Machine learning approach predicts heart failure outcome risk – HealthITAnalytics.com
April 22, 2024 -Researchers from the University of Virginia (UVA) have developed a machine learning tool designed to assess and predict adverse outcome risks for patients with advanced heart failure with reduced ejection fraction (HFrEF), according to a recent study published in the American Heart Journal.
The research team indicated that risk models for HFrEF exist, but few are capable of addressing the challenge of missing data or incorporating invasive hemodynamic data, limiting their ability to provide personalized risk assessments for heart failure patients.
Heart failure is a progressive condition that affects not only quality of life but quantity as well, explained Sula Mazimba, MD, an associate professor of medicine at UVA and cardiologist at UVA Health, in the news release. "All heart failure patients are not the same. Each patient is on a spectrum along the continuum of risk of suffering adverse outcomes. Identifying the degree of risk for each patient promises to help clinicians tailor therapies to improve outcomes.
Outcomes like weakness, fatigue, swollen extremities and death are of particular concern for heart failure patients, and the risk model is designed to stratify the risk of these events.
The tool was built using anonymized data pulled from thousands of patients enrolled in heart failure clinical trials funded by the National Institutes of Health (NIH) National Heart, Lung and Blood Institute (NHLBI).
Patients in the training and validation cohorts were categorized into five risk groups based on left ventricular assist device (LVAD) implantation or transplantation, rehospitalization within six months of follow-up and death, if applicable.
To make the model robust in the presence of missing data, the researchers trained it to predict patients risk categories using either invasive hemodynamics alone or a feature set incorporating noninvasive hemodynamics data.
Prediction accuracy for each category was determined separately using area under the curve (AUC).
Overall, the model achieved high performance across all five categories. The AUCs ranged from 0.896 +/- 0.074 to 0.969 +/- 0.081 for the invasive hemodynamics feature set and 0.858 +/- 0.067 to 0.997 +/- 0.070 for the set incorporating all features.
The research team underscored that the inclusion of hemodynamic data significantly aided the models performance.
This model presents a breakthrough because it ingests complex sets of data and can make decisions even among missing and conflicting factors, said Josephine Lamp, a doctoral researcher in the UVA School of Engineerings Department of Computer Science. It is really exciting because the model intelligently presents and summarizes risk factors reducing decision burden so clinicians can quickly make treatment decisions.
The researchers have made their tool freely available online for researchers and clinicians in the hopes of driving personalized heart failure care.
In pursuit of personalized and precision medicine, other institutions are also turning to machine learning.
Last week, a research team from Clemson University shared how a deep learning tool can help researchers better understand how gene-regulatory network (GRN) interactions impact individual drug response.
GRNs map the interactions between genes, proteins and other elements. These insights are crucial for exploring how genetic variations influence a patients phenotypes such as drug response. However, many genetic variants linked to disease are in areas of DNA that dont directly code for proteins, creating a challenge for those investigating the role of these variants in individual health.
The deep learning-based Lifelong Neural Network for Gene Regulation (LINGER) tool helps address this by using single-cell multiome data to predict how GRNs work, which can shed light on disease drivers and drug efficacy.
View original post here:
Machine learning approach predicts heart failure outcome risk - HealthITAnalytics.com
- Optimization of wear parameters for ECAP-processed ZK30 alloy using response surface and machine learning ... - Nature.com - April 22nd, 2024 [April 22nd, 2024]
- Practical approaches in evaluating validation and biases of machine learning applied to mobile health studies ... - Nature.com - April 22nd, 2024 [April 22nd, 2024]
- Application of power-law committee machine to combine five machine learning algorithms for enhanced oil recovery ... - Nature.com - April 22nd, 2024 [April 22nd, 2024]
- Free tool uses machine learning to pick better molecules for testing new reactions - Chemical & Engineering News - April 22nd, 2024 [April 22nd, 2024]
- Automated Analysis of Nuclear Parameters in Oral Exfoliative Cytology Using Machine Learning - Cureus - April 22nd, 2024 [April 22nd, 2024]
- An AI Ethics Researcher's Take On The Future Of Machine Learning In The Art World - SlashGear - April 22nd, 2024 [April 22nd, 2024]
- Enhancing Emotion Recognition in Users with Cochlear Implant Through Machine Learning and EEG Analysis - Physician's Weekly - April 22nd, 2024 [April 22nd, 2024]
- Imageomics Applies AI and Vision Advancements to Biological Questions - Photonics.com - April 22nd, 2024 [April 22nd, 2024]
- Machine learning reveals the control mechanics of an insect wing hinge - Nature.com - April 22nd, 2024 [April 22nd, 2024]
- The Future of ML Development Services: Trends and Predictions - FinSMEs - April 22nd, 2024 [April 22nd, 2024]
- CSRWire - Island Conservation Harnesses Machine Learning Solutions From Lenovo and NVIDIA To Restore Island ... - CSRwire.com - April 22nd, 2024 [April 22nd, 2024]
- Investigation of the effectiveness of a classification method based on improved DAE feature extraction for hepatitis C ... - Nature.com - April 22nd, 2024 [April 22nd, 2024]
- Machine Learning Uncovers New Ways to Kill Bacteria With Non-Antibiotic Drugs - ScienceAlert - April 22nd, 2024 [April 22nd, 2024]
- Formal Interaction Model (FIM): A Mathematics-based Machine Learning Model that Formalizes How AI and Users Shape One Another - MarkTechPost - April 22nd, 2024 [April 22nd, 2024]
- A secure approach to generative AI with AWS | Amazon Web Services - AWS Blog - April 22nd, 2024 [April 22nd, 2024]
- Imbalanced Learn: the Python library for rebuilding ML datasets - DataScientest - April 22nd, 2024 [April 22nd, 2024]
- AI has a lot of terms. We've got a glossary for what you need to know - Quartz - April 22nd, 2024 [April 22nd, 2024]
- Texxa AI, Where ideas take flight: Revolutionizing AI Solutions for Businesses and Individuals - GlobeNewswire - April 22nd, 2024 [April 22nd, 2024]
- Using machine learning to identify patients with cancer that would benefit from immunotherapy - Medical Xpress - April 22nd, 2024 [April 22nd, 2024]
- Researchers at Stanford University Explore Direct Preference Optimization (DPO): A New Frontier in Machine Learning and Human Feedback - MarkTechPost - April 22nd, 2024 [April 22nd, 2024]
- Machine Learning Helps Scientists Locate the Neurological Origin of Psychosis - ExtremeTech - April 22nd, 2024 [April 22nd, 2024]
- Slack delivers native and secure generative AI powered by Amazon SageMaker JumpStart | Amazon Web Services - AWS Blog - April 22nd, 2024 [April 22nd, 2024]
- Accurate and rapid antibiotic susceptibility testing using a machine learning-assisted nanomotion technology platform - Nature.com - March 20th, 2024 [March 20th, 2024]
- AI reveals the complexity of a simple birdsong - The Washington Post - March 20th, 2024 [March 20th, 2024]
- Researchers from MIT and Harvard Developed UNITS: A Unified Machine Learning Model for Time Series Analysis that Supports a Universal Task... - March 20th, 2024 [March 20th, 2024]
- Undergraduate Researchers Help Unlock Lessons of Machine Learning and AI - College of Natural Sciences - March 20th, 2024 [March 20th, 2024]
- Machine Learning Accelerates the Simulation of Dynamical Fields - Eos - March 20th, 2024 [March 20th, 2024]
- Inter hospital external validation of interpretable machine learning based triage score for the emergency department ... - Nature.com - March 20th, 2024 [March 20th, 2024]
- HEAL: A framework for health equity assessment of machine learning performance - Google Research - March 20th, 2024 [March 20th, 2024]
- Expert on how machine learning could lead to improved outcomes in urology - Urology Times - March 20th, 2024 [March 20th, 2024]
- Unlock the potential of generative AI in industrial operations | Amazon Web Services - AWS Blog - March 20th, 2024 [March 20th, 2024]
- Optimize price-performance of LLM inference on NVIDIA GPUs using the Amazon SageMaker integration with NVIDIA ... - AWS Blog - March 20th, 2024 [March 20th, 2024]
- Orange isn't building its own AI foundation model here's why - Light Reading - March 20th, 2024 [March 20th, 2024]
- Wall Street's Favorite Machine Learning Stocks? 3 Names That Could Make You Filthy Rich - InvestorPlace - March 20th, 2024 [March 20th, 2024]
- Edge Impulse machine learning platform adds support for NVIDIA TAO Toolkit and Omniverse - CNX Software - March 20th, 2024 [March 20th, 2024]
- MIT Researchers Developed an Image Dataset that Allows Them to Simulate Peripheral Vision in Machine Learning Models - MarkTechPost - March 20th, 2024 [March 20th, 2024]
- 18 Cutting-Edge Artificial Intelligence Applications in 2024 - Simplilearn - March 20th, 2024 [March 20th, 2024]
- Machine-learning-based global optimization of microwave passives with variable-fidelity EM models and response ... - Nature.com - March 20th, 2024 [March 20th, 2024]
- Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in ... - Nature.com - March 20th, 2024 [March 20th, 2024]
- PyCaret: Everything you need to know about this Python library - DataScientest - March 20th, 2024 [March 20th, 2024]
- Crypto Entities That Neglect AI and Machine Learning Investment Will Lag Behind, Warns Binance CTO Bitcoin News - Bitcoin.com News - March 20th, 2024 [March 20th, 2024]
- VictoriaMetrics Machine Learning takes monitoring to the next level - The Bakersfield Californian - March 20th, 2024 [March 20th, 2024]
- How Marketers Can Elevate Creative Performance with AI-Driven Format Optimisation - ExchangeWire - March 20th, 2024 [March 20th, 2024]
- Revolutionizing carbon neutrality: Machine learning paves the way for advanced CO reduction catalysts - EurekAlert - March 20th, 2024 [March 20th, 2024]
- BurstAttention: A Groundbreaking Machine Learning Framework that Transforms Efficiency in Large Language Models with Advanced Distributed Attention... - March 20th, 2024 [March 20th, 2024]
- Construction of environmental vibration prediction model for subway transportation based on machine learning ... - Nature.com - March 20th, 2024 [March 20th, 2024]
- Introducing 'Get started with generative AI on AWS: A guide for public sector organizations' | Amazon Web Services - AWS Blog - March 20th, 2024 [March 20th, 2024]
- Generative deep learning for the development of a type 1 diabetes simulator | Communications Medicine - Nature.com - March 20th, 2024 [March 20th, 2024]
- Integrating core physics and machine learning for improved parameter prediction in boiling water reactor operations ... - Nature.com - March 11th, 2024 [March 11th, 2024]
- Top AI Certification Courses to Enroll in 2024 - Analytics Insight - March 11th, 2024 [March 11th, 2024]
- Machine learning techniques applied to construction: A hybrid bibliometric analysis of advances and future directions - ScienceDirect.com - March 11th, 2024 [March 11th, 2024]
- Artificial Intelligence Market towards a USD 2,745 bn by 2032 - Market.us Scoop - Market News - March 11th, 2024 [March 11th, 2024]
- Data Maturation Represents the Essential Reason for Deploying Machine Learning Today | By Adam Mogelonsky - Hospitality Net - March 11th, 2024 [March 11th, 2024]
- The Top 3 Machine Learning Stocks to Buy in March 2024 - InvestorPlace - March 11th, 2024 [March 11th, 2024]
- How to Learn the Math Needed for Data Science - Towards Data Science - March 11th, 2024 [March 11th, 2024]
- This AI Paper from Huawei Introduces DenseSSM: A Novel Machine Learning Approach to Enhance the Flow of Hidden Information between Layers in State... - March 11th, 2024 [March 11th, 2024]
- Machine learning and the prediction of suicide in psychiatric populations: a systematic review | Translational Psychiatry - Nature.com - March 11th, 2024 [March 11th, 2024]
- Machine learning algorithms show applications in OAB, antibiotic resistance - Urology Times - March 11th, 2024 [March 11th, 2024]
- Scientists develop new machine learning method for modeling chemical reactions - Phys.org - March 11th, 2024 [March 11th, 2024]
- Machine learning developed a CD8+ exhausted T cells signature for predicting prognosis, immune infiltration and drug ... - Nature.com - March 11th, 2024 [March 11th, 2024]
- Single Transit Detection In Kepler With Machine Learning And Onboard Spacecraft Diagnostics - Astrobiology - Astrobiology News - March 11th, 2024 [March 11th, 2024]
- Meta AI Proposes Wukong: A New Machine Learning Architecture that Exhibits Effective Dense Scaling Properties Towards a Scaling Law for Large-Scale... - March 11th, 2024 [March 11th, 2024]
- Putting the AI in NIA: New opportunities in artificial intelligence - National Institute on Aging - March 11th, 2024 [March 11th, 2024]
- Revolutionizing LLM Training with GaLore: A New Machine Learning Approach to Enhance Memory Efficiency without Compromising Performance - MarkTechPost - March 11th, 2024 [March 11th, 2024]
- Uncertainty-aware deep learning for trustworthy prediction of long-term outcome after endovascular thrombectomy ... - Nature.com - March 11th, 2024 [March 11th, 2024]
- AI Engineer Salary: The Lucrative World of AI Engineering - Simplilearn - March 11th, 2024 [March 11th, 2024]
- Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma ... - Nature.com - March 11th, 2024 [March 11th, 2024]
- Northrop Grumman Partners to Advance Deep Sensing for the US Army | Northrop Grumman - Northrop Grumman Newsroom - March 11th, 2024 [March 11th, 2024]
- Global cellular IoT connections to grow 90% to 6.5 bn by 2028: Juniper Research - ETTelecom - March 11th, 2024 [March 11th, 2024]
- Enhancing statistical reliability of weather forecasts with machine learning - Phys.org - March 11th, 2024 [March 11th, 2024]
- Inside AI: Talking to the Data - Inside Unmanned Systems - March 11th, 2024 [March 11th, 2024]
- Anemond's Factoid 2 is an experimental sampler plugin that uses machine learning to "decompose", remix and ... - MusicRadar - March 11th, 2024 [March 11th, 2024]
- Advancing Chemistry with AI: New Model for Simulating Diverse Organic Reactions - Lab Manager Magazine - March 11th, 2024 [March 11th, 2024]
- Generative AI: Understand the challenges to realize the opportunities | Amazon Web Services - AWS Blog - March 11th, 2024 [March 11th, 2024]
- How To Specialize in Artificial Intelligence - Troy Today - Troy University - March 11th, 2024 [March 11th, 2024]
- Google DeepMind Introduces Two Unique Machine Learning Models, Hawk And Griffin, Combining Gated Linear Recurrences With Local Attention For Efficient... - March 11th, 2024 [March 11th, 2024]
- Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together | Amazon Web Services - AWS Blog - March 11th, 2024 [March 11th, 2024]
- Introducing Microsoft's AI Red Team And PyRIT - AiThority - March 11th, 2024 [March 11th, 2024]
- Unveiling the World of Artificial Intelligence: A Beginner's Guide - Medium - January 3rd, 2024 [January 3rd, 2024]
- How machine learning might unlock earthquake prediction - MIT Technology Review - January 3rd, 2024 [January 3rd, 2024]
Tags: