AIMC Topic: Male

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Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

Journal of healthcare engineering
For hospitals' admission management, the ability to predict length of stay (LOS) as early as in the preadmission stage might be helpful to monitor the quality of inpatient care. This study is to develop artificial neural network (ANN) models to predi...

[Diagnosis Values of Back Propagation Neural Network Integrating Age, Transrectal Ultrasound Characteristics and Serum PSA for Prostate Cancer].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
OBJECTIVE: To explore the diagnosis value of back propagation (BP) neural network integrating age, transrectal ultrasound characteristics and serum prostate specific antigen (PSA) for prostate cancer.

Automated Tracking and Quantification of Autistic Behavioral Symptoms Using Microsoft Kinect.

Studies in health technology and informatics
The prevalence of autism spectrum disorder (ASD) has risen significantly in the last ten years, and today, roughly 1 in 68 children has been diagnosed. One hallmark set of symptoms in this disorder are stereotypical motor movements. These repetitive ...

Assessment of Haptic Interaction for Home-Based Physical Tele-Therapy using Wearable Devices and Depth Sensors.

Studies in health technology and informatics
In this paper a prototype system is presented for home-based physical tele-therapy using a wearable device for haptic feedback. The haptic feedback is generated as a sequence of vibratory cues from 8 vibrator motors equally spaced along an elastic we...

Discussion on robot-assisted laparoscopic cystectomy and Ileal neobladder surgery preoperative care.

Pakistan journal of pharmaceutical sciences
To investigate the clinical applications of robot-assisted radical cystectomy with orthotopic ileal neobladder (RARC-INB) and make a preliminary summary. Retrospective analysis the clinical data of 12 patients underwent robotic bladder cancer (da vin...

Alzheimer's Disease Brain Areas: The Machine Learning Support for Blind Localization.

Current Alzheimer research
The analysis of positron emission tomography (PET) scan image is challenging due to a high level of noise and a low resolution and also because differences between healthy and demented are very subtle. High dimensional classification methods based on...

Fuzzy Computer-Aided Alzheimer's Disease Diagnosis Based on MRI Data.

Current Alzheimer research
Alzheimer's disease (AD) is a chronic neurodegenerative disease of the central nervous system that has no cure and leads to death. One of the most prevalent tools for AD diagnosis is magnetic resonance imaging (MRI), because of its capability to visu...

Prediction of Lumbar Disc Herniation Patients' Satisfaction with the Aid of an Artificial Neural Network.

Turkish neurosurgery
AIM: To identify key determinants of lumbar disc herniation (LDH) patients' satisfaction and to evaluate the efficiency of an artificial neural network (ANN) model to prognosticate satisfaction derived from the hospital stay in this specific patient ...

Colorectal Cancer Staging Using Three Clustering Methods Based on Preoperative Clinical Findings.

Asian Pacific journal of cancer prevention : APJCP
Determination of the colorectal cancer stage is possible only after surgery based on pathology results. However, sometimes this may prove impossible. The aim of the present study was to determine colorectal cancer stage using three clustering methods...

Best facilitated cortical activation during different stepping, treadmill, and robot-assisted walking training paradigms and speeds: A functional near-infrared spectroscopy neuroimaging study.

NeuroRehabilitation
BACKGROUND: Robot-assisted and treadmill-gait training are promising neurorehabilitation techniques, with advantages over conventional gait training, but the neural substrates underpinning locomotor control remain unknown particularly during differen...