The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Comprehensive FemTech Solution for Feminine Health
Abstract
A biological indicator that foretells women’s general health is the menstrual cycle. For this project, the objective is to create a femtech platform where women can open up about their menstrual health. With features like a cycle tracker, PCOD detection, product awareness, Knowledge chapters, and doctor consultation, MonAmie presents an approach to raising general awareness about menstruation. This paper contains comparisons among Machine Learning algorithms which are used in the product, as well as the findings of MonAmie are discussed.
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Nine included studies mention the use of machine learning [63,64,65,66,67,76,87,88,89] (Supplementary File S3).”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [64]
In the citing paper
“Most of them were published in 2023 (n = 5) [63,64,65,76,87], while two were published in 2022 [88,89], and one each in 2021 [66] and 2020 [67].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [64]
In the citing paper
“The majority of these studies originated from India (n = 5) [63,64,65,66,88], while three originated from the USA (n = 3) [67,87,89], and one from New Zealand [76].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [64]
In the citing paper
“The latter used follicular fluid samples, while other studies using patient data reported an accuracy of 90.44% [65], 92.45% [63], and 98.41% [64].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [64]
In the citing paper
“Finally, our results also highlight how machine learning can play a role as a diagnostic aid [87], and how it can be incorporated into apps capable of further supporting the patient by providing exercise and fitness advice [64] or even a chatbot function [65].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [64]
Citations
Cites
Menstrual hygiene management among adolescent girls in India: a systematic review and meta-analysis
van Eijk, A. M., Sivakami, M., Thakkar, M. B., Bauman, A., Laserson, K. F., Coates, S., & Phillips-Howard, P. A. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-010290 · Cited by 471
Research works printed but not linked: 19
- 10.4103/jfmpc.jfmpc_80_18 · DOI
- 10.1371/journal.pone.0223923 · DOI
- 10.9790/0853-1606051116 · DOI
- 10.2139/ssrn.3795881 · DOI
- 10.1080/19371918.2010.525144 · DOI · Paper page
- 10.4103/0970-0218.40872 · DOI · Paper page
- VR, 2015, A study of the menstrual pattern and problems among rural school going adolescent girls of Amravati district of Maharashtra, India. Int J Res Med Sci, 3, 1252, 10.5455/2320-6012.ijrms20150539 · DOI
- 10.1155/2020/2192387 · DOI
- 10.1109/tensymp54529.2022.9864398 · DOI
- 10.1088/1742-6596/1187/5/052103 · DOI
- 10.1007/s41066-017-0049-2 · DOI
- 10.3126/nje.v11i3.38460 · DOI
- KD, 2015, A descriptive study of Polycystic ovarian syndrome in adolescent girls among a tertiary care hospital of Bangalore, Indian J Basic Applied Med Res, 4, 453
- 10.1155/2015/158951 · DOI
- 10.5958/2454-2660.2016.00031.4 · DOI
- 10.1055/s-0040-1708657 · DOI
- 10.1177/17455057221095246 · DOI
- 10.1109/icssit53264.2022.9716564 · DOI
- 10.36106/ijsr/5416514 · DOI
Cited by
Sorted by citations
Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review
Graca, S., Alloh, F., Lagojda, L., Dallaway, A., Kyrou, I., Randeva, H. S., & Kite, C. (2024) · Healthcare · doi:10.3390/healthcare12161671 · Cited by 14
Metadata
- Authors
- Jeswani, N., Jain, N., Sharma, A., & Roychowdhury, S.
- Affiliations
- VESIT,Information Technology
- Venue
- 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)
- Publisher
- IEEE
- Published
- 2023-05-25
- Pages
- 1-6
- OpenAlex
- W4383748060
- Cited by
- 5
- References
- 1
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1
- FWCI
- 13.09
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT) (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Menstrual Health and Disorders
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- FemTech, menstrual health, menstrual cycle tracking, women's health awareness, physician consultation, machine learning algorithm comparison
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