IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 12 Issue 3 Computer Science English May - June 2024 N N Y 2024 06 05 Computer Sciences Advancing Medical Diagnostics with Deep Learning and Data Preprocessing English Y 143 147 Ruilin Xu English Y Yun Zi English N Lu Dai English N Haoran Yu English N Mengran Zhu English N https://doi.org/10.55524/ijircst.2024.12.3.24 To address the inefficiencies and inaccuracies in analyzing large-scale medical diagnostic datasets, this paper introduces a deep learning-based method for processing auxiliary medical diagnostic data. The proposed approach involves preprocessing the medical diagnostic data through normalization and principal component analysis to extract relevant features. Subsequently, a neural network utilizing a multilayer perceptron is employed to analyze the preprocessed data, facilitating diagnostic classification. It also provides intelligent support for medical professionals. The method was implemented and tested using the Python programming environment. Results indicate that the proposed approach achieves better performance than other comparative methods and demonstrates significant practical application potential.   English Deep Learning, Medical Auxiliary Diagnosis, Data Analysis, Principal Component Analysis, Multilayer Perceptron Neural Network. https://ijircst.org/abstract.php?article_id=1277