Table 1.

The recent diagnostic strategies in medical system.

Technique	Description	Advantages	Disadvantages
Four diagnostic models [9]	Four diagnostic models called RF, NB, SVM, and DT were used to early identify diabetes.	RF outperformed SVM, NB, and DT based on using two different datasets where RF provided the maximum accuracy, recall, and F-measure values.	-RF has not been tested on monkeypox. -RF is based on the original dataset without initially selecting the most effective features.
Neuro-Fuzzy [1]	Neuro-Fuzzy based technique was provided to early diagnose monkeypox patients. This technique combines the benefits of fuzzy logic and artificial neural network techniques.	It can effectivity diagnose monkeypox patients.	-It lacked to use all symptoms in the input. -It lacks the use of feature selection approach before implementing the diagnostic algorithm to enhance its performance further.
Ensemble Learning based Genetic Algorithm (ELGA) [8]	ELGA was provided to early diagnose heart disease patients. ELGA method begins to select the most effective features and then diagnose heart disease.	It provided the maximum accuracy compared to other diagnostic models.	-It has not been combined with many common diagnostic models, namely; NB, DT and SVM which may enable ELGA to improve its performance further. -It has not been tested on many different diseases such as breast cancer, lung cancer, Covid-19, and monkeypox.
Distance Based Classification (DBC) strategy [6]	DBC was introduced to classify people vulnerability to Covid-19 infection. This strategy consists of three stages; outlier rejection, feature selection, and classification.	It provided the maximum accuracy and the minimum error and implementation time.	-It has not been combined with many heuristics models such as fuzzy logic and deep learning. -It has not been tested on other diseases such as monkeypox.
Covid-19 Prudential Expectation (CPE) strategy [7]	CPE has been provided to classify people vulnerability to Covid-19 infection. Outlier rejection, feature selection, and classification are the three main phases of CPE.	It outperformed other strategies because it achieved the best accuracy and execution time values.	-it has not been implemented on other diseases such as monkeypox.
Diagnosis of Monkeypox Patients (DMP) [16]	Clinical features of humans monkeypox for 197 patients who had confirmed monkeypox based on PCR test were characterized to diagnose patients.	It provided accurate description and in-depth study of the characteristics of monkeypox patients, which help in the early and accurate diagnosis of patients.	-Diagnosis takes a long time. -Diagnosis is done manually instead of using AI techniques. -It only relies on PCR testing to find confirmed cases.
Monkeypox Diagnosis Process (MDP) [17]	In a sexual health center in London, UK, demographic and clinical features of the patients were used to diagnose infected cases.	Careful examination of 54 cases was conducted to provide an accurate diagnosis.	-Diagnosis process took a great deal of time with a small number of cases. -Depending only on the PCR test reduced the efficiency of the diagnosis. -It only relies on PCR testing to find confirmed cases.
Diagnostic Method (DM) [18]	Humans diagnosis based on clinical features of 7 patients with monkeypox characterized in the UK between 2018 and 2021 was performed to accurately diagnose monkeypox patients.	The good description of the patients' condition and their diagnosis were provided.	-This study suffers from a small number of samples,. -It also suffers from the lack of use of AI methods. -Additionally, it is not sufficient to rely only the PCR test to diagnose patients.
Diagnose Monkeypox Individuals (DMI) process [19]	Based on several demographic and clinical features such as gay or bisexual men, human immunodeficiency virus infection, the median age, sexual activity, rash, anogenital lesions, and mucosal lesions, diagnosis was performed.	It can accurately diagnose monkeypox patients based on their clinical features.	-It takes a long time for diagnosing patients. -Diagnosis is done manually but AI techniques were not used. -It only based on PCR testing to determine confirmed patients.