Hospital-Based Medicine

Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs).

There are a large number of tomato cultivars with a wide range of morphological, chemical, nutrition...

Performance Analysis of Hospital Managers Using Fuzzy AHP and Fuzzy TOPSIS: Iranian Experience.

BACKGROUND AND OBJECTIVES: Hospitals are complex organizations that require strong and effective man...

Understanding safety-critical interactions with a home medical device through Distributed Cognition.

As healthcare shifts from the hospital to the home, it is becoming increasingly important to underst...

Cervical Scoliosis: Clinical and Radiographic Outcomes.

Study Design Retrospective study. Objective Cervical scoliosis is a rare condition that can arise fr...

Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary.

BACKGROUND: Electronic medical record (EMR) systems have become widely used throughout the world to ...

A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation.

Autonomous poststroke rehabilitation systems which can be deployed outside hospital with no or reduc...

An end-to-end hybrid algorithm for automated medication discrepancy detection.

BACKGROUND: In this study we implemented and developed state-of-the-art machine learning (ML) and na...

Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt...

Surgical Excision of Advanced Endometriosis: Perioperative Outcomes and Impacting Factors.

OBJECTIVE: To determine perioperative outcomes and factors impacting operating time, length of hospi...

Assessment of surveys for the management of hospital clinical pharmacy services.

OBJECTIVE: Survey data sets are important sources of data, and their successful exploitation is of k...

Detecting tympanostomy tubes from otoscopic images via offline and online training.

Tympanostomy tube placement has been commonly used nowadays as a surgical treatment for otitis media...

Multiscale Modeling of Gene-Behavior Associations in an Artificial Neural Network Model of Cognitive Development.

In the multidisciplinary field of developmental cognitive neuroscience, statistical associations bet...

Development of a standardised training curriculum for robotic surgery: a consensus statement from an international multidisciplinary group of experts.

OBJECTIVES: To explore the views of experts about the development and validation of a robotic surger...

State of the art of fuzzy methods for gene regulatory networks inference.

To address one of the most challenging issues at the cellular level, this paper surveys the fuzzy me...

Analyses of a cirrhotic patient's evolution using self organizing mapping and Child-Pugh scoring.

Due to the importance of cirrhosis evolution, this study examined cirrhotic patients using Self Orga...

Re: Editorial comment on early discharge after laparoscopic or robotic partial nephrectomy: care pathway evaluation: M. P. Laguna J Urol 2014;192:1639.

Predicting inpatient stay lasting 2 midnights or longer after robotic surgery for endometrial cancer.

OBJECTIVE: To estimate the rate of inpatient stay and the factors predicting inpatient status after ...

Permutation entropy analysis of vital signs data for outcome prediction of patients with severe traumatic brain injury.

Permutation entropy is computationally efficient, robust to outliers, and effective to measure compl...

Prediction of hospitalization due to heart diseases by supervised learning methods.

BACKGROUND: In 2008, the United States spent $2.2 trillion for healthcare, which was 15.5% of its GD...

Factors influencing same-day hospital discharge and risk factors for readmission after robotic surgery in the gynecologic oncology patient population.

STUDY OBJECTIVE: To determine the factors that allow for a safe outpatient robotic-assisted minimall...

Technology advances in hospital practices: robotics in treatment of patients.

Laparoscopic cholecystectomy is widely considered as the treatment of choice for acute cholecystitis...