Scientific Research Publishing

On the Medication Rules in Shang Han Lun Based on Complex Network Analysis ()

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Frontiers

Exploring machine learning classification for community based health insurance enrollment in Ethiopia

Background: Community-based health insurance (CBHI) is a vital tool for achieving universal health coverage (UHC), a key global health priority outlined in the sustainable development goals (SDGs).
Frontiers

Predicting liver metastasis in pancreatic neuroendocrine tumors with an interpretable machine learning algorithm: a SEER-based study

Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, China Background: Liver metastasis is the most common site of metastasis in pancreatic ...
Scientific Research Publishing

AI-Driven Mental Disorder Prediction: A Machine Learning Approach for Early Detection ()

1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. Mental disorders, including depression, bipolar ...
IEEE

Urban Road Flooding Detection System based on SVM Algorithm

Abstract: In order to solve the frequent flooding in urban areas caused by extreme rainfall weather, the traditional solution is manual detection of waterlogging, which is inefficient and risky. While ...