AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Securities.io

Crypto Security Needs Market-Aware Phishing Detection

In the modern age where most assets and valuable information are digitalized, phishing scams are an important way criminals steal money, much higher than “normal” physical robbery & extortion, with up ...
The Banker

Banks and regulators clash over ‘black box’ AI credit risk

Earlier this year when a UK Treasury Committee released a report warning that regulators’ complacency on AI in financial ...
Nature

Interpretable machine learning based decision tree model for predicting obstructive airway disease in a large non-smoking health screening population

Obstructive airway disease is defined by reduced FEV₁ and an FEV₁/FVC ratio below 70%. While pulmonary function testing is essential, few studies have used demographic, biochemical, and lifestyle data ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...
The New York Times

Starting at Harvard and Falling for Your First Tree

A freshman seminar encourages students to behave differently in the world and feel more passionately about biodiversity. Each Harvard University freshman in the “Tree” seminar must choose a single ...
Frontiers

Editorial: Machine learning algorithms for brain imaging: new frontiers in neurodiagnostics and treatment

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...
Frontiers

Clinical decision system for renal cell carcinoma integrating interpretable machine learning algorithms

Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and improve prognosis ...
Nature

Decision tree-based machine learning methods for identifying colorectal cancer-associated microRNA signatures and their regulatory networks

This study aimed to identify candidate diagnostic miRNAs from the serum of colorectal cancer (CRC) patients using Boruta, a wrapper-based feature selection technique, in combination with decision tree ...
ahajournals.org

The Promise and Peril of Learning Algorithms and Predictive Models in Clinical Decision Support: Be Careful What You Train For

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical decision-making through the identification and ...
news.bloomberglaw

Navigating a Patent Gap for AI and Machine Learning Algorithms

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...