AIMC Topic: Aged, 80 and over

Clear Filters Showing 3641 to 3650 of 3658 articles

Effects of combined epidural analgesia with total intravenous anesthesia on risky patients underwent major abdominal surgery.

Agri : Agri (Algoloji) Dernegi'nin Yayin organidir = The journal of the Turkish Society of Algology
OBJECTIVES: The aim of this study is to investigate the effects of combined epidural analgesia with total intravenous anaesthesia and only total intravenous anaesthesia on the different clinical parameters.

Ambient Temperature Change Increases in Stroke Onset: Analyses Based on the Japanese Regional Metrological Measurements.

Journal of Nippon Medical School = Nippon Ika Daigaku zasshi
BACKGROUND: Relationships between various climate factors and stroke have long been a subject of investigation. The present study investigated in a single medical center the effects of periodic temperature changes on the onset of intracerebral hemorr...

[A case report of hepatitis B virus reactivation in a hepatitis B core antibody-positive, hepatitis B surface antigen-negative hemodialysis patient].

Nihon Jinzo Gakkai shi
Reactivation of the hepatitis B virus (HBV) has been reported in patients receiving immunosuppressive therapy or chemotherapy. We report a case of HBV reactivation in a patient negative for hepatitis B surface antigen (HBsAg), positive for hepatitis ...

Robotic Companions for Older People: A Case Study in the Wild.

Studies in health technology and informatics
Older people tend to have difficulties using unknown technical devices and are less willing to accept technical shortcomings. Therefore, a robot that is supposed to support older people in managing daily life has to adapt to the users' needs and capa...

Classification of older adults with/without a fall history using machine learning methods.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Falling is a serious problem in an aged society such that assessment of the risk of falls for individuals is imperative for the research and practice of falls prevention. This paper introduces an application of several machine learning methods for tr...

[NEW METHOD OF PARTIAL NEPHRECTOMY WITH SELECTIVE PARENCHYMA CLAMPING].

Vestnik khirurgii imeni I. I. Grekova
The authors suggested a new method of performance of open, laparoscopic and robot-assisted partial nephrectomy using specially developed instruments for selective parenchyma clamping in order to improve the functional results of renal cell carcinoma ...

Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine.

Journal of Alzheimer's disease : JAD
Alzheimer's disease (AD) is one of the most serious progressive neurodegenerative diseases among the elderly, therefore the identification of conversion to AD at the earlier stage has become a crucial issue. In this study, we applied multimodal suppo...

Neuropsychological test selection for cognitive impairment classification: A machine learning approach.

Journal of clinical and experimental neuropsychology
INTRODUCTION: Reducing the amount of testing required to accurately detect cognitive impairment is clinically relevant. The aim of this research was to determine the fewest number of clinical measures required to accurately classify participants as h...

Fast, Continuous Audiogram Estimation Using Machine Learning.

Ear and hearing
OBJECTIVES: Pure-tone audiometry has been a staple of hearing assessments for decades. Many different procedures have been proposed for measuring thresholds with pure tones by systematically manipulating intensity one frequency at a time until a disc...

Bodypart Recognition Using Multi-stage Deep Learning.

Information processing in medical imaging : proceedings of the ... conference
Automatic medical image analysis systems often start from identifying the human body part contained in the image; Specifically, given a transversal slice, it is important to know which body part it comes from, namely "slice-based bodypart recognition...