[Retracted] Processing Decision Tree Data Using Internet of Things (IoT) and Artificial Intelligence Technologies with Special Reference to Medical Application

Abstract

Alternative methods are available for a wide range of medical conditions. Idealistically, doctors would have a tool that would analyse their patients’ symptoms and suggest the most accurate diagnosis and treatment plan. Artificial intelligence uses decision trees to predict and classify large datasets. A decision tree is a versatile prediction model. Its main purpose is to learn from observations and logic. Rule-based prediction systems represent and categorize events. We discuss the basic properties of decision trees and successful medical alternatives to the classic induction strategy. The study reviews some of the most important medical applications of decision trees (classification). We show researchers and managers how to accurately assess hospital and epidemic management behaviour. Additionally, we discuss decision trees and their applications. The results showed the effectiveness of decision trees in processing medical data by using internet of things (IoT) and artificial intelligence technologies in medical applications. Accordingly, the researchers recommend the use of these technologies in other fields of studies.

[Retracted] Assessment of Awareness and Practice toward Diabetic Ketoacidosis among Diabetic Patients and Their Caregivers in Hail Region

“…According to their accounts, insufficient awareness was detected among patients regarding the risk factors, complications, and management of DKA while in India [9,10], and most diabetic patients (80%) appeared to have a poor level of DKA knowledge. However, in a study published in Somalia [11][12][13], the knowledge, attitude, and practice of the patients who visited Egyptian Hospital in Mogadishu, Somalia, regarding diabetic complications were satisfactory which was better than our reports. The current gap in awareness may not only sustain a significant burden with the cost of treatment on the patients and their families but it may also lead to severe complications that can be lifethreatening if not diagnosed and treated early.…”

“…Despite these shortcomings, some of our population rely on their information by visiting a doctor (29.9%), the Internet (17.2%), and family and friends (14.9%). Among diabetic patients in Somalia [ 11 ], 37.5% of them visited a doctor to get advice regarding issues about their disease and their adherence to regular exercise was also low which may result in more complications of the disease.…”

A K -Means Algorithm-Based Method in IOT Applications for Evaluating the Effectiveness of Physical Exercise in Preventing Youth Rebellion

“…The coefficient of correlation is 0.9504. It means that there is a very strong direct relationship between X and Y [8,9].…”

A Fuzzy Evaluation Method Based on Industrial Cluster Investment Risk Assessment Method Based on IoT Applications

“…Numerous locales in China are concerned uniquely with explicit items (e.g., materials), which are sold on public and worldwide business sectors. They are incredibly well-coordinated groups on urban areas, where countless little and medium endeavors work, which by acting together are bound to accomplish an undeniable degree of intensity [33].…”