-means clustering.
