Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
13365 | 842 | 28.6 | 58% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
211 | 3 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//IEEE TRANSACTIONS ON NEURAL NETWORKS//DATA MINING | 51632 |
3439 | 2 | SYSTEMAL METHOD//NEURAL NETWORKS COMPUTER//THEORY MED | 1542 |
13365 | 1 | NEURAL NETWORKS COMPUTER//GENERAL EEG METHODOLOGY//PROGRAMA POS INFORMAT SAUDE | 842 |
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 | NEURAL NETWORKS COMPUTER | authKW | 331459 | 3% | 32% | 29 |
2 | GENERAL EEG METHODOLOGY | authKW | 108791 | 0% | 100% | 3 |
3 | PROGRAMA POS INFORMAT SAUDE | address | 108791 | 0% | 100% | 3 |
4 | COMPUTERS NEURAL NETWORK | authKW | 103597 | 1% | 29% | 10 |
5 | CLIN CYTOL CYTOGENET | address | 93243 | 1% | 43% | 6 |
6 | ARTIFICIAL NEURAL NETWORK | authKW | 89559 | 21% | 1% | 175 |
7 | COMPUTER ASSISTED ELECTROCARDIOGRAPHY | authKW | 72528 | 0% | 100% | 2 |
8 | FOCAL LIVER TUMOUR | authKW | 72528 | 0% | 100% | 2 |
9 | INTELLIGENT MEDICAL DIAGNOSTIC SYSTEM | authKW | 72528 | 0% | 100% | 2 |
10 | PROGNOSTIC MODELS IN MEDICINE | authKW | 72528 | 0% | 100% | 2 |
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 | Medical Informatics | 21667 | 20% | 0% | 167 |
2 | Computer Science, Artificial Intelligence | 2928 | 16% | 0% | 133 |
3 | Engineering, Biomedical | 1649 | 12% | 0% | 97 |
4 | Computer Science, Interdisciplinary Applications | 907 | 9% | 0% | 79 |
5 | Health Care Sciences & Services | 865 | 7% | 0% | 61 |
6 | Mathematical & Computational Biology | 612 | 5% | 0% | 44 |
7 | Computer Science, Information Systems | 484 | 7% | 0% | 57 |
8 | Urology & Nephrology | 366 | 7% | 0% | 57 |
9 | Medical Laboratory Technology | 269 | 3% | 0% | 27 |
10 | Radiology, Nuclear Medicine & Medical Imaging | 130 | 6% | 0% | 51 |
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 | PROGRAMA POS INFORMAT SAUDE | 108791 | 0% | 100% | 3 |
2 | CLIN CYTOL CYTOGENET | 93243 | 1% | 43% | 6 |
3 | RUMENTACAO ACUST | 72528 | 0% | 100% | 2 |
4 | ADVANCEMENT COMP ASSISTED MED | 48350 | 0% | 67% | 2 |
5 | ANNS C PROJECT | 48350 | 0% | 67% | 2 |
6 | STAT MED BIOMETR | 48350 | 0% | 67% | 2 |
7 | AG AD T SYSTEMARCHIEKTUR | 36264 | 0% | 100% | 1 |
8 | AG AD T SYSTEMARCHITEKTUR | 36264 | 0% | 100% | 1 |
9 | ALZERSHUS UNIV HOSP CLIN EPIDEMIOL MOL BIO | 36264 | 0% | 100% | 1 |
10 | ANAESTHESIOL ENVIRONM | 36264 | 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 | STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS | 23232 | 2% | 4% | 18 |
2 | ARTIFICIAL INTELLIGENCE IN MEDICINE | 21524 | 2% | 3% | 18 |
3 | MOLECULAR UROLOGY | 10140 | 1% | 4% | 7 |
4 | ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY | 5120 | 2% | 1% | 16 |
5 | COMPUTERS AND BIOMEDICAL RESEARCH | 3508 | 1% | 1% | 9 |
6 | M D COMPUTING | 3488 | 1% | 2% | 6 |
7 | MEDICAL DECISION MAKING | 2910 | 1% | 1% | 12 |
8 | METHODS OF INFORMATION IN MEDICINE | 2904 | 2% | 1% | 13 |
9 | JOURNAL OF ELECTROCARDIOLOGY | 2814 | 2% | 0% | 16 |
10 | MEDICAL INFORMATICS | 2180 | 1% | 1% | 5 |
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 | SCHWARZER, G , VACH, W , SCHUMACHER, M , (2000) ON THE MISUSES OF ARTIFICIAL NEURAL NETWORKS FOR PROGNOSTIC AND DIAGNOSTIC CLASSIFICATION IN ONCOLOGY.STATISTICS IN MEDICINE. VOL. 19. ISSUE 4. P. 541 -561 | 37 | 62% | 140 |
2 | BAXT, WG , (1995) APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO CLINICAL MEDICINE.LANCET. VOL. 346. ISSUE 8983. P. 1135-1138 | 24 | 57% | 340 |
3 | JONES, AS , TAKTAK, AGF , HELLIWELL, TR , FENTON, JE , BIRCHALL, MA , HUSBAND, DJ , FISHER, AC , (2006) AN ARTIFICIAL NEURAL NETWORK IMPROVES PREDICTION OF OBSERVED SURVIVAL IN PATIENTS WITH LARYNGEAL SQUAMOUS CARCINOMA.EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY. VOL. 263. ISSUE 6. P. 541-547 | 15 | 88% | 7 |
4 | BIGI, R , GREGORI, D , CORTIGIANI, L , DESIDERI, A , CHIAROTTO, FA , TOFFOLO, GM , (2005) ARTIFICIAL NEURAL NETWORKS AND ROBUST BAYESIAN CLASSIFIERS FOR RISK STRATIFICATION FOLLOWING UNCOMPLICATED MYOCARDIAL INFARCTION.INTERNATIONAL JOURNAL OF CARDIOLOGY. VOL. 101. ISSUE 3. P. 481-487 | 19 | 70% | 10 |
5 | OHNO-MACHADO, L , (2001) MODELING MEDICAL PROGNOSIS: SURVIVAL ANALYSIS TECHNIQUES.JOURNAL OF BIOMEDICAL INFORMATICS. VOL. 34. ISSUE 6. P. 428 -439 | 27 | 52% | 40 |
6 | DREW, PJ , MONSON, JRT , (2000) ARTIFICIAL NEURAL NETWORKS.SURGERY. VOL. 127. ISSUE 1. P. 3 -11 | 32 | 45% | 23 |
7 | BASSI, P , SACCO, E , DE MARCO, V , ARAGONA, M , VOLPE, A , (2007) PROGNOSTIC ACCURACY OF AN ARTIFICIAL NEURAL NETWORK IN PATIENTS UNDERGOING RADICAL CYSTECTOMY FOR BLADDER CANCER: A COMPARISON WITH LOGISTIC REGRESSION ANALYSIS.BJU INTERNATIONAL. VOL. 99. ISSUE 5. P. 1007 -1012 | 18 | 64% | 17 |
8 | TASDELEN, B , HELVACI, S , KALEAGASI, H , OZGE, A , (2009) ARTIFICIAL NEURAL NETWORK ANALYSIS FOR PREDICTION OF HEADACHE PROGNOSIS IN ELDERLY PATIENTS.TURKISH JOURNAL OF MEDICAL SCIENCES. VOL. 39. ISSUE 1. P. 5-12 | 15 | 71% | 2 |
9 | LISBOA, PJG , ETCHELLS, TA , JARMAN, IH , ARSENE, CTC , AUNG, MSH , ELEUTERI, A , TAKTAK, AFG , AMBROGI, F , BORACCHI, P , BIGANZOLI, E , (2009) PARTIAL LOGISTIC ARTIFICIAL NEURAL NETWORK FOR COMPETING RISKS REGULARIZED WITH AUTOMATIC RELEVANCE DETERMINATION.IEEE TRANSACTIONS ON NEURAL NETWORKS. VOL. 20. ISSUE 9. P. 1403 -1416 | 15 | 68% | 5 |
10 | TAKTAK, A , ANTOLINI, L , AUNG, M , BORACCHI, P , CAMPBELL, I , DAMATO, B , IFEACHOR, E , LAMA, N , LISBOA, P , SETZKORN, C , ET AL (2007) DOUBLE-BLIND EVALUATION AND BENCHMARKING OF SURVIVAL MODELS IN A MULTI-CENTRE STUDY.COMPUTERS IN BIOLOGY AND MEDICINE. VOL. 37. ISSUE 8. P. 1108 -1120 | 15 | 71% | 6 |
Classes with closest relation at Level 1 |