Health
An executable file to show the design of a trans-esophageal ultrasound robot that can control a standard probe to perform the examination remotely.
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3 Views
We provide two datasets extracted from Twitter, in Spanish and English, and annotate each one with approximately 1,500 users who have been diagnosed with one of nine different mental disorders (Adhd, Autism, Anxiety, Bipolar, Depression, Eating disoders, Ocd, Ptsd and Schizophrenia) along with 1,700 matched-control users.
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11 Views
N/A
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121 Views
Gestational diabetes is a type of high blood sugar that develops during pregnancy. It can occur at any stage of pregnancy and cause problems for both the mother and the baby, during and after birth. The risks can be reduced if they are early detected and managed, especially in areas where only periodic tests of pregnant women are available. Intelligent systems designed by machine learning algorithms are remodelling all fields of our lives, including the healthcare system. This study proposes a combined prediction model to diagnose gestational diabetes.
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904 Views
This is a research about a method that I studied to treat virus COVID-19 or any other viruses by modifying and tricking the virus .
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240 Views
The dataset contains short video clips of four shoulder exercises.
- Arm flexion and extension
- Arm abduction and adduction
- Arm lateral and medial rotation
- Arm circumduction
The videos are labeled as either correct or incorrect.
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97 Views
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52 Views
'XMD.mat' is the deterioration levels monitored before the failure of 10 components。
'XMDS.mat' is the deterioration levels monitored before the failure of 10 components subjected to random shocks.
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104 Views
We create a thermal infrared face dataset (TIF) for fever screening. TIF is collected at the entrance of our university’s engineering building. The infrared face images are captured by an infrared camera under different environmental conditions.
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272 Views
Nowadays, more and more machine learning models have emerged in the field of sleep staging. However, they have not been widely used in practical situations, which may be due to the non-comprehensiveness of these models' clinical and subject background and the lack of persuasiveness and guarantee of generalization performance outside the given datasets. Meanwhile, polysomnogram (PSG), as the gold standard of sleep staging, is rather intrusive and expensive. In this paper, we propose a novel automatic sleep staging architecture calle
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79 Views