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[HTML][HTML] An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI
Diabetes is a chronic disease that continues to be a primary and worldwide health concern
since the health of the entire population has been affected by it. Over the years, many …
since the health of the entire population has been affected by it. Over the years, many …
The severity prediction of the binary and multi-class cardiovascular disease− A machine learning-based fusion approach
In today's world, a massive amount of data is available in almost every sector. This data has
become an asset as we can use this enormous amount of data to find information. Mainly …
become an asset as we can use this enormous amount of data to find information. Mainly …
[HTML][HTML] Community-based ecotourism for sustainability: An evaluative analysis of Binh Son district, Quang Ngai province in Vietnam
Community-based ecotourism (CBE) has been adopted for the preservation and restoration
of the ecosystem in the four local communities in Binh Son district of Quang Ngai province in …
of the ecosystem in the four local communities in Binh Son district of Quang Ngai province in …
Model Pengelolaan Ekowisata Berkelanjutan Berbasis Masyarakat Suatu Analisis Bibliometrik Dan Tinjauan LiteratuR
Ecotourism is a concept driven by tourist demand, while sustainable tourism includes
measures to preserve the environment from the supply side, meaning by tourism service …
measures to preserve the environment from the supply side, meaning by tourism service …
A comparative study with different machine learning algorithms for diabetes disease prediction
Diabetic is a disease that occurred when the level of blood glucose is higher than usual,
which is also known as hyperglycemia. When the human body is incapable of producing …
which is also known as hyperglycemia. When the human body is incapable of producing …
[PDF][PDF] An Ensemble Feature Optimization for an Effective Heart Disease Prediction Model.
K Chandrashekar, AT Narayanreddy - International Journal of Intelligent …, 2023 - inass.org
The use of machine learning (ML) within medical field is on the rise, notably as a means to
enhance both the speed and precision of diagnosis. Through evaluating large volumes of …
enhance both the speed and precision of diagnosis. Through evaluating large volumes of …
Deep learning based cardiovascular disease risk factor prediction among type 2 diabetes mellitus patients
C Selvarathi, S Varadhaganapathy - Information Technology and Control, 2023 - itc.ktu.lt
Abstract Type 2 Diabetes Mellitus (T2DM) is a common chronic disease that is caused due
to insulin discharge disorder. Due to the complication of T2DM, the outcomes of this disease …
to insulin discharge disorder. Due to the complication of T2DM, the outcomes of this disease …
Ensemble Deep Learning Models for Accurate Prediction of Cardiovascular Disease Risk: A Comparative Analysis
A leading cause of death globally is cardiovascular disease (CVD). Early CVD detection is
essential for successful treatment and complication prevention. Convolutional neural …
essential for successful treatment and complication prevention. Convolutional neural …
[PDF][PDF] 云南香格里拉地区森林优势树种决策融合分类
方攀飞, 王雷光, 徐伟恒, 欧光龙, 代沁伶, **若楠 - 遥感技术与应用, 2022 - rsta.ac.cn
基于Google Earth Engine (GEE) 云计算**台, 协同Sentinel-2 影像, WordClim 生物气候数据,
SRTM 地形数据, 森林资源二类调查数据等数据, 以随机森林(Random Forest, RF) …
SRTM 地形数据, 森林资源二类调查数据等数据, 以随机森林(Random Forest, RF) …
[PDF][PDF] Social Sciences & Humanities Open
AL Prinz - Romania, 2016 - files.au-1.osf.io
At first glance, the positive correlation of chocolate consumption per capita and the
accumulated number of Nobel laureates per capita, as reported by Messerli (2012), seems …
accumulated number of Nobel laureates per capita, as reported by Messerli (2012), seems …