Non-invasive Anemia Detection and Prediagnosis

Simple item page
dc.contributor.authorAiwale, Sen_US
dc.contributor.authorKolte, MTen_US
dc.contributor.authorHarpale, Ven_US
dc.contributor.authorBendre, Ven_US
dc.contributor.authorKhurge, Den_US
dc.contributor.authorBhandari, Sen_US
dc.contributor.authorKadam, Sen_US
dc.contributor.authorMulani, AO.en_US
dc.date.accessioned2025-05-12T10:22:28Z
dc.date.available2025-05-12T10:22:28Z
dc.date.issued2024-12
dc.description.abstractBackground: Anemia is a significant global health concern, often stemming from iron deficiency or deficiencies in folate, vitamins B12, and A. Anemia disproportionately impacts vulnerable populations like children, adolescent girls, and pregnant or postpartum women. Purpose: Anemia is a serious public health issue, impairing productivity, cognitive development, and increasing mortality rates. Anemia is usually detected through blood tests measuring hemoglobin levels, but non-invasive solutions are rquired to lower discomfort, enhance accessibility, and allow for regular monitoring. These methods are essential for early detection in vulnerable populations. Methodology: The research methodology involves extracting valuable information from nail images using data mining algorithms. The focus is on calculating the percentage of blue- and red-stained cells within specific regions of interest in the nail images. Machine-learning algorithms are employed to transform these data into actionable insights for disease diagnosis. Results: The system demonstrates effectiveness in accurately detecting anemia and providing prediagnosis reports to health- care providers. The reports include comprehensive information such as patient symptoms, health history, test results, and the doctor’s preliminary assessment. This aids in timely and accurate treatment decisions. Conclusion: This research showcases the potential of image processing and machine learning in improving anemia diagnosis and facilitating personalized healthcare interventions.en_US
dc.identifier.affiliationsDepartment of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, Indiaen_US
dc.identifier.affiliationsDepartment of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, Indiaen_US
dc.identifier.affiliationsDepartment of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, Indiaen_US
dc.identifier.affiliationsDepartment of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, Indiaen_US
dc.identifier.affiliationsDepartment of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, Indiaen_US
dc.identifier.affiliationsDepartment of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, Indiaen_US
dc.identifier.affiliationsDepartment of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, Indiaen_US
dc.identifier.affiliationsDepartment of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, Indiaen_US
dc.identifier.citationAiwale S, Kolte MT, Harpale V, Bendre V, Khurge D, Bhandari S, Kadam S, Mulani AO. . Non-invasive Anemia Detection and Prediagnosis. Journal of Pharmacology and Pharmacotherapeutics. 2024 Dec; 15(4): 408-416en_US
dc.identifier.issn0976-500X
dc.identifier.issn0976-5018
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/247672
dc.languageenen_US
dc.publisherSage Publications India Pvt. Ltd.en_US
dc.relation.issuenumber4en_US
dc.relation.volume15en_US
dc.source.urihttps://doi.org/10.1177/0976500X241276307en_US
dc.subjectAnemiaen_US
dc.subjectdisease detectionen_US
dc.subjectExpert System for Disease Diagnosis (ESDD)en_US
dc.subjectnon-invasiveen_US
dc.subjectprediagnosisen_US
dc.subjectWorld Health Organization (WHO)en_US
dc.titleNon-invasive Anemia Detection and Prediagnosisen_US
dc.typeJournal Articleen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
jpp2024v15n4p408.pdf
Size:
1.67 MB
Format:
Adobe Portable Document Format
Download
Collections
Journal of Pharmacology and Pharmacotherapeutics