Clinical malaria diagnosis: rule-based classification statistical prototype

Bbosa, Francis Fuller; Wesonga, Ronald; Jehopio, Peter

doi:10.1186/s40064-016-2628-0

Cited by 10 publications

(6 citation statements)

References 27 publications

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“…The result in Table 2 Similarly showed the gender-based description for the haematological properties, this analytical model was able to efficiently categorize the genders based on the retribution estimate method as further indicated in Fig. 1 and as described by Bbosa et al 12 and Everitt and Palmer 13 . This shows that the model is better at predicting malaria infection than diagnosis based only on clinical signs and symptoms.…”

Section: Resultssupporting

confidence: 56%

Evaluation of Differential Analytic Model as a Tool for the Diagnosis of Malaria Infection

Ndako¹,

Junaid²,

Ozoadibe³

et al. 2023

J. of Applied Sciences

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Background and Objective: Malaria is a life-threatening parasitic disease that is entirely preventable and curable but considered as one of the main diagnoses of acute febrile illness in the tropics. Alteration of various haematological parameters has been observed among patients with malaria parasite infection. Analytic models are used to provide an explicit framework for understanding accurate malaria diagnosis in the human population. It is therefore necessary to make a critical assessment of the predictive differential model for accurate diagnosis. Materials and Methods: Blood samples were collected from volunteer subjects using the standard method. These were analyzed and evaluated using an automated haematology analyzer. Results: The Fisherʼs linear discriminant function for gender classification of haematological properties of malaria patients obtained by subtraction is presented as: z = -0.0030PCV-0.0315WBC-0.0557NEUT-0.0367LYMP-0.2227MONO+0.0018PLT. The sample mean of the discriminant function scores was obtained by the constant coefficients as, z G = 6.354. The threshold against which a paediatric patient discriminating score is evaluated as 0.0000, this is obtained by taking the average of the centroid function. This implies that any new patient with discriminant scores greater than 0.0000 would be diagnosed to be a male, otherwise, a female. These data analysis hypotheses efficiently the categorization of the genders with 59.3% accuracy based on the retribution estimate method and 53.6% accuracy based on the leave one out method. Conclusion: This model could be useful as preliminary data to adopt better strategies for precise diagnosis of Malaria infection.

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Section: Resultssupporting

confidence: 56%

Evaluation of Differential Analytic Model as a Tool for the Diagnosis of Malaria Infection

Ndako¹,

Junaid²,

Ozoadibe³

et al. 2023

J. of Applied Sciences

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“…it proposed an efficient rule-based technique for merging the news and social streams in real-time. Another field is to develop a statistical prototype to perform clinical diagnosis of malaria [7]. The study has developed an automated system to incorporate an enhanced rule-based classification and statistical models in order to diagnose malaria.…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling Baby’s Health Management System Using Rule-Based Algorithm

Ismail

Wahab

Awang

et al. 2022

J. Phys.: Conf. Ser.

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In Malaysia, the growth of a new-born baby is recorded in a health handbook. The data in the handbook is consistently monitored through the information attained by nurses and doctors. Details such as the baby’s weight, height, immunization schedule and growth development are all recorded into the handbook. On that account, the handbook needs to be brought when having an appointment as it is recorded manually and handwritten by nurses and doctors alike. However, in some cases the probability of losing the handbook is high, hence important information such as the child’s appointment dates and health data can be overlooked and missed by parents and caregivers. Moreover, with the loss of key data, parents may face difficulties identifying symptoms that might present on their baby. Therefore, this study has developed a system to record all of the necessary data. It was modelled using a rule-based algorithm to assess the condition of a baby based on their symptoms, the system includes a postpartum confinement module to support mother’s regarding their postpartum confinement practices. The system also serves as a reminder for parents regarding their baby’s next vaccination appointment. Results shows that the system is able to improve the disadvantages of the old manual approach, allowing for maximum data storage while reducing data entering discrepancies. By using a rule-based approach, the system can model a baby’s health state and keep track of immunisation schedules as well as deliver friendly reminders to parents and caregivers if the need arises.

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“…As erythrocyte development takes place over the subsequent four-hour period, the formation of 16-32 merozoites results in cell division (schizogony), which leads to erythrocyte membrane destruction and parasite explosion. Several parasites undergo a developmental transition during schizogony in the bloodstream, which initiates sexual development into the formation of male and female gametocytes [12][13].…”

Section: Epidemiologymentioning

confidence: 99%

Eradication of Malaria: Present Situations and New Strategies

Alsulami

2021

JPRI

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Malaria is a serious disease caused by the protozoon parasite Plasmodium and transmitted by the female Anopheles mosquito as a vector. P. falciparum is the gravest infection for all other species P. ovale, P. vivax, P. Malariae and P. knowlesi in terms of morbidity or mortality, which is why most research focused on P. falciparum. The disease affects about 300-500 million people, mostly in the tropics. In regions with a weak economic downturn in tropical and subtropical capital, morbidity and mortality have elevated. Malaria remains a persistent threat in recent research. At the beginning of the 20th century, scientists tried to describe a successful way of eradicating malaria. However, the presence of drug resistance and social and environmental problems, no acceptable and positive future solution has been pointed out. Several studies have highlighted the need to establish advanced nano-biotechnology treatment, novel anti-malarial drug targets, an efficient malaria vaccine technique, and Anopheles gene editing, which opened the door to a healthy, environmentally friendly malaria treatment method over the last two decades. In recent years, the use of mosquito microbiota has shown great potential for cutting down the transmission of mosquito-borne pathogens. This review aims to cover important issues in malarial eradication as rapid diagnostic technology, novel anti-malarial drug targets, Anopheles gene editing, use of mosquito microbiota, and recent vaccines.

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Clinical malaria diagnosis: rule-based classification statistical prototype

Cited by 10 publications

References 27 publications

Evaluation of Differential Analytic Model as a Tool for the Diagnosis of Malaria Infection

Evaluation of Differential Analytic Model as a Tool for the Diagnosis of Malaria Infection

Modelling Baby’s Health Management System Using Rule-Based Algorithm

Eradication of Malaria: Present Situations and New Strategies

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