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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "An interpretable learning" (30 stories)

Development, validation, and user-centric evaluation of an interpretable machine learning decision support tool for the preoperative prediction of mild bleeding disorders (MBD-Check): a prospective diagnostic prediction study

Lead StoryThe Lancetgeneral

2d ago

Development, validation, and user-centric evaluation of an interpretable machine learning decision support tool for the preoperative prediction of mild bleeding disorders (MBD-Check): a prospective diagnostic prediction study

<a href="https://news.google.com/rss/articles/CBMizAFBVV95cUxNdkdFVWJLVkp3cTcyUGt4MEc5eDY3Z3pfdkxvSUpLQTVnTWkxWXlYMURCWmdXZG04aVdRb2VWVzdwVG10azVoVld3aFVheXVaTEt0WmJWZzB2T1RVZ2d0cnZxNXNma3o5aFRWUEE2bDNQVzUtS3pYRTVLQXNiUThSb0pta2JqbHZBTWVxcy1KZDUzUVVsVlZteE80RmEyd3JsMmRrZEExbzJ4OV9XVFd4eml6VDlJcTNmYlRSOV96aEVtOHVYZlJ2MURqZWo?oc=5" target="_blank">Development, validation, and user-centric evaluation of an interpretable machine learning decision support tool for the preoperative prediction of mild bleeding disorders (MBD-Check): a prospective diagnostic prediction study</a>&nbsp;&nbsp;The Lancet

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Search Results for "An interpretable learning"

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29 stories displayed

An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data

Naturegeneral

Aug 31

An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBVRGdSV2szX3VDc3BOZk5sc1FkTF9jWmpPczUxSTI3R0lBb3hTaFVNMndOWFJwWGJLaHdlUEY2alpxYS1fZXR6aHEtOUVrWEljTVk5Yy10TFh3RTlSYXlR?oc=5" target="_blank">An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data</a>&nbsp;&nbsp;Nature

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Development, validation, and user-centric evaluation of an interpretable machine learning decision support tool for the preoperative prediction of mild bleeding disorders (MBD-Check): a prospective diagnostic prediction study

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Search Results for "An interpretable learning"

An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data

Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network

DepressNet: an interpretable machine learning framework for depression severity stratification using psychometric data

An Interpretable Physics-Guided Deep Learning (IPGDL) Framework for Blue-Green Water Robust Projection and Nonlinear Interpretation in the River Basin

HisToSpatialCNV: an interpretable deep learning method predicting spatial copy number variations from histopathology images

An interpretable machine learning framework for classifying human and machine translations across genres

BraMARS: An Interpretable Histopathology-Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited-Stage SCLC

MetaXVP: an interpretable machine learning framework for deep insight into variant pathogenicity and VUS classification

An interpretable machine learning model for predicting 1-year major adverse cardiovascular events in patients with type 2 diabetes and hypertension

An interpretable deep learning biomarker for prognostication and prediction of adjuvant chemotherapy benefit in gastric cancer

An interpretable machine-learning model for early prediction of acute kidney injury in polytrauma patients

An interpretable model based on concept and argumentation for tabular data

An interpretable machine learning model for biomarker identification and diagnostic nomogram development in hypo-productive thrombocytopenia

Interpretable deep learning framework for mapping E3–substrate binding interfaces

An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation

An interpretable machine learning model predicts frailty risk in middle-aged and older adults with gastrointestinal disease: a longitudinal study

An interpretable machine learning model for predicting stroke in patients with hypertension: insights from the SPRINT

Interpretable deep learning reveals distinct spectral and temporal drivers of perceived musical emotion

Interpretable machine learning for predicting school absenteeism at-scale in Brazil: evidence from 22,000 schools

An interpretable radiomics–machine learning model for early risk stratification of invasive fungal infections in community-acquired pneumonia: a dual-center study

Interpretable Deep Learning for Risk Representation: A Risk Model for Construction Safety

DHDM: An interpretable masked deep‐learning model for hail potential forecasting

Interpretable multimodal deep learning improves postoperative risk stratification in intrahepatic cholangiocarcinoma in multicentre cohorts

Octahedral-motif-guided design of optoelectronic semiconductors via interpretable machine learning

Benchmarking Reinforcement Learning Algorithms for ICU Ventilator Settings: An Interpretable and Probabilistic Patient Environment for Doctor Agents

Interpretable Machine Learning for Revealing Main and Interactive Effects of Ozone and Meteorological Factors on Crop Photosynthesis

Interpretable machine learning model advances analysis of complex genetic traits

An interpretable machine learning model using routine clinical data for early recurrence prediction in hepatocellular carcinoma

Predicting extubation failure in patients with cardiorespiratory decompensation: development and validation of an interpretable machine learning–based risk calculator