[医药行业] Breast-Cancer-Prediction
朴素贝叶斯和随机森林在乳腺癌预测和探索性数据分析中的应用
Breast Cancer prediction and Exploratory Data Analysis using Naive Bayes and Random forest (2023-11-13, Jupyter Notebook, 0KB, 下载0次)
[医药行业] Breast-Cancer-Prediction
这是一个在威斯康星州乳腺癌数据集上执行的深度学习和机器学习项目。
This a Deep Learning and Machine Learning project performed on Wisconsin Breast Cancer dataset. (2023-11-08, Jupyter Notebook, 0KB, 下载0次)
[医药行业] Brest_Cancer
预测一个人感染或不感染布雷斯特癌症的概率
Predicts about a persons probability to be infected or not to Brest cancer (2020-09-27, CSS, 33KB, 下载0次)
[医药行业] Breast-Cancer-Prediction
在Matlab中使用KNN、朴素贝叶斯、SVM、决策树来确定患者是否患有乳腺癌
Deciding if a patient has breast cancer with KNN, Naive Bayes, SVM, Decision Trees in Matlab (2019-10-13, matlab, 238KB, 下载0次)
[医药行业] Data-Analysis-of-Beningn-and-Malignant
威斯康星乳腺癌（诊断）数据集，用于预测癌症是良性还是恶性。
Breast Cancer Wisconsin (Diagnostic) Data Set to Predict whether the cancer is benign or malignant. (2022-07-09, Python, 3KB, 下载0次)
[医药行业] Breast-Cancer-Prediction-
利用威斯康星乳腺癌（诊断）数据集的数据预测乳腺癌
Predicting Breast Cancer Using data from Breast Cancer Wisconsin (Diagnostic) Data Set (2020-12-06, Python, 4944KB, 下载0次)
[医药行业] ps05
威斯康星乳腺癌数据集分析。根据肿瘤特征预测肿瘤的恶性程度。已探索的数据...
Analysis of Wisconsin Breast Cancer dataset. Predicted malignancy of tumor based on tumor characteristics. Explored decision boundary for KNN, logistic and SVM and created a ROC curve from scratch (2019-04-10, Jupyter Notebook, 1969KB, 下载0次)
[医药行业] WDBC_analysis
威斯康星乳腺癌（诊断）数据集：预测癌症是良性还是恶性。
Breast Cancer Wisconsin (Diagnostic) Data Set: Predict whether the cancer is benign or malignant. (2017-10-02, Jupyter Notebook, 579KB, 下载0次)
[医药行业] Predict-whether-the-cancer-is-benign-or-malignant
KAGGLE：威斯康星乳腺癌（诊断）数据集预测癌症是良性还是恶性
KAGGLE: Breast Cancer Wisconsin (Diagnostic) Data Set Predict whether the cancer is benign or malignant (2019-08-09, Jupyter Notebook, 22KB, 下载0次)
[医药行业] breast_cancer_prediction
比较不同机器学习在乳腺癌-威斯康星（诊断）数据集上的性能。
Comparison performances of different machine learning on the Breast Cancer Wisconsin (Diagnostic) Data Set. (2018-08-10, Jupyter Notebook, 933KB, 下载0次)
[医药行业] BreastCancerPrediction
乳腺癌的分析和预测，以新加坡为重点。这利用了各种数据集和模型，旨在...
Analysis and prediction on breast cancer, with a focus on Singapore. This utilises various datasets and models aimed to provide as comprehensive a coverage as possible. (2021-08-19, Jupyter Notebook, 46536KB, 下载0次)
[医药行业] Breast_cancer_survival_prediction
基于SVM和朴素贝叶斯ML算法的乳腺癌患者生存预测
Predicting Breat cancer patients survival with SVM and Naive Bayes ML algorithms (2022-05-21, Jupyter Notebook, 1078KB, 下载0次)
[医药行业] Breast-Cancer-Prediction
使用威斯康星乳腺癌诊断数据集进行预测分析
Using the Wisconsin breast cancer diagnostic data set for predictive analysis (2020-06-02, Jupyter Notebook, 3391KB, 下载0次)
[医药行业] Breast-Cancer-Prediction
基于前馈神经网络特征选择的威斯康星数据集乳腺癌预测
Prediction of Breast Cancer from Wisconsin Dataset using feature selection on feed forward neural network (2022-01-02, Jupyter Notebook, 330KB, 下载0次)
[医药行业] st-Cancer-Wisconsin-Diagnostic-Data-Set-Challenge
预测癌症是良性还是恶性<https:www.kaggle.com威斯康星州uciml乳腺癌数据>
预测癌症是良性还是恶性<https:www.kaggle.com威斯康星州uciml乳腺癌数据> (2019-10-16, Jupyter Notebook, 2455KB, 下载0次)
[医药行业] Breast-Cancer-Detection-Deep-Learning
预测癌症是良性还是恶性。癌症威斯康星（诊断）数据集。
Predict whether the cancer is benign or malignant. Cancer Wisconsin (Diagnostic) Data Set. (2022-09-30, Python, 6429KB, 下载0次)
[医药行业] Breast-Cancer-Prediction
使用威斯康星乳腺癌（原始）数据集上的分类算法来声明条件是否...
Using a classification algorithm on the Breast Cancer Wisconsin (Original) Data Set to declare whether the condition is Benign or Malignant. (2021-11-04, Python, 9KB, 下载0次)
[医药行业] yi-yuan-yao-fang-guan-li-xitong
我的这是医院药房管理系统，在里面可以加相应的药品，然后可以注明它的相关信息。
it is very good,I think you can sen it .thank you ! (2013-05-28, Visual C++, 11KB, 下载7次)
[医药行业] hospital
医院管理系统，使用增强GRIDview插件，自制2维区间表，方便查找医生信息
Hospital Management System, the use of plug-ins to enhance GRIDview made between 2-D table for the doctor to find information (2009-07-12, C#, 2320KB, 下载55次)
[医药行业] YPJXC
一个医药行业的进销存软件，解决药品这个特殊行业的，进货，销售，库存软件，符合国家GSP要求，进行一系列操作，主要包括购进（生成购进验收记录），销售（生成销售记录），库存（养护，盘点，服损）
A pharmaceutical industry Invoicing software to solve this particular industry, medicine, purchase, sales, inventory software, in line with national GSP requirements, to conduct a series of operations, including the purchase (the purchase of acceptance generated records), marketing (to generate sales records ), Stock (conservation, inventory, service loss) (2008-09-03, C/C++, 4907KB, 下载32次)