利用基于网络的 cnn 算法实现深度学习的药物类型检测

Rendra Soekarta, Muhammad Yusuf, Muh. Fadli Hasa, Nurul Annisa Basri
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摘要

药品是指用于影响或研究生理系统的物质或物质混合物,包括生物制品,其目的是诊断、预防、治疗、恢复和改善健康。市场上的药品品牌和类型越来越多,每个品牌的有效成分和适应症可能相同,也可能不同,这就带来了一些问题。在快速发展的制药环境中,药品管理的自动化需求至关重要。这是由多种因素造成的,包括药品数量的不断增加、医药产品的复杂性以及提高库存管理效率和准确性的目标。深度学习在满足这些需求方面发挥着关键作用。在本研究中,我们创建了一个系统,旨在自动对药品类型进行分类。深度学习是一个机器学习领域,它使用人工神经网络来解决大型数据集的问题。深度学习系统使用的算法是卷积神经网络(CNN)。对药物剂型(如片剂和胶囊)进行分类的过程包括数据收集、数据预处理、将数据分成 70 个不同的类别以及对不同类别的药物进行分类。
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IMPLEMENTASI DEEP LEARNING UNTUK DETEKSI JENIS OBAT MENGGUNAKAN ALGORITMA CNN BERBASIS WEBSITE
Medicine refers to substances or mixtures of materials, including biological products, used to influence or investigate physiological systems with the aim of diagnosing, preventing, curing, restoring, and improving health. There are several issues related to the increasing prevalence of brands and types of drugs on the market, where each brand may have the same or different active ingredients and indications. In the rapidly evolving pharmaceutical environment, the need for automation in drug management is crucial. This is due to various factors, including the increasing volume of drugs, the complexity of pharmaceutical products, and the goal of improving efficiency and accuracy in inventory management. Deep learning plays a key role in meeting these needs. In this study, a system was created with the aim of automatically classifying types of drugs. Deep Learning is a machine learning area that uses artificial neural networks to solve problems with large datasets. The algorithm used in the deep learning system is the Convolutional Neural Network (CNN). The process of classifying the types of drug dosage forms, such as tablets and capsules, involves data collection, data preprocessing, splitting the data into 70
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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN MAKANAN KUCING MENGGUNAKAN METODE ANALITICAL HIERARCHY PROCESS SISTEM LAPORAN STOCK OPNAME MERCHANDISER BERBASIS WEB IMPLEMENTASI DEEP LEARNING UNTUK DETEKSI JENIS OBAT MENGGUNAKAN ALGORITMA CNN BERBASIS WEBSITE SISTEM INFORMASI FLEET MANAGEMENT MENGGUNAKAN FRAMEWORK LARAVEL PADA PT. SAJIRA MAHARDIKA PERANCANGAN SISTEM INFORMASI PENJUALAN PADA TOKO ROYAL ICE CREAM DENGAN METODE RAPID APPLICATION DEVELOPMENT
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