[医药行业] Breast-cancer-ML
我使用PythonSklearn库对威斯康星州乳腺癌数据集进行了分类。使用了不同的分类基于各种医学特征的算法来预测肿瘤是恶性还是良性比较了不同分类器的性能，我修改了Super参数以获得更好的结果
I performed classification on Wisconsin Breast Cancer dataset using Python Sklearn library. A different classification was used Algorithms for predicting whether a tumor is malignant or Benign on the basis of various medical features Compared the performance of different classifiers and I modified the Super parameters to achieve better results (2024-03-14, Others, 0KB, 下载0次)
[医药行业] Breast-Cancer-Prediction-Comparative-Study
该存储库使用乳腺癌数据集对CART决策树和朴素贝叶斯算法进行了比较分析。它包括Python代码、数据集、ROC可视化和预测癌症发生的指南，以简洁、有效的方式突出每个算法的有效性。
This repository offers a comparative analysis of CART Decision Tree and Naive Bayes algorithms using the breast cancer dataset. It includes Python code, dataset, ROC visualizations, and a guide for predicting cancer occurrences, highlighting the effectiveness of each algorithm in a concise, impactful manner. (2024-03-06, Python, 0KB, 下载0次)
[医药行业] Breast-Cancer-Prediction-using-Machine-Learning
在这里，我使用了威斯康星乳腺癌（诊断）数据集来训练ML模型。该数据集包含乳房肿块的特征。它们描述了图像中存在的细胞核的特征。这些信息用于预测癌症是良性还是恶性。
Here I have used Breast Cancer Wisconsin (Diagnostic) Data Set to train a ML model. This dataset contains features of breast mass. They describe characteristics of the cell nuclei present in the image. This information is used to predict whether the cancer is benign or malignant. (2024-02-05, Jupyter Notebook, 0KB, 下载0次)
[医药行业] FindPath
寻径问题：
给定n个村庄之间的交通图，若村庄i和村庄j之间有道路，则将顶点i和顶点j用边连接，边上的权Wij 表示这条道路的长度。现在要从这n个村庄选择一个村庄建一所医院，问这所医院应建在哪个村庄，才能使离医院最远的村庄到医院的距离最短？
实现的功能：
1.自动生成数据；
2.自动生成字符串；
3.显示矩阵图；
4.非法输入的判断；
5.重复输入现有的相同数据的判断；
6.动态生成一维数组，二维数组；
7.数组内数值的比较以及输出；
8.查找标示符在数组中的位置以及输出；
9.创建网；
10.查找网内的数值以及对数值的处理；
Routing problem: given n villages between traffic map, if i have a road between the village and the village j, then the vertex i and j vertices connected by edges, Wij represents the length of the right side of this road. N from these villages now choose a village to build a hospital, ask the hospital to be built in the village which, in order to make the village furthest from the hospital to the shortest distance from the hospital? Realize functions: 1 automatically generated data 2 automatically generated string 3 shows the matrix 4 judgment entered illegally 5 to repeatedly enter the same data available to determine 6 dynamically generated one-dimensional array. .. .. two-dimensional array 7 compares the values within the array, and output 8 lookup identifier and the location in the array output 9 to create network 10 Find the value within the network as well as the value of the deal (2013-12-16, C++, 4KB, 下载2次)
[医药行业] hospitalManageSystem
医院信息系统 方法一： 1.运行SQL Server 2000的查询分析器，单击“装载SQL脚本”快捷按钮，打开例程目录下SQL目录里的SQL_HMIS.sql文件，单击“执行查询”快捷按钮运行打开的SQL语句，这样就建立了医院信息系统的数据库结构。 2.输入初始数据，参见表9-27到表9-29。 方法二： 1.运行SQL Server 2000的企业管理器，新建一个数据库，命名为HMIS。 2.选中HMIS数据库单击右键，在弹出菜单中选择“所有任务”子菜单下的“还原数据库”菜单项，打开“还原 数据库”窗口，选上“从设备”单选框，单击【选择设备】按钮，打开“选择还原设备”窗口，再单击【添 加】按钮，选择Data_HMIS文件后，一直单击【确定】按钮就可以完成数据库的还原操作。 (2008-03-06, Delphi, 2974KB, 下载33次)
http://www.pudn.com/Download/item/id/411559.html[医药行业] medicine_management_system.tar.bz2
功能非常简单的药物管理系统,写本系统的原因是:该系统用JBUILDER-X加MYSQL完成,在LINUX平台下完成,成功移植到WINDOW系统,当时我为了证明完全免费的开发环境的可行性特意开发了这个系统,遇到了不少问题,都是汉字方面的问题,当实践证明,免费开发环境是可行的!给同志们参考
Features a very simple drug management system, write the reasons for the system is: The system used JBUILDER-X plus MYSQL completed in LINUX platform to complete successfully transplanted into WINDOW system, I was completely free in order to prove the feasibility of the development environment developed specifically this system, a number of problems encountered, are aspects of Chinese characters, when the practice has proved that a free development environment is feasible! to comrades reference (2007-10-23, MultiPlatform, 28KB, 下载63次)
[医药行业] 医院管理系统(hmis)
方法一： 1.运行SQL Server 2000的查询分析器，单击“装载SQL脚本”快捷按钮，打开例程目录下SQL目录里的SQL_HMIS.sql文件，单击“执行查询”快捷按钮运行打开的SQL语句，这样就建立了医院信息系统的数据库结构。 2.输入初始数据，参见表9-27到表9-29。 方法二： 1.运行SQL Server 2000的企业管理器，新建一个数据库，命名为HMIS。 2.选中HMIS数据库单击右键，在弹出菜单中选择“所有任务”子菜单下的“还原数据库”菜单项，打开“还原 数据库”窗口，选上“从设备”单选框，单击【选择设备】按钮，打开“选择还原设备”窗口，再单击【添 加】按钮，选择Data_HMIS文件后，一直单击【确定】按钮就可以完成数据库的还原操作。
one way : 1. Running SQL Server 2000 inquiries analyzer, click "load SQL scripts" fast button, the SQL routines directory directory SQL_HMIS.sql the document, click the "Executive Search" button fast running open SQL, so the establishment of a Hospital Information System database structure. 2. The initial input data in table form 9-27 to 9-29. Method 2 : 1. Running SQL Server 2000 Enterprise Manager, a new database, called HMIS. 2. Selected HMIS database Right-click the pop-up menu, select "all tasks" submenu under the "resurrection database" menu item to open a "resurrection database" window of the election "equipment from the" single-Sonic, click choice of equipment-- a button, the "election Optional reduction equipment &q (2005-05-09, Delphi, 1848KB, 下载127次)