Medical Diagnosis Using Artificial Neural Networks
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Advanced conceptual modeling techniques serve as a powerful tool for those in the medical field by increasing the accuracy and efficiency of the diagnostic process. The application of artificial intelligence assists medical professionals to analyze and comprehend a broad range of medical data, thus eliminating the potential for human error. Medical Diagnosis Using Artificial Neural Networks introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes. This book is an essential reference work for academicians, professionals, researchers, and students interested in the relationship between artificial intelligence and medical science through the use of informatics to improve the quality of medical care.
| Publisher Name | Medical Information Science Reference |
|---|---|
| Author Name | Hagendorf, Col |
| Format | Audio |
| Bisac Subject Major | MED |
| Language | NG |
| Isbn 10 | 1466661461 |
| Isbn 13 | 9781466661462 |
| Target Age Group | min:NA, max:NA |
| Dimensions | 01.00" H x 00.07" L x 00.00" W |
| Page Count | 310 |
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