Results 181 to 190 of about 214,079 (347)

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

open access: yesAdvanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu   +7 more
wiley   +1 more source

Thyroid function tests: Possible forgotten error in testing

open access: yesMedical Journal of Dr. D.Y. Patil University, 2016
Viroj Wiwanitkit
doaj   +1 more source

An in vitro Thyroid Function Test by Res-O-Mat T3 Kit

open access: bronze, 1970
Y Yonahara   +4 more
openalex   +2 more sources

Thyroid function tests [PDF]

open access: green, 2000
P. Kendall‐Taylor
openalex   +1 more source

CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set

open access: yesAdvanced Intelligent Systems, EarlyView.
In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost predictive performance. Moreover, they are noise‐sensitive, leading to suboptimal feature selection and accuracy degradation.
Duanyang Feng   +4 more
wiley   +1 more source

Thyroid function tests, incongruent internally and with thyroid status, both in a pregnant woman and in her newborn daughter. [PDF]

open access: yesEur Thyroid J, 2022
D'Aurizio F   +7 more
europepmc   +1 more source

Clinlabomics‐Enabled Blending Ensemble Learning for Low‐Cost Pan‐Cancer Detection and Classification Using Routine Clinical Laboratory Data

open access: yesAdvanced Intelligent Systems, EarlyView.
Researchers develop clinlabomics assisted for cancer identification, an artificial intelligence‐powered system using routine clinical lab data to detect and identify 10 cancer types. Tested on 19 199 individuals, it achieves 90.39% sensitivity and 82.41% specificity in cancer detection, with 72.57% accuracy in identifying specific cancer types ...
Bowen Zhang   +9 more
wiley   +1 more source

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