Neural Networks and Artificial Intelligence in Thoracic Surgery
Assessment of surgical risk in patients undergoing pulmonary resection is a fundamental goal for thoracic surgeons. Commonly available risk scores do not predict the individual outcome. Data mining and artificial neural networks are artificial intelligence mathematical models that have been used for...
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| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
2007
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 10511caa a22010817a 4500 | ||
|---|---|---|---|
| 001 | PAPER-6472 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230607131851.0 | ||
| 008 | 190411s2007 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-35448997782 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 030 | |a TSCHC | ||
| 100 | 1 | |a Esteva, H. | |
| 245 | 1 | 0 | |a Neural Networks and Artificial Intelligence in Thoracic Surgery |
| 260 | |c 2007 | ||
| 270 | 1 | 0 | |m Esteva, H.; Division of Thoracic Surgery, Hospital de Clínicas, Universidad de Buenos Aires, Av. San Martín 1039, (1661) Bella Vista. Provincia de Buenos Aires, Argentina; email: hesteva@intramed.net.ar |
| 506 | |2 openaire |e Política editorial | ||
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| 504 | |a Santos García, G., Varela, G., Novoa, N., Prediction of postoperative morbidity after lung resection using an artificial neural network ensemble (2004) Artif Intell Med, 30, pp. 61-69 | ||
| 504 | |a Esteva, H., Marchevsky, A., Nuñez, T., Neural networks as a prognostic tool of surgical risk in lung resections (2002) Ann Thorac Surg, 73, pp. 1576-1581 | ||
| 504 | |a (2003) Prevención y Manejo de las Complicaciones de la Cirugía Torácica, , Esteva y colaboradores, Editorial EDUCA, Buenos Aires | ||
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| 520 | 3 | |a Assessment of surgical risk in patients undergoing pulmonary resection is a fundamental goal for thoracic surgeons. Commonly available risk scores do not predict the individual outcome. Data mining and artificial neural networks are artificial intelligence mathematical models that have been used for estimation of prognosis in different clinical scenarios. When used to assess the surgical risk, they can integrate results from multiple data by predicting the individual outcome for patients rather than assigning them to less precise risk group categories. © 2007 Elsevier Inc. All rights reserved. |l eng | |
| 593 | |a Division of Thoracic Surgery, Hospital de Clínicas, Universidad de Buenos Aires, Av. San Martín 1039, (1661) Bella Vista. Provincia de Buenos Aires, Argentina | ||
| 593 | |a Department of Computer Science, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellon I, Intendente Guiraldes 2160, Ciudad Univ., 1428 Buenos Aires, Argentina | ||
| 690 | 1 | 0 | |a ARTIFICIAL INTELLIGENCE |
| 690 | 1 | 0 | |a ARTIFICIAL NEURAL NETWORK |
| 690 | 1 | 0 | |a COMORBIDITY |
| 690 | 1 | 0 | |a DATA MINING |
| 690 | 1 | 0 | |a LUNG RESECTION |
| 690 | 1 | 0 | |a MEDICAL PRACTICE |
| 690 | 1 | 0 | |a OUTCOME ASSESSMENT |
| 690 | 1 | 0 | |a PRIORITY JOURNAL |
| 690 | 1 | 0 | |a PROGNOSIS |
| 690 | 1 | 0 | |a REVIEW |
| 690 | 1 | 0 | |a RISK ASSESSMENT |
| 690 | 1 | 0 | |a SCORING SYSTEM |
| 690 | 1 | 0 | |a SURGICAL RISK |
| 690 | 1 | 0 | |a SURGICAL TECHNIQUE |
| 690 | 1 | 0 | |a THORAX SURGERY |
| 690 | 1 | 0 | |a TREATMENT PLANNING |
| 690 | 1 | 0 | |a ARTIFICIAL INTELLIGENCE |
| 690 | 1 | 0 | |a HUMANS |
| 690 | 1 | 0 | |a NEURAL NETWORKS (COMPUTER) |
| 690 | 1 | 0 | |a SURGERY, COMPUTER-ASSISTED |
| 690 | 1 | 0 | |a THORACIC DISEASES |
| 690 | 1 | 0 | |a THORACIC SURGICAL PROCEDURES |
| 690 | 1 | 0 | |a TREATMENT OUTCOME |
| 700 | 1 | |a Núñez, T.G. | |
| 700 | 1 | |a Rodríguez, R.O. | |
| 773 | 0 | |d 2007 |g v. 17 |h pp. 359-367 |k n. 3 |p Thorac. Surg. Clin. |x 15474127 |t Thoracic Surgery Clinics | |
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| 856 | 4 | 0 | |u https://doi.org/10.1016/j.thorsurg.2007.07.012 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_15474127_v17_n3_p359_Esteva |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15474127_v17_n3_p359_Esteva |y Registro en la Biblioteca Digital |
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