Predicting dementia with routine care EMR data
Publication date: Available online 5 December 2019Source: Artificial Intelligence in MedicineAuthor(s): Zina Ben Miled, Kyle Haas, Christopher M. Black, Rezaul Karim Khandker, Vasu Chandrasekaran, Richard Lipton, Malaz A. BoustaniAbstractOur aim is to develop a machine learning (ML) model that can predict dementia in a general patient population from multiple health care institutions one year and three years prior to the onset of the disease without any additional monitoring or screening. The purpose of the model is to automate the cost-effective, non-invasive, digital pre-screening of patients at risk for dementia.Towards this purpose, routine care data, which is widely available through Electronic Medical Record (EMR) systems is used as a data source. These data embody a rich knowledge and make related medical applications easy to deploy at scale in a cost-effective manner. Specifically, the model is trained by using structured and unstructured data from three EMR data sets: diagnosis, prescriptions, and medical notes. Each of these three data sets is used to construct an individual model along with a combined model which is derived by using all three data sets. Human-interpretable data processing and ML techniques are selected in order to facilitate adoption of the proposed model by health care providers from multiple institutions.The results show that the combined model is generalizable across multiple institutions and is able to predict dementia within one year of its on...
People with early signs of the ailment sign new advance directives to say how they want to die. They may offer a false sense of security.
DEMENTIA is a progressive neurological condition that mainly affects people over the of 65, although it is not a natural part of ageing. Spotting the early warning signs is key to maintaining quality of life for as long as possible. A recent study suggests that Alzheimer ’s disease, the most common form of dementia, can be signalled by a change in your eyes.
Authors: Herring WJ, Ceesay P, Snyder E, Bliwise D, Budd K, Hutzelmann J, Stevens J, Lines C, Michelson D Abstract INTRODUCTION: We evaluated the clinical profile of the orexin receptor antagonist suvorexant for treating insomnia in patients with mild-to-moderate probable Alzheimer's disease (AD) dementia. METHODS: Randomized, double-blind, 4-week trial of suvorexant 10 mg (could be increased to 20 mg based on clinical response) or placebo in patients who met clinical diagnostic criteria for both probable AD dementia and insomnia. Sleep was assessed by overnight polysomnography in a sleep laboratory. The primar...
ConclusionBerberine could impede the development of dementia via multiple mechanisms: preventing brain damages and enhancing cognition directly in the brain, and indirectly through alleviating risk factors such as metabolic dysfunction, and cardiovascular, kidney and liver diseases. This study provided evidence to support the value of berberine in the prevention of dementia associated with MetS.
The IPDGC (The International Parkinson Disease Genomics Consortium) and EADB (Alzheimer Disease European DNA biobank) are listed correctly as an author to the article, however, they were incorrectly listed more than once.
ConclusionsConsidering the high prevalence of in particular cognitive impairment, and the diversity of impairments, the cognitive and behavioral aspects of Japanese ALS patients should be given more attention clinically.
AbstractPurposeOur aim was to examine whether quality of life which was repeatedly assessed over time is related with the comprehensive assessment of quality of life (QoL) and thereby to validate a brief QoL assessment.MethodThis longitudinal study used a comprehensive assessment of quality of life at baseline (QUALIDEM; 37 items) to validate an eight-item version of QUALIDEM to assess momentary quality of life which was repeatedly administered using a tablet device after baseline. In all, 150 people with dementia from 10 long-term facilities participated. Momentary quality of life and comprehensive quality of life, age, g...
Authors: Yoo R, Yeom J, Kim GH, Park HK, Kang Y, Hwang J, Choi SH, Na HR, Cho SJ, Yu KH, Kim DH, Lee JH, Jeong JH Abstract This corrects the article on p. 235 in vol. 15, PMID: 30938110. PMID: 31942782 [PubMed - in process]
Authors: Lai SW PMID: 31942773 [PubMed]