AbstractSequential Covering approach often follows general to specific approach to identify essential tuples and which are used to form a learning rule. Like other fields interpretation of sequential cover is more effective in health care also. Reverse technique will help to read instances from the last to generate appropriate rules. Alcoholic fatty liver disorder and Non-alcoholic fatty liver disorder dataset is used in this article for rule learning
AbstractThe application of medical data mining is emphasis with temporal data in this piece of writi...
With the introduction of electronic medical records, a large amount of patients’ medical data has be...
AbstractAccuracy in data classification depends on the dataset used for learning. Now-a-days the mos...
AbstractSequential Covering approach often follows general to specific approach to identify essentia...
The wealth of computerised medical information becoming readily available presents the opportunity t...
AbstractBackgroundTherapy for certain medical conditions occurs in a stepwise fashion, where one med...
Sequential rule mining is a well-established data mining technique for binary valued data. Many vari...
Therapy for certain medical conditions occurs in a stepwise fashion, where one medication is recomme...
In this paper, an algorithm for generating non-redundant sequential rules for the medical time serie...
Use of Sequential Rule mining is becoming an important tool in m-learning domain to convert the data...
Medication management is an important process in pharmacy field. Prescribing errors occur upstream i...
Practical Bio-Informatic is the study of all vicinities of development, testing and novel appliances...
Abstract — The wealth of computerised medical information becoming readily available presents the op...
In this work we employ FreeSpan, one of the sequential pattern mining methods, to discover sequent...
Background and Objective Increases in outpatients seeking medical check-ups are expanding the number...
AbstractThe application of medical data mining is emphasis with temporal data in this piece of writi...
With the introduction of electronic medical records, a large amount of patients’ medical data has be...
AbstractAccuracy in data classification depends on the dataset used for learning. Now-a-days the mos...
AbstractSequential Covering approach often follows general to specific approach to identify essentia...
The wealth of computerised medical information becoming readily available presents the opportunity t...
AbstractBackgroundTherapy for certain medical conditions occurs in a stepwise fashion, where one med...
Sequential rule mining is a well-established data mining technique for binary valued data. Many vari...
Therapy for certain medical conditions occurs in a stepwise fashion, where one medication is recomme...
In this paper, an algorithm for generating non-redundant sequential rules for the medical time serie...
Use of Sequential Rule mining is becoming an important tool in m-learning domain to convert the data...
Medication management is an important process in pharmacy field. Prescribing errors occur upstream i...
Practical Bio-Informatic is the study of all vicinities of development, testing and novel appliances...
Abstract — The wealth of computerised medical information becoming readily available presents the op...
In this work we employ FreeSpan, one of the sequential pattern mining methods, to discover sequent...
Background and Objective Increases in outpatients seeking medical check-ups are expanding the number...
AbstractThe application of medical data mining is emphasis with temporal data in this piece of writi...
With the introduction of electronic medical records, a large amount of patients’ medical data has be...
AbstractAccuracy in data classification depends on the dataset used for learning. Now-a-days the mos...