Farhad Fathieh
University of California, Berkeley
H-index: 11
North America-United States
Top articles of Farhad Fathieh
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Pulmonary Hypertension Detection Non-Invasively at Point-of-Care Using a Machine-Learned Algorithm | Diagnostics | Navid Nemati Timothy Burton Farhad Fathieh Horace R Gillins Ian Shadforth | 2024/4/25 |
DEVELOPMENT OF A NON-INVASIVE POINT-OF-CARE RULE-OUT TEST FOR HEART FAILURE USING MACHINE LEARNING | Journal of the American College of Cardiology | Navid Nemati Farhad Fathieh Timothy Burton Horace Gillins Ian Shadforth | 2024/4/2 |
Method and System to Non-Invasively Assess Elevated Left Ventricular End-Diastolic Pressure | 2023/3/9 | ||
Multi-sensor mems system and machine-learned analysis method for hypertrophic cardiomyopathy estimation | 2023/7/27 | ||
Machine learning algorithms: selection of appropriate validation populations for cardiology research—Be careful! | William E Sanders Jr Rola Khedraki Mark Rabbat Thomas R McMinn Tim Burton | 2023/1/1 | |
Methods and Systems for Engineering Cardiac Waveform Features From Biophysical Signals for Use in Characterizing Physiological Systems | 2023/3/9 | ||
Active atmospheric moisture harvester | 2023/7/11 | ||
A Supervised Machine-learned Algorithm to IDENTIFY PH in Patients With New Onset Symptoms | CR Bridges T Burton F Fathieh A Khosousi I Shadforth | 2023/5 | |
Methods and Systems for Engineering Power Spectral Features From Biophysical Signals for Use in Characterizing Physiological Systems | 2023/3/9 | ||
Methods and Systems for Engineering Respiration Rate-Related Features From Biophysical Signals for Use in Characterizing Physiological Systems | 2023/4/27 | ||
Methods and systems for engineering conduction deviation features from biophysical signals for use in characterizing physiological systems | 2023/3/9 | ||
Methods and Systems for Engineering Wavelet-Based Features From Biophysical Signals for Use in Characterizing Physiological Systems | 2023/3/9 | ||
Machine Learning to Detect Pulmonary Hypertension at Point-of-Care | Circulation | Charles R Bridges Timothy Burton Farhad Fathieh Navid Nemati Horace R Gillins | 2023/11/7 |
Methods and Systems for Engineering Photoplethysmographic-Waveform Features From Biophysical Signals for Use in Characterizing Physiological Systems | 2023/2/23 | ||
Atmospheric Water Harvesting System with Cross-Flow Configuration | 2022/6/2 | ||
Multicenter validation of a machine learning phase space electro-mechanical pulse wave analysis to predict elevated left ventricular end diastolic pressure at the point-of-care | Plos one | Sanjeev P Bhavnani Rola Khedraki Travis J Cohoon Frederick J Meine III Thomas D Stuckey | 2022/11/15 |
Identifying novel phenotypes of elevated left ventricular end diastolic pressure using hierarchical clustering of features derived from electromechanical waveform data | Frontiers in Cardiovascular Medicine | Timothy Burton Shyam Ramchandani Sanjeev P Bhavnani Rola Khedraki Travis J Cohoon | 2022/9/23 |
Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease | Frontiers in Cardiovascular Medicine | Thomas Stuckey Frederick Meine Thomas McMinn Jeremiah P Depta Brett Bennett | 2022/9/2 |
Method and system for engineering cycle variability-related features from biophysical signals for use in characterizing physiological systems | 2022/6/23 | ||
Method and system for signal quality assessment and rejection using heart cycle variability | 2021/7/15 |
