[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120183-en":3,"doc-seo-120183-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},120183,1099514068035,"Ezra","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",7,"Healthcare","Identifying Early Anemia Using Machine Learning Algorithm - Abstract and Introduction","Study investigates the relationship between Interleukin-6 (IL6) and Interleukin-8 (IL8) cytokines and auto-immune reactions in Sickle Cell Anemia (SCA) patients, aiming to predict presence using genetic factors such as Haptoglobin alleles with artificial neural networks. Using 60 SCA patients and 74 healthy individuals, results show a significant association between Haptoglobin alleles and IL6/IL8 production, with 90.9% accuracy and r-squared of 0.88. The work frames anemia as a global health burden, emphasizing non-invasive machine/deep learning approaches, including CNNs for blood analysis, to support early diagnosis and treatment.","Identifying Early Anemia Using Machine Learning  \nAlgorithm  \nInternational Journal of Advanced Scientific Innovation Volume 06 Issue 08, August 2024  \nISSN: 2582-8436  \nShilpa Priya  \nM.Tech Student Dept of CSE, SIET, Tumkur [kavya26feb@gmail.com](kavya26feb@gmail.com)  \nDr. Basavesha D  \nAssociate Professor Dept of CSE, SIET, Tumkur [basavesha@gmail.com](basavesha@gmail.com)  \nDr. Girish L  \nAssociate Professor Dept of AI&DS, SIET, Tumkur [girishltumkur@gmail.com](girishltumkur@gmail.com)  \nAbstract  \nThis study explores the relationship between between Interleukin-6 (IL6) and Interleukin-8 (IL8) cytokines and auto-immune reactions in Sickle Cell Anemia (SCA) patients, aiming to predict their presence based on genetic factors like Haptoglobin alleles using artificial neural networks. The study, conducted on 60 SCA patients and 74 healthy individuals, found a significant association between Haptoglobin alleles and IL6/IL8 production, achieving an accuracy of 90.9% and an r-squared value of 0.88. Concurrently, the broader context of anemia as a global health issue, particularly affecting mothersand children, underscores the importance of non-invasive detection methods,like those based on machine learning and deep learning techniques. These methods, exemplified by convolutional neural networks (CNNs) in blood analysis, offer efficient and cost-effective avenues for early diagnosis and treatment of anemia, highlighting the pivotal role of artificial intelligence in healthcare advancements.  \nI. INTRODUCTION  \nA reduction in hemoglobin concentration is indicative of anemia below a specified threshold, which varies based on factors such as gender, age, and physiologicall condition, smoking habits, and altitude of the population under evaluation. Current recommendations suggest hemoglobin cut-offs ranging 11.6 to 12.3 g/dl in women and 13 to 14.2 g/dl in males. Severe anemia often stems from trauma, undernourishment, parasite diseases, or underlying medical conditions or medical conditions like gastrointestinal bleeding. In emergency settings like the ER, acute blood loss from conditions such as trauma or gastrointestinal bleeding can lead to severe anemia, necessitating swift identification and restoration of blood volume to prevent hemorrhagic shock and potential fatalities. Classic symptoms of anemia include fatigue, shortness of breath, pale mucous membranes, and resting tachycardia. Prior studies have indicated that hemoglobin is capable of absorbing green light. and reflects red light, influencing tissue coloration. [1]  \nThe comparative study on machine learning algorithms for detecting iron deficiency anemia revealed significant  \nFig. 1. Sample Anemia Blood Structure  \nadvancements in the accuracy and efficiency of anemia detection through the utilization of medical images. By analyzing palpable palm images from Ghana, the authors demonstrated the capabilities of artificial intelligence models in aiding healthcare professionals in diagnosing anemia. The study showcased the importance of data collection and algorithm analysis, including input from several authors focusing on different aspects of the research. The datasets employed inside the inquiry were made publicly available on the Mendeley Data repository, ensuring transparency and reproducibility in the scientific community. Overall, the findings suggest a promising future for the incorporation of machine learning and medical imaging technologies in improving the diagnosis and management of anemia. [2]  \nDiabetes, renal syndrome, cancer, HIV/AIDS, inflammatory bowel disease, and cardiovascular disease are among the illnesses associated with the complex prevalence of anaemia. Other significant causes include hemoglobinopathies, bilharzia, and malaria [8,9] . Iron deficiency, sickle cell disease, thalassaemia, aplastic anaemia, and vitamin or iron deficiency are only a few of the different types of anaemia that exist. There are numerous causes for every form of anaemia, ","cbCaidbXlPzg34az","https://ap.wps.com/l/cbCaidbXlPzg34az","pdf",206780,1,5,"English","en",105,"# Abstract\n## Introduction\n## Anemia definition and clinical importance\n## Machine learning approaches for anemia detection\n## Types and causes of anemia\n## WHO definition and hemoglobin thresholds","[{\"question\":\"What cytokines and genetic factors are used to predict Sickle Cell Anemia in the study?\",\"answer\":\"The study examines Interleukin-6 (IL6) and Interleukin-8 (IL8) and predicts their presence using genetic factors such as Haptoglobin alleles.\"},{\"question\":\"How many participants were involved, and what performance results were reported?\",\"answer\":\"The study uses 60 SCA patients and 74 healthy individuals, reporting 90.9% accuracy and an r-squared value of 0.88.\"},{\"question\":\"Why is early anemia detection considered important in this document?\",\"answer\":\"Anemia is described as a widespread global health issue linked to low hemoglobin or red blood cell levels, and timely identification is emphasized to enable rapid intervention, especially in emergency contexts.\"}]","Identifying Early Anemia Using Machine Learning Algorithm - Abstract and Introduction | PDF",1785728591,13,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"identifying-early-anemia-using-machine-learning-algorithm-abstract-and-introduction","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/healthcare/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/identifying-early-anemia-using-machine-learning-algorithm-abstract-and-introduction/120183/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What cytokines and genetic factors are used to predict Sickle Cell Anemia in the study?","Question",{"text":75,"@type":76},"The study examines Interleukin-6 (IL6) and Interleukin-8 (IL8) and predicts their presence using genetic factors such as Haptoglobin alleles.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How many participants were involved, and what performance results were reported?",{"text":80,"@type":76},"The study uses 60 SCA patients and 74 healthy individuals, reporting 90.9% accuracy and an r-squared value of 0.88.",{"name":82,"@type":73,"acceptedAnswer":83},"Why is early anemia detection considered important in this document?",{"text":84,"@type":76},"Anemia is described as a widespread global health issue linked to low hemoglobin or red blood cell levels, and timely identification is emphasized to enable rapid intervention, especially in emergency contexts.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,109,114,117,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":106,"show_sort_weight":107,"slug":108},"Comic",60,"comic",{"id":110,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},6,"Technology",50,"technology",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":115,"slug":116},40,"healthcare",{"id":118,"doc_module":4,"doc_module_name":46,"category_name":119,"show_sort_weight":120,"slug":121},8,"Research & Report",30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":21,"slug":137},19,"General","general"]