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Due to the increase of lung cancer in Korea, survival analysis for this kind of cancer gets emerging in recent years. Statistical and traditional machine learning methods usually used by medical doctors for this task. Which the success of deep learning ...

Periventricular leukomalacia (PVL) is brain injury that develops commonly in neonates after cardiac surgery. Earlier identification of patients who are at higher risk for PVL may improve clinicians' ability to optimize care for these challenging ...

Ovarian Cancer (OC) is the fifth leading cause of death among women worldwide. Epithelial Ovarian Cancer (EOC) was molecularly classified into two sub-classes based on stage-directed supervised classification approach of the International Federation of ...

Non-pharmacological interventions are the most common and arguably most effective for people with dementia. Some of these approaches have been proven to benefit from the usage of biographical or personalized materials. These contents are not always easy ...

Describing, prioritizing, and selecting alleles from large sequencing experiments remains technically challenging. SeqAnt (https://seqant.emory.edu) is the first online, cloud-based application that makes these tasks accessible for non-programmers, even ...

Sequencing an individual genome typically produces approximately three million variants compared to the human reference genome. The consequence for each variant depends on the location and nature of the variant and is a key question for genetic analysts ...

Clinical decision support systems have been shown to improve practitioner performance. Most systems designed to prevent medication errors generate lists with patients who fulfill the criteria of the algorithm. These lists are reviewed by a pharmacist ...

Display Omitted This method was feasible to evaluate users information processing of alerts.This method detected significant differences between two alert displays.The study method may be useful for other health information technology displays. ...

Text mining in clinical domain is usually more difficult than general domains (e.g. newswire reports and scientific literature) because of the high level of noise in both the corpus and training data for machine learning (ML). A large number of unknown ...

It is estimated that 30 million people in the United States have an eating disorder, and many more have unhealthy eating behaviors [5]. In addition to being psychological in nature, eating disorders are a social problem driven by the mass media ...

As a result of the recent trend towards digitization-- which increasingly affects evidence-based medicine, accountable care, personalized medicine, and medical "Big Data" analysis --growing amounts of clinical data are becoming available for analysis. ...

This paper presents a solution to improve clinical triage with a network of Wireless Sensor Tags based on pulse oximeters. The wireless sensor measures vital signs on a patient and outputs an automated clinical analysis. A central unit monitors these ...

BACKGROUND: Delirium is a highly prevalent condition in the hospital settings, with prevalence rates ranging from 6% to 56%, based on previous studies. A recent review provides evidence for the need of practice tools at the point of care to increase impact ...

Participatory research, where participants in research projects take an active role in research activities is an emerging trend that helps participants understand the long- term impact of research, reduces participant dropout rates, and shapes research ...

Healthcare technologies have a reputation for being overly-complex, difficult-to-use, uninspired, and unusable. There is a significant opportunity to incorporate human-centered design into healthcare through the synthesis of deep healthcare domain ...

Theory has an important place in HCI research in healthcare. However, resources on this area are spread across different multidisciplinary journals. It is timely for the community to reflect on the classic, modern, and contemporary theories they use, to ...

Communication within clinical settings is crucial for successful clinical practice. However, this is challenging when the clinician interacts with patients with Intellectual Disabilities (ID) who may have communication difficulties or find it difficult ...

When processing a noisy corpus such as clinical texts, the corpus usually contains a large number of misspelt words, abbreviations and acronyms while many ambiguous and irregular language usages can also be found in training data needed for supervised ...

A bespoke electronic system, now being used regularly across Northern Ireland to facilitate the multidisciplinary team process in its recording of the team decisions for cancer patients, is investigated. Over 80% of the expected targets for cancer ...

We present the software architecture for a coming commu­nity resource, the Multi-source Integrated Platform for An­swering Clinical Questions (MiPACQ). This system is de­signed to capitalize on state-of-the-art semantic annotation of text to answer ...