-
2
-
-
33846490089
-
Milestones on long road to knowledge
-
Godlee, F.: Milestones on long road to knowledge. Brit. Med. J. 334, s2-s3 (2007)
-
(2007)
Brit. Med. J
, vol.334
-
-
Godlee, F.1
-
3
-
-
33846471825
-
Evidence based medicine: Increasing, not dictating, choice
-
s
-
Dickersin, K., Straus, S.E., Bero, L.A.: Evidence based medicine: Increasing, not dictating, choice. Brit. Med. J. 334, s10 (2007)
-
(2007)
Brit. Med. J
, vol.334
, pp. 10
-
-
Dickersin, K.1
Straus, S.E.2
Bero, L.A.3
-
5
-
-
0031173053
-
Model-based diagnosis in medicine
-
Lucas, P.J.F.: Model-based diagnosis in medicine. Artif. Intell. Med. 10, 201-208 (1997)
-
(1997)
Artif. Intell. Med
, vol.10
, pp. 201-208
-
-
Lucas, P.J.F.1
-
6
-
-
0036127092
-
A review of evidence of health benefit from artificial neural networks in medical intervention
-
Lisboa, P.J.G.: A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Networks 15, 9-37 (2002)
-
(2002)
Neural Networks
, vol.15
, pp. 9-37
-
-
Lisboa, P.J.G.1
-
7
-
-
32544456576
-
A Review of Evidence of Health Benefit from Artificial Neural Networks in Medical Intervention
-
Springer, London
-
Lisboa, P.J.G., Vellido, A., Wong, H.: A Review of Evidence of Health Benefit from Artificial Neural Networks in Medical Intervention. In: Artificial Neural Networks in Medicine and Biology, pp. 63-71. Springer, London (2000)
-
(2000)
Artificial Neural Networks in Medicine and Biology
, pp. 63-71
-
-
Lisboa, P.J.G.1
Vellido, A.2
Wong, H.3
-
8
-
-
33746901239
-
The use of artificial neural networks in decision support in cancer: A systematic review
-
Lisboa, P.J.G., Taktak, A.F.G.: The use of artificial neural networks in decision support in cancer: a systematic review. Neural Networks 19, 408-415 (2006)
-
(2006)
Neural Networks
, vol.19
, pp. 408-415
-
-
Lisboa, P.J.G.1
Taktak, A.F.G.2
-
9
-
-
33744961676
-
Applications of machine learning in cancer prediction and prognosis
-
Cruz, J.A., Wishart, D.S.: Applications of machine learning in cancer prediction and prognosis. Cancer Informatics 2, 59-77 (2006)
-
(2006)
Cancer Informatics
, vol.2
, pp. 59-77
-
-
Cruz, J.A.1
Wishart, D.S.2
-
10
-
-
19344365337
-
Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods
-
Nattkemper, T.W., Arnrich, B., Lichte, O., et al.: Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods. Artif. Intell. Med. 34, 129-139 (2005)
-
(2005)
Artif. Intell. Med
, vol.34
, pp. 129-139
-
-
Nattkemper, T.W.1
Arnrich, B.2
Lichte, O.3
-
11
-
-
33645774904
-
Cluster analysis of signal-intensity time course in dynamic breast MRI: Does unsupervised vector quantization help to evaluate small mammographic lesions?
-
Leinsinger, G., Schlossbauer, T., et al.: Cluster analysis of signal-intensity time course in dynamic breast MRI: Does unsupervised vector quantization help to evaluate small mammographic lesions? Eur. Radiol. 16, 1138-1146 (2006)
-
(2006)
Eur. Radiol
, vol.16
, pp. 1138-1146
-
-
Leinsinger, G.1
Schlossbauer, T.2
-
12
-
-
0038162240
-
A bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer
-
Lisboa, P.J.G., Wong, H., Harris, P., Swindell, R.: A bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer. Artif. Intell. Med. 28, 1-25 (2003)
-
(2003)
Artif. Intell. Med
, vol.28
, pp. 1-25
-
-
Lisboa, P.J.G.1
Wong, H.2
Harris, P.3
Swindell, R.4
-
13
-
-
33744547243
-
Artificial neural network for the joint modelling of discrete cause-specific hazards
-
Biganzoli, E.M., Boracchi, P., et al.: Artificial neural network for the joint modelling of discrete cause-specific hazards. Artif. Intell. Med. 37, 119-130 (2006)
-
(2006)
Artif. Intell. Med
, vol.37
, pp. 119-130
-
-
Biganzoli, E.M.1
Boracchi, P.2
-
14
-
-
84882895823
-
Computer-Aided Detection and Diagnosis in Mammography
-
2nd edn, pp, Academic Press, Orlando, FL, USA
-
Sampat, M.P., Markey, M.K., Bovik, A.C.: Computer-Aided Detection and Diagnosis in Mammography. In: Handbook of Image and Video Processing, 2nd edn., pp. 1195-1217. Academic Press, Orlando, FL, USA (2005)
-
(2005)
Handbook of Image and Video Processing
, pp. 1195-1217
-
-
Sampat, M.P.1
Markey, M.K.2
Bovik, A.C.3
-
15
-
-
12144250151
-
The NASA smart probe project for real-time multiple microsensor tissue recognition: Update
-
Andrews, R., Mah, R., Jeffrey, S., Guerrero, M., Papasin, R., Reed, C.: The NASA smart probe project for real-time multiple microsensor tissue recognition: Update. International Congress Series 1256, 547-554 (2003)
-
(2003)
International Congress Series
, vol.1256
, pp. 547-554
-
-
Andrews, R.1
Mah, R.2
Jeffrey, S.3
Guerrero, M.4
Papasin, R.5
Reed, C.6
-
16
-
-
0042168791
-
Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue
-
Futschik, M.E., et al.: Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue. Artif. Intell. Med. 28, 165-189 (2003)
-
(2003)
Artif. Intell. Med
, vol.28
, pp. 165-189
-
-
Futschik, M.E.1
-
17
-
-
33846558985
-
-
Dolgobrodov, S.D., Marshall, R., Moore, P., et al.: e-science and artificial neural networks in cancer management. Concurr. Comp.-Pract. E 19, 251-263 (2007)
-
Dolgobrodov, S.D., Marshall, R., Moore, P., et al.: e-science and artificial neural networks in cancer management. Concurr. Comp.-Pract. E 19, 251-263 (2007)
-
-
-
-
18
-
-
28144441052
-
Possible prediction of chemoradiosensitivity of esophageal cancer by serum protein profiling
-
Hayashida, Y., et al.: Possible prediction of chemoradiosensitivity of esophageal cancer by serum protein profiling. Clin. Cancer Res. 11, 8042-8047 (2005)
-
(2005)
Clin. Cancer Res
, vol.11
, pp. 8042-8047
-
-
Hayashida, Y.1
-
19
-
-
33646789856
-
Prediction of survival from carcinoma of oesophagus and oesophago-gastric junction following surgical resection using an artificial neural network
-
Mofidi, X.R., Deans, C., Duff, M.D., et al: Prediction of survival from carcinoma of oesophagus and oesophago-gastric junction following surgical resection using an artificial neural network. Eur. J. Surg. Oncol. 32, 533-539 (2006)
-
(2006)
Eur. J. Surg. Oncol
, vol.32
, pp. 533-539
-
-
Mofidi, X.R.1
Deans, C.2
Duff, M.D.3
-
20
-
-
0942276081
-
Application of neural networks to the prediction of lymph node metastasis in oral cancer
-
Kawazu, T., Araki, K., et al.: Application of neural networks to the prediction of lymph node metastasis in oral cancer. Oral Radiology 19, 35-40 (2003)
-
(2003)
Oral Radiology
, vol.19
, pp. 35-40
-
-
Kawazu, T.1
Araki, K.2
-
21
-
-
33846460763
-
A new method to help diagnose cancers for small sample size
-
Li, D.C., Hsu, H.C., Tsai, T.I., Lu, T.J., Hu, S.C.: A new method to help diagnose cancers for small sample size. Expert Syst. Appl. 33, 420-424 (2007)
-
(2007)
Expert Syst. Appl
, vol.33
, pp. 420-424
-
-
Li, D.C.1
Hsu, H.C.2
Tsai, T.I.3
Lu, T.J.4
Hu, S.C.5
-
22
-
-
33750951933
-
Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence
-
Tasoulis, D.K., Spyridonos, P., et al.: Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artif. Intell. Med. 38, 291-303 (2006)
-
(2006)
Artif. Intell. Med
, vol.38
, pp. 291-303
-
-
Tasoulis, D.K.1
Spyridonos, P.2
-
23
-
-
30344486015
-
An accurate and interpretable method for predicting bladder cancer progression
-
Catto, J.W.F., Abbod, M.F., et al.: An accurate and interpretable method for predicting bladder cancer progression. J. Urology 175, 474-479 (2006)
-
(2006)
J. Urology
, vol.175
, pp. 474-479
-
-
Catto, J.W.F.1
Abbod, M.F.2
-
24
-
-
0142250869
-
Proteomic profiling of urinary proteins in renal cancer by surface enhanced laser desorption ionization and neural-network analysis
-
Rogers, M.A., Clarke, P., Noble, J., et al.: Proteomic profiling of urinary proteins in renal cancer by surface enhanced laser desorption ionization and neural-network analysis. Cancer Res. 63, 6971-6983 (2003)
-
(2003)
Cancer Res
, vol.63
, pp. 6971-6983
-
-
Rogers, M.A.1
Clarke, P.2
Noble, J.3
-
25
-
-
0142009811
-
Molecular classification of cancer: Unsupervised self-organizing map analysis of gene expression microarray data
-
Covell, D.G., Wallqvist, A., Rabow, A.A., Thanki, N.: Molecular classification of cancer: Unsupervised self-organizing map analysis of gene expression microarray data. Mol. Cancer Ther. 2, 317-332 (2003)
-
(2003)
Mol. Cancer Ther
, vol.2
, pp. 317-332
-
-
Covell, D.G.1
Wallqvist, A.2
Rabow, A.A.3
Thanki, N.4
-
26
-
-
27744447007
-
Ovarian cancer diagnosis by hippocampus and neocortex-inspired learning memory structures
-
Tan, T.Z., et al.: Ovarian cancer diagnosis by hippocampus and neocortex-inspired learning memory structures. Neural Networks 18, 818-825 (2005)
-
(2005)
Neural Networks
, vol.18
, pp. 818-825
-
-
Tan, T.Z.1
-
27
-
-
17844393622
-
Artificial neural network computer prediction of ovarian malignancy in women with adnexal masses
-
Szpurek, D., et al.: Artificial neural network computer prediction of ovarian malignancy in women with adnexal masses. Int. J. Gynecol. Obstet 89, 108-113 (2005)
-
(2005)
Int. J. Gynecol. Obstet
, vol.89
, pp. 108-113
-
-
Szpurek, D.1
-
28
-
-
0037454764
-
Prospective and randomised public-health trial on neural network-assisted screening for cervical cancer in finland: Results of the first year
-
Nieminen, P., Hakama, M., Viikki, M., Tarkkanen, J., Anttila, A.: Prospective and randomised public-health trial on neural network-assisted screening for cervical cancer in finland: Results of the first year. Int. J. Cancer 103, 422-426 (2003)
-
(2003)
Int. J. Cancer
, vol.103
, pp. 422-426
-
-
Nieminen, P.1
Hakama, M.2
Viikki, M.3
Tarkkanen, J.4
Anttila, A.5
-
29
-
-
33745645861
-
-
De Smet, F., De Brabanter, J., Van den Bosch, T., et al.: New models to predict depth of infiltration in endometrial carcinoma based on transvaginal sonography. Ultrasound Obst. Gyn. 27, 664-671 (2006)
-
De Smet, F., De Brabanter, J., Van den Bosch, T., et al.: New models to predict depth of infiltration in endometrial carcinoma based on transvaginal sonography. Ultrasound Obst. Gyn. 27, 664-671 (2006)
-
-
-
-
30
-
-
4944248113
-
Prediction of clinical outcome using gene expression profiling and artificial neural networks for patients with neuroblastoma
-
Wei, J.S., Greer, B.T., Westermann, F., et al: Prediction of clinical outcome using gene expression profiling and artificial neural networks for patients with neuroblastoma, Cancer Res. 64, 6883-6891 (2004)
-
(2004)
Cancer Res
, vol.64
, pp. 6883-6891
-
-
Wei, J.S.1
Greer, B.T.2
Westermann, F.3
-
31
-
-
33947511816
-
Diagnosis of the small round blue cell tumors using multiplex polymerase chain reaction
-
Chen, Q.R., Vansant, G., Oades, K., et al.: Diagnosis of the small round blue cell tumors using multiplex polymerase chain reaction. J. Mol. Diagn. 9, 80-88 (2007)
-
(2007)
J. Mol. Diagn
, vol.9
, pp. 80-88
-
-
Chen, Q.R.1
Vansant, G.2
Oades, K.3
-
32
-
-
33744494091
-
Principal component analysis and artificial neural network analysis of oral tissue fluorescence spectra: Classification of normal premalignant and malignant pathological conditions
-
Nayak, G.S., et al.: Principal component analysis and artificial neural network analysis of oral tissue fluorescence spectra: Classification of normal premalignant and malignant pathological conditions. Biopolymers 82, 152-166 (2006)
-
(2006)
Biopolymers
, vol.82
, pp. 152-166
-
-
Nayak, G.S.1
-
33
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Gene selection for cancer classification using support vector machines. Mach. Learn. 46, 389-422 (2002)
-
(2002)
Mach. Learn
, vol.46
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
34
-
-
11144351004
-
GenSo-FDSS: A neural-fuzzy decision support system for pediatric all cancer subtype identification using gene expression data
-
Tung, W.L., Quek, C.: GenSo-FDSS: a neural-fuzzy decision support system for pediatric all cancer subtype identification using gene expression data. Artif. Intell. Med. 33, 61-88 (2005)
-
(2005)
Artif. Intell. Med
, vol.33
, pp. 61-88
-
-
Tung, W.L.1
Quek, C.2
-
35
-
-
18244409933
-
Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
-
Shipp, M.A., et al.: Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nat. Med. 8, 68-74 (2002)
-
(2002)
Nat. Med
, vol.8
, pp. 68-74
-
-
Shipp, M.A.1
-
36
-
-
1442264195
-
Neural networks for computer-aided diagnosis: Detection of lung nodules in chest radiograms. IEEE T
-
Coppini, G., Diciotti, S., Falchini, M., Villari, N., Valli, G.: Neural networks for computer-aided diagnosis: Detection of lung nodules in chest radiograms. IEEE T. Inf. Technol B. 7, 344-357 (2003)
-
(2003)
Inf. Technol B
, vol.7
, pp. 344-357
-
-
Coppini, G.1
Diciotti, S.2
Falchini, M.3
Villari, N.4
Valli, G.5
-
37
-
-
18144405032
-
Thoracic non-rigid registration combining self-organizing maps and radial basis functions
-
Matsopoulos, G.K., Mouravliansky, N.A., Asvestas, P.A., Delibasis, K.K., Kouloulias, V.: Thoracic non-rigid registration combining self-organizing maps and radial basis functions. Med. Image Anal. 9, 237-254 (2003)
-
(2003)
Med. Image Anal
, vol.9
, pp. 237-254
-
-
Matsopoulos, G.K.1
Mouravliansky, N.A.2
Asvestas, P.A.3
Delibasis, K.K.4
Kouloulias, V.5
-
38
-
-
21144450472
-
Detection of lung cancer by sensor array analyses of exhaled breath
-
Machado, R.F., Laskowski, D., et al.: Detection of lung cancer by sensor array analyses of exhaled breath. Am. J. Resp. Crit. Care 171, 1286-1291 (2005)
-
(2005)
Am. J. Resp. Crit. Care
, vol.171
, pp. 1286-1291
-
-
Machado, R.F.1
Laskowski, D.2
-
39
-
-
0037211848
-
Multiple classifier system for early melanoma diagnosis
-
Sboner, A., Eccher, C., Blanzieri, E., et al.: Multiple classifier system for early melanoma diagnosis. Artif. Intell. Med. 27, 29-44 (2003)
-
(2003)
Artif. Intell. Med
, vol.27
, pp. 29-44
-
-
Sboner, A.1
Eccher, C.2
Blanzieri, E.3
-
40
-
-
10744225482
-
Noninvasive in vivo detection of prognostic indicators for high-risk uveal melanoma: Ultrasound parameter imaging
-
Coleman, D.J., Silverman, R.H., Rondeau, M.J., et al.: Noninvasive in vivo detection of prognostic indicators for high-risk uveal melanoma: Ultrasound parameter imaging. Ophthalmology 111, 558-564 (2004)
-
(2004)
Ophthalmology
, vol.111
, pp. 558-564
-
-
Coleman, D.J.1
Silverman, R.H.2
Rondeau, M.J.3
-
41
-
-
34347230846
-
Double-blind evaluation and benchmarking of prognostic models in a multi-centre study
-
In press
-
Taktak, A., Antolini, L., et al.: Double-blind evaluation and benchmarking of prognostic models in a multi-centre study. Comput. Biol. Med (In press)
-
Comput. Biol. Med
-
-
Taktak, A.1
Antolini, L.2
-
42
-
-
33847067088
-
Evaluation of digital dermoscopy in a pigmented lesion clinic: Clinician versus computer assessment of malignancy risk
-
In press
-
Boldrick, J.C., Layton, C.J., Nguyen, J., Swetter, S.M.: Evaluation of digital dermoscopy in a pigmented lesion clinic: Clinician versus computer assessment of malignancy risk. J. Am. Acad. Dermatol (In press)
-
J. Am. Acad. Dermatol
-
-
Boldrick, J.C.1
Layton, C.J.2
Nguyen, J.3
Swetter, S.M.4
-
43
-
-
31744448422
-
Computer technology in detection and staging of prostate carcinoma: A review
-
Zhu, Y., Williams, S., Zwiggelaar, R.: Computer technology in detection and staging of prostate carcinoma: A review. Med. Image Anal. 10, 178-199 (2006)
-
(2006)
Med. Image Anal
, vol.10
, pp. 178-199
-
-
Zhu, Y.1
Williams, S.2
Zwiggelaar, R.3
-
44
-
-
4243076204
-
Classification of incidental carcinoma of the prostate using learning vector quantization and support vector machines
-
Mattfeldt, T., Trijic, D., Gottfried, H. W., Kestler, H.A.: Classification of incidental carcinoma of the prostate using learning vector quantization and support vector machines. Cell. Oncol. 26, 45-55 (2004)
-
(2004)
Cell. Oncol
, vol.26
, pp. 45-55
-
-
Mattfeldt, T.1
Trijic, D.2
Gottfried, H.W.3
Kestler, H.A.4
-
45
-
-
33746773585
-
Handling outliers in brain tumour MRS data analysis through robust topographic mapping
-
Vellido, A., Lisboa, P.J.G.: Handling outliers in brain tumour MRS data analysis through robust topographic mapping. Comput. Biol. Med. 36, 1049-1063 (2006)
-
(2006)
Comput. Biol. Med
, vol.36
, pp. 1049-1063
-
-
Vellido, A.1
Lisboa, P.J.G.2
-
46
-
-
0037228026
-
Automated classification of short echo time in in vivo IH brain tumor spectra: A multicenter study
-
Tate, A.R., Majós, C., Moreno, A., Howe, F.A., Griffiths, J.R., Arús, C.: Automated classification of short echo time in in vivo IH brain tumor spectra: A multicenter study. Magn. Reson. Med. 49, 29-36 (2003)
-
(2003)
Magn. Reson. Med
, vol.49
, pp. 29-36
-
-
Tate, A.R.1
Majós, C.2
Moreno, A.3
Howe, F.A.4
Griffiths, J.R.5
Arús, C.6
-
47
-
-
12544253828
-
Brain tumor demarcation by applying a LAMSTAR neural network to spectroscopy data
-
Sivaramakrishnan, A., Graupe, D.: Brain tumor demarcation by applying a LAMSTAR neural network to spectroscopy data. Neurol. Res. 26, 613-621 (2004)
-
(2004)
Neurol. Res
, vol.26
, pp. 613-621
-
-
Sivaramakrishnan, A.1
Graupe, D.2
-
48
-
-
0035871371
-
Artificial neural networks: Opening the black box
-
Dayhoff, J.E., DeLeo, J.M.: Artificial neural networks: Opening the black box. Cancer 91, 1615-1635 (2001)
-
(2001)
Cancer
, vol.91
, pp. 1615-1635
-
-
Dayhoff, J.E.1
DeLeo, J.M.2
-
49
-
-
33646840261
-
Bridging the gap between medical and bioinformatics: An ontological case study in colon carcinoma
-
Kumar, A., Yip, Y.L., Smith, B., Grenon, P.: Bridging the gap between medical and bioinformatics: An ontological case study in colon carcinoma. Comput. Biol. Med. 36, 694-711 (2006)
-
(2006)
Comput. Biol. Med
, vol.36
, pp. 694-711
-
-
Kumar, A.1
Yip, Y.L.2
Smith, B.3
Grenon, P.4
-
50
-
-
33646470217
-
Impact of missing data in evaluating artificial neural networks trained on complete data
-
Markey, M.K., Tourassi, G.D., Margolis, M., DeLong, D.M.: Impact of missing data in evaluating artificial neural networks trained on complete data. Comput. Biol. Med. 36, 516-525 (2006)
-
(2006)
Comput. Biol. Med
, vol.36
, pp. 516-525
-
-
Markey, M.K.1
Tourassi, G.D.2
Margolis, M.3
DeLong, D.M.4
-
51
-
-
33751248753
-
Missing data imputation through GTM as a mixture of t-distributions
-
Vellido, A.: Missing data imputation through GTM as a mixture of t-distributions. Neural Networks 19, 1624-1635 (2006)
-
(2006)
Neural Networks
, vol.19
, pp. 1624-1635
-
-
Vellido, A.1
-
52
-
-
0006117317
-
Neural Networks as Statistical Methods in Survival Analysis
-
Cambridge University Press, Cambridge
-
Ripley, B.D., Ripley, R.M.: Neural Networks as Statistical Methods in Survival Analysis. In: Clinical Applications of Artificial Neural Networks, pp. 237-255. Cambridge University Press, Cambridge (2001)
-
(2001)
Clinical Applications of Artificial Neural Networks
, pp. 237-255
-
-
Ripley, B.D.1
Ripley, R.M.2
-
54
-
-
0037291442
-
Evolutionary computing for knowledge discovery in medical diagnosis
-
Tan, K.C., Yu, Q., Heng, C.M., Lee, T.H.: Evolutionary computing for knowledge discovery in medical diagnosis. Artif. Intell. Med. 27, 129-154 (2003)
-
(2003)
Artif. Intell. Med
, vol.27
, pp. 129-154
-
-
Tan, K.C.1
Yu, Q.2
Heng, C.M.3
Lee, T.H.4
-
55
-
-
33750575081
-
Empirically derived rules for adjuvant chemotherapy in breast cancer treatment
-
Etchells, T.A., et al.: Empirically derived rules for adjuvant chemotherapy in breast cancer treatment. In: IEE Proc. of MEDSIP, pp. 345-351 (2004)
-
(2004)
IEE Proc. of MEDSIP
, pp. 345-351
-
-
Etchells, T.A.1
-
56
-
-
33845214650
-
Fuzzy rough sets hybrid scheme for breast cancer detection
-
Hassanien, A.E.: Fuzzy rough sets hybrid scheme for breast cancer detection. Image Vision Comput. 25, 172-183 (2007)
-
(2007)
Image Vision Comput
, vol.25
, pp. 172-183
-
-
Hassanien, A.E.1
-
57
-
-
0034728368
-
On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology
-
Schwartzer, G., et al.: On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology. Stat. Med. 19, 541-551 (2000)
-
(2000)
Stat. Med
, vol.19
, pp. 541-551
-
-
Schwartzer, G.1
-
58
-
-
84971357232
-
Commentary: Prognostic models: Clinically useful or quickly forgotten?
-
Wyatt, J.C., Altman, D.G.: Commentary: Prognostic models: Clinically useful or quickly forgotten? Brit. Med. J. 311, 1539 (1995)
-
(1995)
Brit. Med. J
, vol.311
, pp. 1539
-
-
Wyatt, J.C.1
Altman, D.G.2
|