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Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical …
Background Machine learning (ML) is increasingly used in research for subtype definition
and risk prediction, particularly in cardiovascular diseases. No existing ML models are …
and risk prediction, particularly in cardiovascular diseases. No existing ML models are …
[HTML][HTML] Patient similarity in prediction models based on health data: a sco** review
Background: Physicians and health policy makers are required to make predictions during
their decision making in various medical problems. Many advances have been made in …
their decision making in various medical problems. Many advances have been made in …
Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis
For the past two decades, most of the people from develo** countries are suffering from
heart disease. Diagnosing these diseases at earlier stages helps patients reduce the risk of …
heart disease. Diagnosing these diseases at earlier stages helps patients reduce the risk of …
A stable AI-based binary and multiple class heart disease prediction model for IoMT
Heart disease seriously threatens human life due to high morbidity and mortality. Accurate
prediction and diagnosis become more critical for early prevention, detection, and treatment …
prediction and diagnosis become more critical for early prevention, detection, and treatment …
A community-based IoT personalized wireless healthcare solution trial
This paper presents an advanced Internet of Things point-of-care bio-fluid analyzer; a
LoRa/Bluetooth-enabled electronic reader for biomedical strip-based diagnostics system for …
LoRa/Bluetooth-enabled electronic reader for biomedical strip-based diagnostics system for …
Analyzing healthcare big data with prediction for future health condition
In healthcare management, a large volume of multi-structured patient data is generated from
the clinical reports, doctor's notes, and wearable body sensors. The analysis of healthcare …
the clinical reports, doctor's notes, and wearable body sensors. The analysis of healthcare …
[HTML][HTML] Weight optimized neural network for heart disease prediction using hybrid lion plus particle swarm algorithm
RP Cherian, N Thomas, S Venkitachalam - Journal of Biomedical …, 2020 - Elsevier
Heart disease remains one of the significantcauses ofmortality and morbidity amongst the
world's population. Predicting heart disease is considered as one of the vital issues in …
world's population. Predicting heart disease is considered as one of the vital issues in …
Cuckoo search optimized reduction and fuzzy logic classifier for heart disease and diabetes prediction
Disease forecasting using soft computing techniques is major area of research in data
mining in recent years. To classify heart and diabetes diseases, this paper proposes a …
mining in recent years. To classify heart and diabetes diseases, this paper proposes a …
Dajlenet: A neural network based on dual attention and joint learning for explainable heart failure adverse event prediction
T Xu, J Zhang, B Li - Computers and Electrical Engineering, 2024 - Elsevier
Heart Failure (HF) is a common, high-risk, complex cardiovascular disease that is often
accompanied by other diseases and has a high mortality rate. The use of electronic health …
accompanied by other diseases and has a high mortality rate. The use of electronic health …
[HTML][HTML] Cardiac disease detection using cuckoo search enabled deep belief network
Cardiac disease is the most infected disease in the world nowadays for all ages of people.
An emergency need arises to predict cardiac disease accurately in a short time. In this …
An emergency need arises to predict cardiac disease accurately in a short time. In this …