Application of artificial neural networks to clinical medicine

The Lancet

Volumn 346, Issue 8983, 1995, Pages 1135-1138

  Baxt, W G ^a  

^a HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE HEART INFARCTION; APPENDICITIS; CLINICAL PRACTICE; COMPUTER MODEL; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC VALUE; ELECTROCARDIOGRAPHY; EMERGENCY WARD; HUMAN; PRIORITY JOURNAL; REVIEW; THORAX PAIN; WAVEFORM;

EID: 0028788276     PISSN: 01406736     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0140-6736(95)91804-3     Document Type: Article

References (61)

1. Introduction to neural networks
2. Neural network paradigm comparisons for appendicitis diagnosis
3. A desktop neural network for dermatology diagnosis
4. A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders
5. Application of neural networks in medical diagnosis: the case of sexually-transmitted diseases
6. Application of neural networks to the classification of giant cell arteritis
7. A neural-network approach to predicting admission decisions in a psychiatric emergency room
8. Neural network in the clinical diagnosis of acute pulmonary embolism
9. A computer protocol to predict myocardial infarction in emergency department patients with chest pain
10. Use of an artificial neural network for data analysis in clinical decision-making the diagnosis of acute coronary occlusion
11. The early diagnosis of heart attacks: a neurocomputational approach
12. Use of an artificial neural network for the diagosis of myocardial infarction
13. A critical appraisal of research on the effects of computer-based decision support systems on clinician performance and patient outcomes
14. Diagnosis of focal bone lesions using neural networks
15. Automatic lung nodule detection using profile matching and back-propagation neural network techniques
16. Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer
17. Neural networks in radiologic diagnosis: II interpretation of neonatal chest radiographs
18. Application of artficial neural networks for reduction of false-positive detections in digital chest radiographs
19. Neural-network classification of normal and Alzheimer's disease subjects using high-resolution and low-resolution PET cameras
20. Evaluation of a neural-network classifier for PET scans of normal and Alzheimer's disease subjects
21. Application of neural networks to automated assignment of NMR spectra of proteins
22. The use of computer-assisted diagnosis in cardiac perfusion nuclear medicine studies: a review (part 3)
23. A neural network classifier for cerebral perfusion imaging
24. Neural networks for analysis of ECG complexes
25. Applications of artificial neural networks for ECG signal detection and classification
26. Diagnostic ECG classification based on neural networks
27. Detection of electrocardiographic 'left ventricular strain' using neural nets
28. Neural networks for classification of ECG ST-T segments
29. Classification of electrocardiographic ST-T segments—human expert vs artificial neural network
30. Personal computer system for ECG ST-segment recognition based on neural networks
31. Differentiation of beats of ventricular and sinus origin using a self-training neural network
32. Recognition of ventricular fibrillation using neural networks
33. Implantable cardioverter defibrillator electrogram recognition with a multilayer perceptron
34. Artificial neural networks in computer-assisted classification of heart sounds in patients with porcine bioprosthetic valves
35. Application of neural networks for EEG analysis Consideration and first results
36. Discrimination between demented patients and normals based on topographic EEG slow wave activity: comparison between z statistics, discriminant analysis and artificial neural network classifiers
37. Pattern recognition of the electroencephalogram by artificial neural networks
38. Feature-based detection of the K-complex wave in the human electroencephalogram using neural networks
39. Neural network based classification of single- trial EEG data
40. Modeling mortality in the intensive care unit: comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression
41. Artificial neural networks for predicting failure to survive following in-hospital cardiopulmonary resuscitation
42. Artificial neural networks in the daignosis and prognosis of prostate cancer: a pilot study
43. A comparison of statistical and connectionist models for the prediction of chronicity in a surgical intensive care unit
44. Simulated neural networks to predict outcomes, costs, and length of stay among orthopedic rehabilitation patients
45. Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery
46. Artificial neural networks for cancer research outcome prediction
47. A practical application of neural network analysis for predicting outcome of inividual breast cancer patients
48. Application of backpropagation neural networks to diagnosis of breast and ovarian cancer
49. Application of neural networks to the interpretation of laboratory data in cancer diagnosis
50. Advanced ovarian cancer. Neural network analysis to predict treatment outcome
51. Predicting outcomes after liver transplantation: a connectionist approach
52. Prediction of valve-related complications for artificial heart valves using adaptive neural networks: a preliminary study
53. Neural net-bootstrap hybrid methods for prediction of complications in patients implanted with artificial heart valves
54. Predictive statistics and artificial intelligence in the US National Cancer Institute's Drug Discovery Program for Cancer and AIDS
55. A genetic algorithm to improve a neural network to predict a patients' response to warfarin
56. Application of neural networks to pharmacodynamics
57. Evaluating black-boxes as medical decision aids: issues arising from a study of neural networks