Frontiers

Development of machine learning models with explainable AI for frailty risk prediction and their web-based application in community public health

Background: Frailty is a public health concern linked to falls, disability, and mortality. Early screening and tailored interventions can mitigate adverse outcomes, but community settings require ...
IEEE

Crop Recommender and Yield Prediction System using Ensemble Machine Learning Techniques

Abstract: Machine learning techniques to develop a system for crop recommendation and yield prediction, aimed at supporting data-driven agricultural decision-making. Exploratory data analysis (EDA) is ...
GitHub

NullPointerException when using OneHotEncoder with Integer Categorical Variables in sklearn2pmml

all I am trying to do is use the OneHotEncoder on all my categorical variables. However, I noticed that if the categorical feature has integer values, I get the error ...
GitHub

Using ColumnTransformer with OneHotEncoder creates lots of disprepency between the raw predictions and onnx inference

I am trying to do a simple sklearn pipeline with a StandardScaler for the numerical values and a OneHotEncoder for the categorical. As shown here, I use the CastTransformer to reduce discrepencies ...
Frontiers

Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points

1 Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China 2 Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China Purpose: Accurate ...
IEEE

Data Preprocessing for Intrusion Detection System Using Encoding and Normalization Approaches

Abstract: This work presents a data preparation and data preprocessing framework to support deep learning and network security experts in producing qualitative data for empirical experimental analysis ...