An Efficient Online Multiparty Interactive Medical Prediagnosis Scheme with Privacy Protection

Table 1

Descriptions of notations.

Notation	Description
	Safety parameters selected by the hospital
	Parameters of the bilinear group
	Secure asymmetric encryption algorithm and cryptographic hash function
	Public keys for the hospital, the user, and the cloud
	Secret keys for the hospital, the user, and the cloud
	Signatures created by the hospital, the user, and the cloud
	Total number of disease labels and the th disease label
	The data subset to disease , the total number of data in
	The number of features contained in each data in
	The feature weight vector and the th component of
	Query vector and the th data in
	The vector obtained by feature weight distribution of
	The vector obtained by iterative transformation of
	The vector obtained by forward expansion of
	The vector obtained by encryption of
	The components of
	The components of
	Two large prime numbers chosen by the hospital
	Random numbers chosen by the hospital
	The number of nearest neighbors selected by relief-MW classifier for disease
	Relief-Wasserstein distance between two pieces of data
	Intermediate parameters when calculating
	Timestamp of the -th moment and the user’s ID
	Query request encrypted with by the user
	Query vector encrypted with by the hospital
	Prediagnosis result and pre-diagnosis result encrypted with by the cloud
	Medical advice given by the hospital
	Prediagnosis result and medical advice encrypted with by the hospital