Reinforcement learning algorithms: A brief survey
Reinforcement Learning (RL) is a machine learning (ML) technique to learn sequential
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …
Prediction of Cardiovascular Disease on Self‐Augmented Datasets of Heart Patients Using Multiple Machine Learning Models
About 26 million people worldwide experience its effects each year. Both cardiologists and
surgeons have a tough time determining when heart failure will occur. Classification and …
surgeons have a tough time determining when heart failure will occur. Classification and …
Improvement of a prediction model for heart failure survival through explainable artificial intelligence
PA Moreno-Sanchez - Frontiers in Cardiovascular Medicine, 2023 - frontiersin.org
Cardiovascular diseases and their associated disorder of heart failure (HF) are major
causes of death globally, making it a priority for doctors to detect and predict their onset and …
causes of death globally, making it a priority for doctors to detect and predict their onset and …
Learning-based techniques for heart disease prediction: a survey of models and performance metrics
PC Bizimana, Z Zhang, M Asim, AAA El-Latif… - Multimedia Tools and …, 2024 - Springer
Heart disease (HD) is a major threat to human health, and the medical field generates vast
amounts of data that doctors struggle to effectively interpret and use. Early prediction and …
amounts of data that doctors struggle to effectively interpret and use. Early prediction and …
Delineating mastitis cases in dairy cows: Development of an IoT-enabled intelligent decision support system for dairy farms
Mastitis, an intramammary bacterial infection, is not only known to adversely affect the health
of a dairy cow but also to cause significant economic loss to the dairy industry. The severity …
of a dairy cow but also to cause significant economic loss to the dairy industry. The severity …
Hypertension: Constraining the Expression of ACE-II by Adopting Optimal Macronutrients Diet Predicted via Support Vector Machine
The recent elevation of cases infected from novel COVID-19 has placed the human life in
trepidation mode, especially for those suffering from comorbidities. Most of the studies in the …
trepidation mode, especially for those suffering from comorbidities. Most of the studies in the …
Kalp yetmezliği riskinin makine öğrenmesi yöntemleri ile analiz edilmesi
S Bilekyiğit, A Eldem - 2022 - earsiv.kmu.edu.tr
Kalp hastalıkları, damarlarda oluşan tıkanıklık, kanın vücuda pompalanamaması, oksijen
eksikliği gibi birçok nedenden dolayı oluşabilen bir hastalık türüdür. Kişilerin kaliteli bir …
eksikliği gibi birçok nedenden dolayı oluşabilen bir hastalık türüdür. Kişilerin kaliteli bir …
[PDF][PDF] Research Article Prediction of Cardiovascular Disease on Self-Augmented Datasets of Heart Patients Using Multiple Machine Learning Models
S Ahmed, S Shaikh, F Ikram, M Fayaz, HS Alwageed… - 2022 - academia.edu
About 26 million people worldwide experience its effects each year. Both cardiologists and
surgeons have a tough time determining when heart failure will occur. Classification and …
surgeons have a tough time determining when heart failure will occur. Classification and …