In today's faced paced life, diseases and medical problems which were only confined to the elderly are slowly becoming common among the younger lot. These medical problems which are induced due to factors such as behavioural habits, eating habits, environmental factors, allergies and the lifestyle of individuals are termed as lifestyle diseases. Male fertility has slowly been degrading due to this. It has been a surge of cases of fertility and mortality degradation of semen which are correlated to the unhealthy and undisciplined lifestyles of the individuals. Studies have been conducted in the past to analyze the scenario through medical and clinical tests. Non-medical behavioural and lifestyle aspects were studied and analyses were based on it. It was found out that non medical aspects also effect male fertility and there is an correlation between the two. In this paper the seminal quality is determine with the help of clustering techniques and validate using different classification techniques.
목차
Abstract 1. Introduction 2. Methodology 3. Clustering Technique 4. Particle Swarm Optimization (PSO) based Clustering 4.1. PSO Algorithm for Clustering 5. Clustering Technique as a Classifier 6. Performance Parameters 7. Description of the Data Used 8. Experimental Setup 9. Experimental Setup 10. Discussion and Future Scope References
키워드
Medical Data AnalyticsParticle Swarm OptimizationClusteringClassification
저자
Puneet Singh Duggal [ Department of Computer Science, BIT Mesra ]
Sanchita Paul [ Department of Computer Science, BIT Mesra ]
Priyanka Tiwari [ Index Medical College & Research Center, Indore ]
보안공학연구지원센터(IJBSBT) [Science & Engineering Research Support Center, Republic of Korea(IJBSBT)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Bio-Science and Bio-Technology
간기
격월간
pISSN
2233-7849
수록기간
2009~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Bio-Science and Bio-Technology Vol.7 No.1