Comparison of morphometric parameters in prediction of hydrocephalus using random forests-Reference-Cited by-同舟云学术

Comparison of morphometric parameters in prediction of hydrocephalus using random forests

Published:2020-01 Issue: Volume:116 Page:103547
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Ozgode Yigin Busra^ORCID,Algin Oktay,Saygili Gorkem

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference27 articles.

1. Lateral ventricle ratios correlated to diameters of cerebrum - a study on CT scans of head;Patnaik;J. Anat. Sciences.,2014

2. Gender related differences in Third ventricle parameters with correlation to cerebrum size - a study on head CT scans;Patnaik;Int. J. Health Sci. Res.,2015

3. Intracranial pressure parameters in idiopathic normal pressure hydrocephalus patients treated with ventriculo-peritoneal shunts;Eide;Acta Neurochir.,2006

4. Intracranial pressure parameters in idiopathic normal pressure hydrocephalus patients with or without improvement of cognitive function after shunt treatment;Foss;Dement. Geriatr. Cognit. Disord.,2007

5. Fully Automated Volumetric Classification in CT Scans for Diagnosis and Analysis of Normal Pressure Hydrocephalus;Zhang,2019

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-07-24

2. Airfoil aerodynamic performance prediction using machine learning and surrogate modeling;Heliyon;2024-04

3. H-Detect: an Algorithm for Early Detection of Hydrocephalus;Informatics and Automation;2024-03-28

4. A Review of Machine Learning Classification Based on Random Forest Algorithm;Artificial Intelligence and Robotics Research;2024

5. Detecting Hydrocephalus Using CT Scans and Machine Leaning Techniques;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27