Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke.

Early and accurate diagnosis of stroke improves the probability of positive outcome. The objective of this study was to identify a pattern of gene expression in peripheral blood that could potentially be optimised to expedite the diagnosis of acute ischaemic stroke (AIS). A discovery cohort was recruited consisting of 39 AIS patients and 24 neurologically asymptomatic controls. Peripheral blood wa...

Nov 30 2016 29263821

Ileostomy creation in colorectal cancer surgery: risk of acute kidney injury and chronic kidney disease.

BACKGROUND: Ileostomy creation is associated with postoperative dehydration and readmission; however, the effect on renal function is unknown. Our goal was to characterize the impact of ileostomy creation on acute and chronic renal function.

Nov 29 2016 28457330
Artificial intelligence: Neural network model as the multidisciplinary team member in clinical decision support to avoid medical mistakes.

OBJECTIVE: The continuous uninterrupted feedback system is the essential part of any well-organized system. We propose aLYNX concept that is a possibi...

Nov 22 2016 29063038
Early surgery after angiography in patients scheduled for valve replacement.

Background There are limited data regarding the risks of cardiac surgery early after coronary angiography in patients scheduled for isolated aortic an...

Nov 14 2016 28074703
Procalcitonin as a potential predicting factor for prognosis in bacterial meningitis.

We investigated the potential role of serum procalcitonin in differentiating bacterial meningitis from viral meningitis, and in predicting the prognos...

Oct 26 2016 28341167
Robotic Pancreaticoduodenectomy: Single-Surgeon Initial Experience.

Minimally invasive surgery has gained increasing acceptance over the last few years, which has expanded to pancreaticoduodenectomy. Laparoscopic pancr...

Oct 21 2016 29581684
Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.

The ability to predict psychiatric readmission would facilitate the development of interventions to reduce this risk, a major driver of psychiatric he...

Oct 18 2016 27754482
Emergence of gamma motor activity in an artificial neural network model of the corticospinal system.

Muscle spindle discharge during active movement is a function of mechanical and neural parameters. Muscle length changes (and their derivatives) repre...

Sep 27 2016 27677889
Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recentl...

Sep 26 2016 27752278
Baseline characteristics of patients with heart failure and preserved ejection fraction at admission with acute heart failure in Saudi Arabia.

UNLABELLED: Heart failure and preserved ejection fraction (HFpEF) is defined as heart failure symptoms and signs with a normal or near-normal ejection...

Sep 3 2016 29622951
A mixed-ensemble model for hospital readmission.

OBJECTIVE: A hospital readmission is defined as an admission to a hospital within a certain time frame, typically thirty days, following a previous di...

Aug 31 2016 27664509
Technical notes on pure laparoscopic isolated caudate lobectomy for patient with liver cancer.

BACKGROUND: The advantages of laparoscopic liver resection become more obvious as evidence on its long-term outcome has emerged. Compared to open rese...

Jul 1 2016 28138623
Intrathecal injection of tigecycline in treatment of multidrug-resistant meningitis: a case report.

The ubiquitous is an important and troublesome pathogen of nosocomial infection. Multidrug-resistant meningitis is very difficult to treat, usually ...

Jun 24 2016 31156934
Dense Annotation of Free-Text Critical Care Discharge Summaries from an Indian Hospital and Associated Performance of a Clinical NLP Annotator.

Electronic Health Record (EHR) use in India is generally poor, and structured clinical information is mostly lacking. This work is the first attempt a...

Jun 24 2016 27342107
Energy landscapes for a machine-learning prediction of patient discharge.

The energy landscapes framework is applied to a configuration space generated by training the parameters of a neural network. In this study the input ...

Jun 17 2016 27415390
Using self-organizing maps to infill missing data in hydro-meteorological time series from the Logone catchment, Lake Chad basin.

Hydro-meteorological data is an important asset that can enhance management of water resources. But existing data often contains gaps, leading to unce...

Jun 9 2016 27282595
Developing Artificial Neural Network Models to Predict Functioning One Year After Traumatic Spinal Cord Injury.

OBJECTIVE: To develop mathematical models for predicting level of independence with specific functional outcomes 1 year after discharge from inpatient...

May 18 2016 27208647
Detecting borderline infection in an automated monitoring system for healthcare-associated infection using fuzzy logic.

BACKGROUND: Many electronic infection detection systems employ dichotomous classification methods, classifying patient data as pathological or normal ...

Apr 28 2016 27156053
From binary presumptive assays to probabilistic assessments: Differentiation of shooters from non-shooters using IMS, OGSR, neural networks, and likelihood ratios.

Screening tests are used in forensic science for field testing and directing laboratory analysis of physical evidence. These tests are often binary in...

Apr 21 2016 27131217
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