The health index measures a person’s overall status which provides useful information for people to manage their health, so developing precise and relevant is urgent. Currently, many researchers have studied the biological age (BA) estimation, one of beneficial indices, by applying machine learning deep techniques data. However, most them focused on chronological prediction or basic latent feat...

Abstract Introduction Machine Learning (ML) can draw upon complex patient data to predict current and future health status, but the best performing ML models are often difficult interpret. One such ML-defined marker is brain age index (BAI), difference between ML-predicted chronological (CA) using electroencephalogram (EEG) during sleep. BAI associated with multiple disease states including inc...

The International Classification of Diseases Clinical Modification 10th Revision (ICD-CM-10) introduced diagnosis codes for week gestation at delivery (8-42 weeks). Our objective was to assess the validity these codes, which could have major utility in perinatal research and quality improvement. We used linked birth certificate hospitalization discharge data from all live births California duri...

Practical estimation procedures for local linear estimation of an unrestricted failure rate when more information is available than just time are developed. This extra information could be a covariate and this covariate could be a time series. Time dependent covariates are sometimes called markers, and failure rates are sometimes called hazards, intensities or mortalities. It is shown through s...

OBJECTIVE To develop a high performance machine learning (ML) approach for predicting the age and consequently the state of brain development of infants, based on their event related potentials (ERPs) in response to an auditory stimulus. METHODS The ERP responses of twenty-nine 6-month-olds, nineteen 12-month-olds and 10 adults to an auditory stimulus were derived from electroencephalogram (E...

background: to determine the atmospheric contamination by pesticides, conducting laboratory studies is necessary before operating field studies. the aim of this research study was to develop an analytical method to sample and simultaneously determine airborne amitraz and its metabolite. methods: a modified fritted impinger with acetonitrile as the liquid sorbent was used in order to study the a...

a sensitive fluorometric method for the determination of deferiprone (dfp) based on the formation of a luminescent complex with tb3+ ions in aqueous solutions is reported. the maximum excitation and emission wavelengths were 295 and 545 nm, respectively. the effects of various factors on the luminescence intensity of the system were investigated and optimized, then under the optimum conditions,...

there is a great interest in developing rapid analytical methods and provide appropriate parametersfor quantitative analysis of compounds derived from refractory pollutants. such methods are important forroutine quality control analysis of an effluent before being discharged into the environment. therefore, a rapid methodology for identification and quantification of some aliphatic acids is pro...

background and objectives: this study aimed to develop and validate a food frequency questionnaire (ffq) for measuring calcium intake in 9-13 years old children in tehran, iran. materials and methods: a 56-item ffq containing main contributors of calcium in iranian diet was designed. criterion validity of the calcium specific ffq was evaluated through comparing its result with five 24-h recalls...