Medical applications of artificial neural networks : connectionist models of survival

[1]  Horst Bischof,et al.  Pyramidal Neural Networks , 1995 .

[2]  P W Macfarlane,et al.  Deterministic logic versus software-based artificial neural networks in the diagnosis of atrial fibrillation. , 1993, Journal of electrocardiology.

[3]  B. Efron Bootstrap Methods: Another Look at the Jackknife , 1979 .

[4]  D. Cox,et al.  Analysis of Survival Data. , 1985 .

[5]  T Creagh-Kirk,et al.  Racial and ethnic differences in outcome in zidovudine-treated patients with advanced HIV disease. Zidovudine Epidemiology Study Group. , 1991, JAMA.

[6]  R. Lin,et al.  The role of oral candidiasis in survival and hospitalization patterns: analysis of an inner city hospital human immunodeficiency virus/acquired immune deficiency syndrome registry. , 1993, The American journal of the medical sciences.

[7]  R.N. Scott,et al.  A new strategy for multifunction myoelectric control , 1993, IEEE Transactions on Biomedical Engineering.

[8]  T. Dawber,et al.  The Framingham Study: The Epidemiology of Atherosclerotic Disease , 1980 .

[9]  Marvin Minsky,et al.  Perceptrons: An Introduction to Computational Geometry , 1969 .

[10]  H. Kappen,et al.  Neural network analysis to predict treatment outcome , 1993 .

[11]  N Clumeck,et al.  Treatment of Toxoplasmic Encephalitis in Patients with AIDS , 1992, Annals of Internal Medicine.

[12]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[13]  I M Longini,et al.  The dynamics of CD4+ T-lymphocyte decline in HIV-infected individuals: a Markov modeling approach. , 1991, Journal of acquired immune deficiency syndromes.

[14]  J. Swets The Relative Operating Characteristic in Psychology , 1973, Science.

[15]  J. Phair,et al.  Effect of zidovudine and Pneumocystis carinii pneumonia prophylaxis on progression of HIV-1 infection to AIDS , 1991, The Lancet.

[16]  Steve Selvin,et al.  Statistical Analysis of Epidemiological Data , 1995 .

[17]  Alain Moise,et al.  A test for crossing receiver operating characteristic (roc) curves , 1988 .

[18]  I. Bernstein Applied Multivariate Analysis , 1988 .

[19]  R. Palmer,et al.  Introduction to the theory of neural computation , 1994, The advanced book program.

[20]  Ricardo Veronesi,et al.  Doenças infecciosas e parasitárias , 1991 .

[21]  J. Hanley,et al.  Statistical Approaches to the Analysis of Receiver Operating Characteristic (ROC) Curves , 1984, Medical decision making : an international journal of the Society for Medical Decision Making.

[22]  S K Rogers,et al.  Artificial neural networks for early detection and diagnosis of cancer. , 1994, Cancer letters.

[23]  R. D'Agostino,et al.  Diabetes, fibrinogen, and risk of cardiovascular disease: the Framingham experience. , 1990, American heart journal.

[24]  McAuliffe Jd Data compression of the exercise ECG using a Kohonen neural network. , 1993 .

[25]  James H. Ware,et al.  On distribution-free tests for equality of survival distributions , 1977 .

[26]  E. Kaplan,et al.  Nonparametric Estimation from Incomplete Observations , 1958 .

[27]  Y. Chiou,et al.  Hybrid lung nodule detection (HLND) system. , 1994, Cancer letters.

[28]  A. Capurso,et al.  Lipid metabolism and cardiovascular risk: should hypercholesterolemia be treated in the elderly? , 1992, Journal of hypertension. Supplement : official journal of the International Society of Hypertension.

[29]  S. Glantz,et al.  Primer of Applied Regression & Analysis of Variance , 1990 .

[30]  Bernard Widrow,et al.  Adaptive switching circuits , 1988 .

[31]  T Creagh-Kirk,et al.  Natural history of advanced HIV disease in patients treated with zidovudine. The Zidovudine Epidemiology Study Group. , 1992, AIDS.

[32]  S. R. Searle Linear Models , 1971 .

[33]  W. Kannel,et al.  Hematocrit and the risk of cardiovascular disease--the Framingham study: a 34-year follow-up. , 1994, American heart journal.

[34]  David E. Rumelhart,et al.  MSnet: A Neural Network which Classifies Mass Spectra , 1990 .

[35]  W. Kannel,et al.  Epidemiology of sudden coronary death: population at risk. , 1990, The Canadian journal of cardiology.

[36]  R. Linder,et al.  Neural network approach for computer-assisted interpretation of ultrasound images of the gallbladder. , 1993, European journal of radiology.

[37]  W. Baxt Analysis of the clinical variables driving decision in an artificial neural network trained to identify the presence of myocardial infarction. , 1992, Annals of emergency medicine.

[38]  P M Ravdin,et al.  Neural Network Analysis of DNA flow cytometry histograms. , 1993, Cytometry.

[39]  G Reibnegger,et al.  Individual probability for onset of full-blown disease in patients infected with human immunodeficiency virus type 1. , 1991, Clinical chemistry.

[40]  Bernhard R. Kämmerer,et al.  Experiments for isolated-word recognition with single- and two-layer perceptrons , 1990, Neural Networks.

[41]  B. Truman,et al.  Survival with the acquired immunodeficiency syndrome. Experience with 5833 cases in New York City. , 1987, The New England journal of medicine.

[42]  K C Cain,et al.  Total serum cholesterol levels and mortality risk as a function of age. A report based on the Framingham data. , 1993, Archives of internal medicine.

[43]  A Muñoz,et al.  Predictors of the risk of development of acquired immunodeficiency syndrome within 24 months among gay men seropositive for human immunodeficiency virus type 1: a report from the Multicenter AIDS Cohort Study. , 1992, American journal of epidemiology.

[44]  Stephen I. Gallant,et al.  Connectionist expert systems , 1988, CACM.

[45]  Suraiya Rasheed,et al.  Human immunodeficiency virus‐related lymphoma. Prognostic factors predictive of survival , 1991, Cancer.

[46]  田中 穂積 E.H.Shortliffe 著, "Computer-Based Medical Consultations : MYCIN", American Elsevier, A4判, 264ぺージ, \10,080, 1976 , 1978 .

[47]  O Pahlm,et al.  Artificial neural networks for the electrocardiographic diagnosis of healed myocardial infarction. , 1994, The American journal of cardiology.

[48]  J. L. Willems,et al.  Diagnostic ECG classification based on neural networks. , 1993, Journal of electrocardiology.

[49]  R B D'Agostino,et al.  Long-term intraindividual cholesterol variability: natural course and adverse impact on morbidity and mortality--the Framingham Study. , 1994, American heart journal.

[50]  Ronald Christensen,et al.  Log-Linear Models , 1994 .

[51]  M. van Beuzekom,et al.  Survival with AIDS in Massachusetts, 1979 to 1989. , 1993, American journal of public health.

[52]  H. Libman,et al.  Pathogenesis, natural history, and classification of HIV infection. , 1992, Primary care.

[53]  Ralph D'Agostino,et al.  Benefits and Adverse Effects of Weight Loss: Observations from the Framingham Study , 1993, Annals of Internal Medicine.

[54]  P. S. Maclin,et al.  How to improve a neural network for early detection of hepatic cancer. , 1994, Cancer letters.

[55]  J F Fries,et al.  Health status among persons infected with human immunodeficiency virus. A community-based study. , 1993, Medical care.

[56]  C. Horsburgh,et al.  Survival prognosis of HIV-infected patients. , 1993, Journal of acquired immune deficiency syndromes.

[57]  G Reibnegger,et al.  Neopterin as a predictive marker for disease progression in human immunodeficiency virus type 1 infection. , 1989, Clinical chemistry.

[58]  L Ohno-Machado,et al.  Identification of low frequency patterns in backpropagation neural networks. , 1994, Proceedings. Symposium on Computer Applications in Medical Care.

[59]  Matsuoka,et al.  Syllable recognition using integrated neural networks , 1989 .

[60]  W. Haenszel,et al.  Statistical aspects of the analysis of data from retrospective studies of disease. , 1959, Journal of the National Cancer Institute.

[61]  Dana H. Ballard Modular learning in hierarchical neural networks , 1993 .

[62]  E. Somoza,et al.  A Neural-network Approach to Predicting Admission Decisions in a Psychiatric Emergency Room , 1993, Medical decision making : an international journal of the Society for Medical Decision Making.

[63]  P. Wilson,et al.  Serum cholesterol as a prognostic factor after myocardial infarction: the Framingham Study. , 1991, Annals of internal medicine.

[64]  G. Rutherford,et al.  Survival trends for patients with AIDS. , 1990, JAMA.

[65]  J F Fries,et al.  Quality of life and health service use among HIV-infected patients with chronic diarrhea. , 1993, Journal of acquired immune deficiency syndromes.

[66]  G S Doig,et al.  Modeling mortality in the intensive care unit: comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression. , 1993, Proceedings. Symposium on Computer Applications in Medical Care.

[67]  James A. Reggia,et al.  Neural computation in medicine , 1993, Artif. Intell. Medicine.

[68]  Elisa T. Lee,et al.  Statistical Methods for Survival Data Analysis , 1994, IEEE Transactions on Reliability.

[69]  S K Mun,et al.  Application of artificial neural networks for reduction of false-positive detections in digital chest radiographs. , 1993, Proceedings. Symposium on Computer Applications in Medical Care.

[70]  R B D'Agostino,et al.  Diet, menopause, and serum cholesterol levels in women: the Framingham Study. , 1993, American heart journal.

[71]  Tomas Hrycej,et al.  Modular Learning in Neural Networks: A Modularized Approach to Neural Network Classification , 1992 .

[72]  D. Cox Regression Models and Life-Tables , 1972 .

[73]  Naomi E. Aronson,et al.  Predictors of HIV‐1 Disease Progression in Early‐ and Late‐Stage Patients: The U.S. Army Natural History Cohort , 1992, Journal of acquired immune deficiency syndromes.

[74]  T. Buchman,et al.  A comparison of statistical and connectionist models for the prediction of chronicity in a surgical intensive care unit , 1994, Critical care medicine.

[75]  James P. Egan,et al.  Signal detection theory and ROC analysis , 1975 .

[76]  R. Chlebowski,et al.  Nutritional status, gastrointestinal dysfunction, and survival in patients with AIDS. , 1989, The American journal of gastroenterology.

[77]  F. Real,et al.  Immunological variables as predictors of prognosis in patients with Kaposi's sarcoma and the acquired immunodeficiency syndrome. , 1986, Cancer research.

[78]  J Aragón,et al.  Analysis of disease progression from clinical observations of US Air Force active duty members infected with the human immunodeficiency virus: distribution of AIDS survival time from interval-censored observations. , 1993, Vaccine.

[79]  D. Levy,et al.  Lipids and risk of coronary heart disease. The Framingham Study. , 1992, Annals of epidemiology.

[80]  P. Wilson,et al.  Effects of Age, Sex, and Menopausal Status on Plasma Lipoprotein(a) Levels The Framingham Offspring Study , 1993, Circulation.

[81]  D. F. Percy,et al.  Multivariate analysis of cholesterol distribution for monitoring the risk of coronary heart disease. , 1993, Statistics in medicine.

[82]  R B D'Agostino,et al.  The health risks of smoking. The Framingham Study: 34 years of follow-up. , 1993, Annals of epidemiology.

[83]  M. Rotondo,et al.  A new approach to probability of survival scoring for trauma quality assurance. , 1992, The Journal of trauma.

[84]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[85]  W. Baxt Use of an artificial neural network for the diagnosis of myocardial infarction. , 1991, Annals of internal medicine.

[86]  N. Breslow A generalized Kruskal-Wallis test for comparing K samples subject to unequal patterns of censorship , 1970 .

[87]  Elisa T. Lee,et al.  Statistical Methods for Survival Data Analysis , 1994, IEEE Transactions on Reliability.

[88]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[89]  J. Hanley,et al.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.

[90]  Ryohei Nakatsu,et al.  Syllable recognition using integrated neural networks , 1989, International 1989 Joint Conference on Neural Networks.

[91]  M. Ebell Artificial neural networks for predicting failure to survive following in-hospital cardiopulmonary resuscitation. , 1993, The Journal of family practice.

[92]  M C Mihm,et al.  Multivariate Analysis: Some Guidelines for Physicians , 1983 .

[93]  J M Taylor,et al.  The prognostic value of cellular and serologic markers in infection with human immunodeficiency virus type 1. , 1990, The New England journal of medicine.

[94]  Ronald L. Rivest,et al.  Introduction to Algorithms , 1990 .

[95]  P. Peretto An introduction to the modeling of neural networks , 1992 .

[96]  K. Anderson,et al.  Cardiovascular disease risk profiles. , 1991, American heart journal.

[97]  S J Evans,et al.  Differentiation of Beats of Ventricular and Sinus Origin Using a Self‐Training Neural Network , 1994, Pacing and clinical electrophysiology : PACE.

[98]  J. Hilden The Area under the ROC Curve and Its Competitors , 1991, Medical decision making : an international journal of the Society for Medical Decision Making.

[99]  N. A. B. Gray,et al.  Constraints on "learning machine" classification methods , 1976 .

[100]  W. Kannel,et al.  Hypertension as a Risk Factor for Cardiac Events—Epidemiologic Results of Long‐Term Studies , 1993, Journal of cardiovascular pharmacology.

[101]  M. Engler,et al.  New guidelines for blood cholesterol by the National Cholesterol Education Program (NCEP). National Cholesterol Education Program (NCEP). , 1994, Progress in cardiovascular nursing.

[102]  O Pahlm,et al.  Neural networks for analysis of ECG complexes. , 1993, Journal of electrocardiology.

[103]  A R Feinstein,et al.  A new prognostic staging system for the acquired immunodeficiency syndrome. , 1989, The New England journal of medicine.

[104]  A. Rosen,et al.  Survival and mortality patterns of an acquired immunodeficiency syndrome (AIDS) cohort in New York State. , 1993, American journal of epidemiology.

[105]  M. McPherson,et al.  PCR 2 : a practical approach , 2016 .

[106]  N. Temple,et al.  Blood Cholesterol and Coronary Heart Disease: Changing Perspectives , 1994, Journal of the Royal Society of Medicine.

[107]  G. Brier,et al.  External correspondence: Decompositions of the mean probability score , 1982 .

[108]  C. Pedersen,et al.  The development of AIDS or AIDS‐related conditions in a cohort of HIV antibody‐positive homosexual men during a 3‐year follow‐up period , 1989, Journal of internal medicine.

[109]  J. Ward,et al.  Statistical analysis of the stages of HIV infection using a Markov model. , 1989, Statistics in medicine.

[110]  Marco Ferretti,et al.  Pyramidal Architectures for Computer Vision , 1994, Advances in Computer Vision and Machine Intelligence.

[111]  U. P. S. T. Force,et al.  Guide to clinical preventive services : an assessment of the effectiveness of 169 interventions : report of the U.S. Preventive Services Task Force , 1989 .

[112]  A M Epstein,et al.  Effect of changing patterns of care and duration of survival on the cost of treating the acquired immunodeficiency syndrome (AIDS). , 1990, American journal of public health.

[113]  D. D. Ingram,et al.  Empirical comparisons of proportional hazards and logistic regression models. , 1989, Statistics in medicine.

[114]  M. J. Maron,et al.  Numerical Analysis: A Practical Approach , 1982 .

[115]  R. D'Agostino,et al.  Update on fibrinogen as a cardiovascular risk factor. , 1992, Annals of epidemiology.

[116]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[117]  D A Redelmeier,et al.  Assessing predictive accuracy: how to compare Brier scores. , 1991, Journal of clinical epidemiology.

[118]  P Laursen Event detection on patient monitoring data using Causal Probabilistic Networks. , 1994, Methods of information in medicine.

[119]  R B D'Agostino,et al.  Influence of heart rate on mortality among persons with hypertension: the Framingham Study. , 1993, American heart journal.

[120]  J. Montaner,et al.  Susceptibility to AIDS progression appears early in HIV infection , 1990, AIDS.

[121]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[122]  M A Fischl,et al.  The toxicity of azidothymidine (AZT) in the treatment of patients with AIDS and AIDS-related complex. A double-blind, placebo-controlled trial. , 1987, The New England journal of medicine.

[123]  M Yearworth,et al.  Artificial neural networks in diagnosis of thyroid function from in vitro laboratory tests. , 1993, Clinical chemistry.

[124]  J. Tu,et al.  Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery. , 1993, Computers and biomedical research, an international journal.

[125]  Anders Krogh,et al.  Introduction to the theory of neural computation , 1994, The advanced book program.

[126]  K Doi,et al.  Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network. , 1994, Medical physics.

[127]  H. Burke,et al.  Artificial neural networks for cancer research: outcome prediction. , 1994, Seminars in surgical oncology.

[128]  F. Ederer,et al.  Maximum utilization of the life table method in analyzing survival. , 1958, Journal of chronic diseases.

[129]  Kunihiko Fukushima,et al.  Neocognitron: A hierarchical neural network capable of visual pattern recognition , 1988, Neural Networks.

[130]  Bruce I. Cohen,et al.  MacMatch: a tool for pattern-based protein secondary structure prediction , 1993, Comput. Appl. Biosci..

[131]  Mann A. Shoffner,et al.  Application of backpropagation neural networks to diagnosis of breast and ovarian cancer. , 1994, Cancer letters.

[132]  P. Alcabes,et al.  Correlates of the rate of decline of CD4+ lymphocytes among injection drug users infected with the human immunodeficiency virus. , 1993, American journal of epidemiology.

[133]  M Akay,et al.  Acoustical detection of coronary occlusions using neural networks. , 1993, Journal of biomedical engineering.

[134]  A C Ward,et al.  Rapid identification of species within the Mycobacterium tuberculosis complex by artificial neural network analysis of pyrolysis mass spectra. , 1994, Journal of medical microbiology.

[135]  K. Mehrotra,et al.  Prediction criteria for successful weaning from respiratory support: Statistical and connectionist analyses , 1992, Critical care medicine.

[136]  F E Harrell,et al.  The Covariance Decomposition of the Probability Score and Its Use in Evaluating Prognostic Estimates , 1995, Medical decision making : an international journal of the Society for Medical Decision Making.

[137]  J. Räsänen,et al.  Neural Network‐Based Detection of Esophageal Intubation , 1994, Anesthesia and analgesia.

[138]  T. Quinn,et al.  AIDS in the Americas: a public health priority for the region. , 1990, AIDS.

[139]  D. Kleinbaum,et al.  Applied Regression Analysis and Other Multivariate Methods , 1978 .

[140]  Michael D. Stein,et al.  An Exploratory Analysis of Survival with AIDS Using a Nonparametric Tree-Structured Approach , 1992, Epidemiology.

[141]  D. Levy,et al.  Survival After the Onset of Congestive Heart Failure in Framingham Heart Study Subjects , 1993, Circulation.

[142]  P Pezzotti,et al.  Estimation of the acquired immunodeficiency syndrome incubation period in intravenous drug users: a comparison with male homosexuals. , 1992, American journal of epidemiology.

[143]  M. Stone Cross-validation:a review 2 , 1978 .

[144]  Martin G. Larson,et al.  Long-Term Epidemiologic Prediction of Coronary Disease , 1993 .

[145]  D. Lowe,et al.  Exploiting prior knowledge in network optimization: an illustration from medical prognosis , 1990 .

[146]  David Collett Modelling Survival Data in Medical Research , 1994 .

[147]  J. D. H. Freeman Applied categorical data analysis , 1987 .

[148]  R C Quijano,et al.  Neural net-bootstrap hybrid methods for prediction of complications in patients implanted with artificial heart valves. , 1994, The Journal of heart valve disease.

[149]  D. Rumelhart,et al.  Generalization by weight-elimination applied to currency exchange rate prediction , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

[150]  G. Hripcsak Using Connectionist Modules for Decision Support , 1990, Methods of Information in Medicine.

[151]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[152]  M L Astion,et al.  Application of neural networks to the classification of giant cell arteritis. , 1994, Arthritis and rheumatism.

[153]  W. Kannel,et al.  Smoking and hypertension as predictors of cardiovascular risk in population studies. , 1990, Journal of hypertension. Supplement : official journal of the International Society of Hypertension.

[154]  P. Selwyn,et al.  Clinical manifestations and predictors of disease progression in drug users with human immunodeficiency virus infection. , 1992, The New England journal of medicine.

[155]  C. W. Morris,et al.  Neural network analysis of flow cytometric data for 40 marine phytoplankton species. , 1994, Cytometry.

[156]  Sung-Bae Cho,et al.  Hierarchically structured neural networks for printed Hangul character recognition , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[157]  M. Grever,et al.  Predictive statistics and artificial intelligence in the U.S. National Cancer Institute's drug discovery program for cancer and AIDS , 1994, Stem cells.

[158]  A Murray,et al.  Development of a neural network screening aid for diagnosing lower limb peripheral vascular disease from photoelectric plethysmography pulse waveforms. , 1993, Physiological measurement.

[159]  W. Knaus,et al.  The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. , 1991, Chest.

[160]  D L Patrick,et al.  Race and survival time with AIDS: a synthesis of the literature. , 1993, American journal of public health.

[161]  P M Ravdin,et al.  Treatment decisions in axillary node-negative breast cancer patients. , 1992, Journal of the National Cancer Institute. Monographs.

[162]  Johannes R. Sveinsson,et al.  Parallel consensual neural networks , 1997, IEEE Trans. Neural Networks.

[163]  R B D'Agostino,et al.  Relation of pooled logistic regression to time dependent Cox regression analysis: the Framingham Heart Study. , 1990, Statistics in medicine.

[164]  A Wilkins,et al.  Clinical and laboratory predictors of survival in Gambian patients with symptomatic HIV‐1 or HIV‐2 infection , 1992, AIDS.

[165]  R. Centor Signal Detectability , 1991, Medical decision making : an international journal of the Society for Medical Decision Making.

[166]  M. P. Griffin,et al.  The Dynamic Range of Neonatal Heart Rate Variability , 1994, Journal of cardiovascular electrophysiology.

[167]  D. O. Hebb,et al.  The organization of behavior , 1988 .

[168]  Roger Detels,et al.  Racial and Ethnic Differences In Human Immunodeficiency Virus Type 1 (HIV-1) Seroprevalence among Homosexual and Bisexual Men , 1993 .

[169]  M R Segal,et al.  A comparison of estimated proportional hazards models and regression trees. , 1989, Statistics in medicine.

[170]  J E Harris,et al.  Improved short-term survival of AIDS patients initially diagnosed with Pneumocystis carinii pneumonia, 1984 through 1987. , 1990, JAMA.

[171]  Geoffrey E. Hinton,et al.  Adaptive Mixtures of Local Experts , 1991, Neural Computation.

[172]  Ryszard S. Michalski,et al.  Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study , 1980 .

[173]  K. Coburn,et al.  EEG-based, neural-net predictive classification of Alzheimer's disease versus control subjects is augmented by non-linear EEG measures. , 1994, Electroencephalography and clinical neurophysiology.

[174]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[175]  D. Levy,et al.  The epidemiology of heart failure: the Framingham Study. , 1993, Journal of the American College of Cardiology.

[176]  S Mitchell,et al.  Predicting Outcomes After Liver Transplantation A Connectionist Approach , 1994, Annals of surgery.

[177]  B. Klöppel,et al.  Application of neural networks for EEG analysis. Considerations and first results. , 1994, Neuropsychobiology.

[178]  Douglas D. Richman,et al.  Racial and Ethnic Differences in Outcome in Zidovudine-Treated Patients With Advanced HIV Disease , 1991 .

[179]  R. Chaisson,et al.  Zidovudine and the natural history of the acquired immunodeficiency syndrome. , 1991, The New England journal of medicine.

[180]  R. M. Siegel,et al.  Pattern recognition of the electroencephalogram by artificial neural networks. , 1993, Electroencephalography and clinical neurophysiology.

[181]  W. Kannel,et al.  Regional obesity and risk of cardiovascular disease; the Framingham Study. , 1991, Journal of clinical epidemiology.

[182]  D. F. Preston,et al.  Application of a virtual neurode in a model thyroid diagnostic network. , 1991, Proceedings. Symposium on Computer Applications in Medical Care.

[183]  D. M. Titterington,et al.  Neural Networks: A Review from a Statistical Perspective , 1994 .

[184]  R C Quijano,et al.  Prediction of valve-related complications for artificial heart valves using adaptive neural networks: a preliminary study. , 1993, The Journal of heart valve disease.

[185]  Stephen Grossberg,et al.  The ART of adaptive pattern recognition by a self-organizing neural network , 1988, Computer.

[186]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[187]  B. Efron Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation , 1983 .

[188]  Carver Mead,et al.  Silicon Models of Neural Computation , 1989 .

[189]  R B D'Agostino,et al.  Comparison of baseline and repeated measure covariate techniques in the Framingham Heart Study. , 1988, Statistics in medicine.

[190]  P. McBride,et al.  Management of Older Adults with Hypercholesterolaemia , 1994, Drugs & aging.

[191]  F Van Lente,et al.  Diagnostic accuracy of pancreatic enzymes evaluated by use of multivariate data analysis. , 1993, Clinical chemistry.

[192]  H. Semlitsch,et al.  Discrimination between demented patients and normals based on topographic EEG slow wave activity: comparison between z statistics, discriminant analysis and artificial neural network classifiers. , 1994, Electroencephalography and clinical neurophysiology.