Novel Method for Safeguarding Personal Health Record in Cloud Connection Using Deep Learning Models

Table 1

Existing methodology comparison.

Reference	Technique used	Research objective
[7]	Neuro-fuzzy inference system for diagnosis of malaria	Investigation of malaria using the neuro-fuzzy system for decision-making ability based on predefined rules and learning by the backpropagation algorithm
[8]	A fuzzy logic system with attribute ranking technique for risk-level classification of coronary artery heart disease (CAHD) in female diabetic patients	Fuzzy logic (Mamdani model) for risk classification of CAHD; it uses the attribute ranking technique (ART) for attribute selection
[10]	CDSS (clinical decision support system): risk assessment level weighted fuzzy rules are used to predict the development of heart disease	A weighted fuzzy rule-based CDSS is presented for the diagnosis of heart disease, by automatically obtaining knowledge from the patient’s clinical data
[11]	A new approach for diagnosis of diabetes and prediction of cancer using adaptive neuro-fuzzy inference system (ANFIS)	ANFIS is used to improve classification accuracy and to achieve better efficiency; it examines the diagnosis of cancer and diabetes by training technique based on ANFIS for the early detection of sleep disorders