RSS-Feed abonnieren
Bitte kopieren Sie die angezeigte URL und fügen sie dann in Ihren RSS-Reader ein.
https://www.thieme-connect.de/rss/thieme/de/10.1055-s-00034612.xml
Yearb Med Inform 1998; 07(01): 389-470
DOI: 10.1055/s-0038-1637906
DOI: 10.1055/s-0038-1637906
Best Paper Selection
Section 6: Decision-Support Systems and Knowledge Processing
Weitere Informationen
Publikationsverlauf
Publikationsdatum:
10. März 2018 (online)
#
-
References
- 1 Haddad M, Adlassnig KP, Porenta G. Feasibility analysis of a case-based reasoning system for automated detection of coronary heart disease from myocardial scintigrams.. Artif Intell Med 1997; Jan 9 (01) 61-78 http://www.aiimjournal.com/article/S0933-3657(96)00361-2/pdf
- 2 Schmidt R, Heindl B, Pollwein B, Gierl L. Multiparametric time course prognoses by means of case-based reasoning and abstractions of data and time Med Inform (Lond). 1997; Jul-Sep 22 (03) 237-50
- 3 Lo JY, Baker JA, Kornguth PJ, Iglehart JD, Floyd Jr CE. Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features Radiology. 1997; Apr 203 (01) 159-63 http://dx.doi.org/10.1148/radiology.203.1.9122385
- 4 Brickley MR, Cowpe JG, Shepherd JP. Performance of a computer simulated neural network trained to categorise normal, premalignant and malignant oral smears J Oral Pathol Med. 1996; Sep 25 (08) 424-8 http://dx.doi.org/10.1111/j.1600-0714.1996.tb00291.x
- 5 Heden B, Ohlsson M, Rittner R, Pahlm O, Haisty Jr WK, Peterson C, Edenbrandt L. Agreement between artificial neural networks and experienced electrocardiographer on electrocardiographic diagnosis of healed myocardial infarction J Am Coll Cardiol. 1996; Oct 28 (04) 1012-6 http://dx.doi.org/10.1016/S0735-1097(96)00269-0
- 6 Kennedy RL, Harrison RF, Burton AM, Fraser HS, Hamer WG, MacArthur D, MacAllum R, Steedman DJ. An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin measurements.. Comput Methods Programs Biomed 1997; Feb 52 (02) 93-103 http://www.cmpbjournal.com/article/S0169-2607(96)01782-8/pdf
- 7 Ohno-Machado L. A comparison of Cox proportional hazards and artificial neural network models for medical prognosis Comput Biol Med. 1997; Jan 27 (01) 55-65 http://www.computersinbiologyandmedicine.com/article/S0010-4825(96)00036-4/pdf
- 8 Silver DL, Hurwitz GA. The predictive and explanatory power of inductive decision trees: a comparison with artificial neural network learning as applied to the noninvasive diagnosis of coronary artery disease J Investig Med. 1997; Feb 45 (02) 99-108
-
References
- 1 Haddad M, Adlassnig KP, Porenta G. Feasibility analysis of a case-based reasoning system for automated detection of coronary heart disease from myocardial scintigrams.. Artif Intell Med 1997; Jan 9 (01) 61-78 http://www.aiimjournal.com/article/S0933-3657(96)00361-2/pdf
- 2 Schmidt R, Heindl B, Pollwein B, Gierl L. Multiparametric time course prognoses by means of case-based reasoning and abstractions of data and time Med Inform (Lond). 1997; Jul-Sep 22 (03) 237-50
- 3 Lo JY, Baker JA, Kornguth PJ, Iglehart JD, Floyd Jr CE. Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features Radiology. 1997; Apr 203 (01) 159-63 http://dx.doi.org/10.1148/radiology.203.1.9122385
- 4 Brickley MR, Cowpe JG, Shepherd JP. Performance of a computer simulated neural network trained to categorise normal, premalignant and malignant oral smears J Oral Pathol Med. 1996; Sep 25 (08) 424-8 http://dx.doi.org/10.1111/j.1600-0714.1996.tb00291.x
- 5 Heden B, Ohlsson M, Rittner R, Pahlm O, Haisty Jr WK, Peterson C, Edenbrandt L. Agreement between artificial neural networks and experienced electrocardiographer on electrocardiographic diagnosis of healed myocardial infarction J Am Coll Cardiol. 1996; Oct 28 (04) 1012-6 http://dx.doi.org/10.1016/S0735-1097(96)00269-0
- 6 Kennedy RL, Harrison RF, Burton AM, Fraser HS, Hamer WG, MacArthur D, MacAllum R, Steedman DJ. An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin measurements.. Comput Methods Programs Biomed 1997; Feb 52 (02) 93-103 http://www.cmpbjournal.com/article/S0169-2607(96)01782-8/pdf
- 7 Ohno-Machado L. A comparison of Cox proportional hazards and artificial neural network models for medical prognosis Comput Biol Med. 1997; Jan 27 (01) 55-65 http://www.computersinbiologyandmedicine.com/article/S0010-4825(96)00036-4/pdf
- 8 Silver DL, Hurwitz GA. The predictive and explanatory power of inductive decision trees: a comparison with artificial neural network learning as applied to the noninvasive diagnosis of coronary artery disease J Investig Med. 1997; Feb 45 (02) 99-108