Machine learning-based heart disease diagnosis: A systematic literature review
MM Ahsan, Z Siddique - Artificial Intelligence in Medicine, 2022 - Elsevier
Heart disease is one of the significant challenges in today's world and one of the leading
causes of many deaths worldwide. Recent advancement of machine learning (ML) …
causes of many deaths worldwide. Recent advancement of machine learning (ML) …
[HTML][HTML] Blind, cuff-less, calibration-free and continuous blood pressure estimation using optimized inductive group method of data handling
MR Mohebbian, A Dinh, K Wahid, MS Alam - Biomedical Signal Processing …, 2020 - Elsevier
Traditionally, blood pressure (BP) is measured by cuff-based instruments, which is
inconvenient and does not allow continuous measurement. In fact, continuous blood …
inconvenient and does not allow continuous measurement. In fact, continuous blood …
[HTML][HTML] What is the mechanism of submerged macrophyte biodiversity affecting biomass productivity along water depth: Niche complementarity or selection effect?
The impact of biodiversity on ecosystem functions and services remains a hot topic in
ecology, especially under increasing biodiversity loss. Studies on the relationship between …
ecology, especially under increasing biodiversity loss. Studies on the relationship between …
Systems biology and machine learning approaches identify drug targets in diabetic nephropathy
Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a
massive global health burden. Despite considerable efforts, the underlying mechanisms …
massive global health burden. Despite considerable efforts, the underlying mechanisms …
Risk prediction of dyslipidemia for Chinese Han adults using random Forest survival model
X Zhang, F Tang, J Ji, W Han, P Lu - Clinical epidemiology, 2019 - Taylor & Francis
Objective Dyslipidemia has been recognized as a major risk factor of several diseases, and
early prevention and management of dyslipidemia is effective in the primary prevention of …
early prevention and management of dyslipidemia is effective in the primary prevention of …
Automatic classification between COVID-19 and non-COVID-19 pneumonia using symptoms, comorbidities, and laboratory findings: the Khorshid COVID Cohort Study
Coronavirus disease-2019, also known as severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2), was a disaster in 2020. Accurate and early diagnosis of coronavirus disease …
(SARS-CoV-2), was a disaster in 2020. Accurate and early diagnosis of coronavirus disease …
Accurate diagnosis of suicide ideation/behavior using robust ensemble machine learning: a university student population in the Middle East and North Africa (MENA) …
Suicide is one of the most critical public health concerns in the world and the second cause
of death among young people in many countries. However, to date, no study can diagnose …
of death among young people in many countries. However, to date, no study can diagnose …
Dyslipidemia in youth: Epidemiology, pathophysiology, screening, management, and treatment: A review of the literature
SV Esfarjani, M Zakerkish - … of Family Medicine and Primary Care, 2022 - journals.lww.com
Atherosclerotic cardiovascular disease (ASCVD) is one of the major causes of death all over
the world. Atherosclerosis is developed by atherogenic lipoproteins and inflammation. Thus …
the world. Atherosclerosis is developed by atherogenic lipoproteins and inflammation. Thus …
Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data
Background Dyslipidemia, characterized by variations in plasma lipid profiles, poses a
global health threat linked to millions of deaths annually. Objectives This study focuses on …
global health threat linked to millions of deaths annually. Objectives This study focuses on …
Rigorous performance assessment of computer-aided medical diagnosis and prognosis systems: a biostatistical perspective on data mining
M Mansourian, HR Marateb… - … and analysis of …, 2020 - iopscience.iop.org
In chapter 17 the reliability of a diagnosis system for medical doctors, its proper comparison
with the state-of-the-art, avoiding incorrect interpretation and the reporting of proper …
with the state-of-the-art, avoiding incorrect interpretation and the reporting of proper …