Algorithm Diagnosis of Anemia on the basis of the Method of the Synthesis of the Decisive Rules

Uvaliyeva, Indira; Belginova, Saule; Rustamov, Samir; Ismukhamedova, Aigerim

doi:10.1109/aict47866.2019.8981766

Cited by 6 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first diagnostic stage involves determining the existence and intensity of the clinical and hematological syndrome [25]. This is based on the evaluation of the following six rules:…”

Section: Rules For Differential Diagnosis Of Clinical and Hematologic...mentioning

confidence: 99%

Implementation of a Base of Rules for Differential Diagnosis of Clinical and Hematological Syndromes Based on Morphological Classification Algorithm

Uvaliуeva,

Ismukhamedova,

Belginova

et al. 2024

sjaitu

Self Cite

View full text Add to dashboard Cite

The evolving landscape of modern medicine underscores the growing importance of automating diagnostic processes. This advancement is not merely a convenience but a necessity to harness the full potential of technological progress, aiming to elevate research and clinical outcomes to new heights. Among the innovative strides in this field, the development of diagnostic systems based on morphological classification algorithms stands out. Such systems, rooted in comprehensive rule bases for differential diagnosis, promise to revolutionize the way we approach complex medical conditions. This paper introduces a cutting-edge system that epitomizes this evolution. Designed to harness the power of data analysis, it paves the way for groundbreaking research opportunities. At the heart of this system is a sophisticated set of rules derived from a morphological classification algorithm. This foundation enables the system to perform automated diagnoses of a wide array of clinical and hematological syndromes with unprecedented accuracy. A notable application of this technology is its ability to diagnose anemia by analyzing six distinct blood parameters and further categorize the anemia type based on biochemical criteria. The implications of such diagnostic capabilities are profound. By enabling the systematic collection and analysis of statistical data, the system facilitates in-depth research into the prevalence of diseases across different demographic groups. It aids in identifying disease patterns and supports preventive medicine efforts, potentially shifting the paradigm from treatment to prevention. This study not only highlights the system's capacity for enhancing diagnostic precision but also emphasizes its role as a catalyst for medical research and the improvement of healthcare delivery. The integration of such technologies into the medical field promises to enhance the quality of care, streamline diagnostic processes, and open new avenues for medical research, ultimately contributing to the advancement of global health standards.

show abstract

“…The first diagnostic stage involves determining the existence and intensity of the clinical and hematological syndrome [25]. This is based on the evaluation of the following six rules:…”

Section: Rules For Differential Diagnosis Of Clinical and Hematologic...mentioning

confidence: 99%

Implementation of a Base of Rules for Differential Diagnosis of Clinical and Hematological Syndromes Based on Morphological Classification Algorithm

Uvaliуeva,

Ismukhamedova,

Belginova

et al. 2024

sjaitu

Self Cite

View full text Add to dashboard Cite

show abstract

“…Unlike others, research by Tamir et al [27] showing severe anemia, the detection of amenia from the image of the anterior eye, in the noninvasive procedure taken with a smartphone camera that detects conjunctival pallor, gave a result with an accuracy of 78.9%, whereas the results of [25] are more accurate and closer to our results. On the contrary, according to Jayakody and Edirisinghe [28] mobile application for the detection of anemia based on autonomous learning with neural networks entails that the user must answer a questionnaire in which he obtains an approximate result, maintaining the similarity of discard and acceleration with the presented study, unlike the study [29] to determine the morphological classification of anemia based on algorithms that classify the type of sickle cell disease through machine learning generating an average probability of detecting the type and accelerating the diagnosis as in Table 6.…”

Section: Key Performance Indicator (Kpi) 2: "Number Of Diagnoses"mentioning

confidence: 99%

Mobile application for the control process of childhood anemia in time of the pandemic

Mancisidor-Bazán,

Morales-Guillén,

Cabanillas-Carbonell

2023

IJPHS

View full text Add to dashboard Cite

The objective of the research was to implement a mobile application for the control process of childhood anemia in times of pandemic, in order to have better medical control with faster care, better control of the diagnosis of anemia in children, and better performance and satisfaction. The following Scrum method was applied. The research has a quantitative approach, of experimental type. The sample consisted of 40 children. Results were obtained regarding time control in the speed of care, an increase of 10.2% was obtained; regarding the number of diagnoses, control, and follow-up in recovery there was an increase of 33.3% and finally regarding the control of performance and satisfaction with care there was an increase of 73.3%.

show abstract

Realization of Conceptual Model of IT-Infrastructure of Technology of Differential Diagnostics of Clinical and Hematological Syndromes for Health Passport

Uvaliyeva,

Borozenets

2024

2024 IEEE AITU: Digital Generation

View full text Add to dashboard Cite

Algorithm Diagnosis of Anemia on the basis of the Method of the Synthesis of the Decisive Rules

Cited by 6 publications

References 18 publications

Implementation of a Base of Rules for Differential Diagnosis of Clinical and Hematological Syndromes Based on Morphological Classification Algorithm

Implementation of a Base of Rules for Differential Diagnosis of Clinical and Hematological Syndromes Based on Morphological Classification Algorithm

Mobile application for the control process of childhood anemia in time of the pandemic

Realization of Conceptual Model of IT-Infrastructure of Technology of Differential Diagnostics of Clinical and Hematological Syndromes for Health Passport

Contact Info

Product

Resources

About