Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
16684 | 641 | 29.2 | 51% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | DOPPLER SIGNAL | authKW | 943162 | 5% | 60% | 33 |
2 | DOPPLER HEART SOUNDS | authKW | 714537 | 2% | 100% | 15 |
3 | ERYTHEMATO SQUAMOUS DISEASES | authKW | 385848 | 1% | 90% | 9 |
4 | ERYTHEMATO SQUAMOUS | authKW | 285815 | 1% | 100% | 6 |
5 | DOPPLER ULTRASOUND SIGNALS | authKW | 254052 | 1% | 67% | 8 |
6 | ELECT COMP EDUC | address | 246315 | 6% | 13% | 41 |
7 | ARTIFICIAL IMMUNE RECOGNITION SYSTEM | authKW | 240152 | 2% | 46% | 11 |
8 | FUZZY WEIGHTED PRE PROCESSING | authKW | 214358 | 1% | 75% | 6 |
9 | THYROID DISEASE DIAGNOSIS | authKW | 214358 | 1% | 75% | 6 |
10 | BREAST CANCER DIAGNOSIS | authKW | 207674 | 3% | 20% | 22 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 18401 | 44% | 0% | 283 |
2 | Medical Informatics | 17253 | 20% | 0% | 130 |
3 | Operations Research & Management Science | 7007 | 24% | 0% | 153 |
4 | Engineering, Biomedical | 3459 | 19% | 0% | 120 |
5 | Computer Science, Interdisciplinary Applications | 2924 | 19% | 0% | 119 |
6 | Mathematical & Computational Biology | 2309 | 11% | 0% | 72 |
7 | Engineering, Electrical & Electronic | 1522 | 30% | 0% | 191 |
8 | Health Care Sciences & Services | 1428 | 10% | 0% | 67 |
9 | Computer Science, Theory & Methods | 607 | 9% | 0% | 58 |
10 | Biology | 396 | 8% | 0% | 49 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | ELECT COMP EDUC | 246315 | 6% | 13% | 41 |
2 | ENG ARCH COMP ENG | 190543 | 1% | 100% | 4 |
3 | ENG ARCH ELECT ELECT ENG | 142907 | 0% | 100% | 3 |
4 | BIOMED DEVICES TECHNOL | 114319 | 1% | 40% | 6 |
5 | ORGANIZED IND AREA | 95272 | 0% | 100% | 2 |
6 | MATH BIOSTAT COMP SCI | 63513 | 0% | 67% | 2 |
7 | ALIABADKATOUL BRANCH | 47636 | 0% | 100% | 1 |
8 | BARGH GOSTAR BAHARAN | 47636 | 0% | 100% | 1 |
9 | BUSINESS INNOVAT TECHNOL MANAGEMENT | 47636 | 0% | 100% | 1 |
10 | COMP SCI FIN IWS | 47636 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | JOURNAL OF MEDICAL SYSTEMS | 95273 | 9% | 3% | 58 |
2 | EXPERT SYSTEMS WITH APPLICATIONS | 86068 | 22% | 1% | 138 |
3 | COMPUTERS IN BIOLOGY AND MEDICINE | 37634 | 7% | 2% | 48 |
4 | STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS | 18461 | 2% | 3% | 14 |
5 | EXPERT SYSTEMS | 13951 | 2% | 2% | 13 |
6 | DIGITAL SIGNAL PROCESSING | 6220 | 2% | 1% | 15 |
7 | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 4555 | 3% | 1% | 18 |
8 | ARTIFICIAL INTELLIGENCE IN MEDICINE | 4269 | 1% | 1% | 7 |
9 | NEURAL COMPUTING & APPLICATIONS | 2445 | 2% | 0% | 11 |
10 | JOURNAL OF BIOMEDICAL INFORMATICS | 2059 | 1% | 1% | 8 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | LIU, T , HU, L , MA, C , WANG, ZY , CHEN, HL , (2015) A FAST APPROACH FOR DETECTION OF ERYTHEMATO-SQUAMOUS DISEASES BASED ON EXTREME LEARNING MACHINE WITH MAXIMUM RELEVANCE MINIMUM REDUNDANCY FEATURE SELECTION.INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE. VOL. 46. ISSUE 5. P. 919 -931 | 20 | 65% | 5 |
2 | UBEYLI, ED , (2008) STATISTICS OVER FEATURES FOR INTERNAL CAROTID ARTERIAL DISORDERS DETECTION.COMPUTERS IN BIOLOGY AND MEDICINE. VOL. 38. ISSUE 3. P. 361 -371 | 29 | 53% | 5 |
3 | GAMBHIR, S , MALIK, SK , KUMAR, Y , (2016) ROLE OF SOFT COMPUTING APPROACHES IN HEALTHCARE DOMAIN: A MINI REVIEW.JOURNAL OF MEDICAL SYSTEMS. VOL. 40. ISSUE 12. P. - | 33 | 36% | 0 |
4 | UBEYLI, ED , GULER, I , (2005) TEACHING AUTOMATED DIAGNOSTIC SYSTEMS FOR DOPPLER ULTRASOUND BLOOD FLOW SIGNALS TO BIOMEDICAL ENGINEERING STUDENTS USING MATLAB.INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION. VOL. 21. ISSUE 4. P. 649-667 | 19 | 73% | 5 |
5 | ONAN, A , (2015) A FUZZY-ROUGH NEAREST NEIGHBOR CLASSIFIER COMBINED WITH CONSISTENCY-BASED SUBSET EVALUATION AND INSTANCE SELECTION FOR AUTOMATED DIAGNOSIS OF BREAST CANCER.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 42. ISSUE 20. P. 6844 -6852 | 19 | 51% | 6 |
6 | BARISCI, N , HARDALAC, F , (2007) APPLICATION OF AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR CLASSIFICATION OF BEHCET DISEASE USING THE FAST FOURIER TRANSFORM METHOD.EXPERT SYSTEMS. VOL. 24. ISSUE 2. P. 123-130 | 17 | 74% | 1 |
7 | ZANGOOEI, MH , HABIBI, J , ALIZADEHSANI, R , (2014) DISEASE DIAGNOSIS WITH A HYBRID METHOD SVR USING NSGA-II.NEUROCOMPUTING. VOL. 136. ISSUE . P. 14-29 | 18 | 56% | 4 |
8 | KARABATAK, M , (2015) A NEW CLASSIFIER FOR BREAST CANCER DETECTION BASED ON NAIVE BAYESIAN.MEASUREMENT. VOL. 72. ISSUE . P. 32 -36 | 12 | 80% | 1 |
9 | CHEN, HL , YANG, B , WANG, G , WANG, SJ , LIU, J , LIU, DY , (2012) SUPPORT VECTOR MACHINE BASED DIAGNOSTIC SYSTEM FOR BREAST CANCER USING SWARM INTELLIGENCE.JOURNAL OF MEDICAL SYSTEMS. VOL. 36. ISSUE 4. P. 2505 -2519 | 15 | 65% | 14 |
10 | UGUZ, H , (2012) DETECTION OF CAROTID ARTERY DISEASE BY USING LEARNING VECTOR QUANTIZATION NEURAL NETWORK.JOURNAL OF MEDICAL SYSTEMS. VOL. 36. ISSUE 2. P. 533-540 | 18 | 56% | 6 |
Classes with closest relation at Level 1 |