Sita Chatterjee
Memorial Hospital of South Bend
10 Papers
20 Citations
Sita Chatterjee is an academic researcher from Memorial Hospital of South Bend. The author has contributed to research in topics: Medicine & Space (mathematics). The author has an hindex of 3, co-authored 9 publications.
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Papers
•Journal Article
Correlates of Anaemia and Worm Infestation among Rural Pregnant Women: A Cross Sectional Study from Bengal -
TL;DR: The study showed that certain protective factors like diet and personal hygiene if addressed at the time of antenatal checkup can reduce the number of cases of anemia significantly.
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Inhomogeneous model with a cosmological constant.
TL;DR: It is observed that the presence of inhomogeneity drastically changes the evolutionary scenario such that the 6ve-dimensional spacetime admits inflation in three-space and dimensional reduction of the extra space.
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•Journal Article
Knowledge of HIV/AIDS among Patients Attending General Out Patient Department of a Tertiary Care Hospital of Kolkata -
Mausumi Basu,Sita Chatterjee,Debasish Sinha,Bobby Pal,Sinjita Dutta,Palash Das,Basu M,S. Chatterjee,Debasis Sinha,Bikash Pal,Somaditya Dutta +10 more
TL;DR: Assessment of the knowledge about HIV/AIDS among the people attending general OPD in a Tertiary Care Hospital of Kolkata finds that unsafe sex, infected needle sharing, and contaminated blood transfusion were possible ways of transmission.
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Depression, Anxiety, Stress among nursing students of Kolkata: a cross sectional study
Mausumi Basu,Debasis Sinha,Afifa Ahamed,Sita Chatterjee,Raghunath Misra +4 more
- 15 Feb 2021
TL;DR: In this paper, an Institution based observational descriptive cross sectional study was carried out at School of Nursing of a tertiary care Government teaching hospital of Kolkata from April 2016 to May among 129 students using DASS 21 point scale.
Prediction of Glaucoma Using Deep Learning Based Approaches
Tiyasha Dhara,Arpan Adhikary,Koushik Majumder,Sita Chatterjee,Rabindra Nath Shaw,Ankush Ghosh +5 more
TL;DR: In this article , the authors have taken a handwritten dataset from Kaggle which consists of the glaucomatous eye and healthy normal eye and applied VGG19, Xception which is a CNN architecture to achieve the model's performance in terms of sensitivity, specificity, accuracy and F1 score.
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