Forecasting User Interests Through Topic Tag Predictions in Online Health Communities

The increasing reliance on online communities for healthcare information by patients and caregivers has led to the increase in the spread of misinformation, or subjective, anecdotal and inaccurate or non-specific recommendations, which, if acted on, could cause serious harm to the patients. Hence, there is an urgent need to connect users with accurate and tailored health information in a timely manner to prevent such harm. This paper proposes an innovative approach to suggesting reliable information to participants in online communities as they move through different stages in their disease or treatment. We hypothesize that patients with similar histories of disease progression or course of treatment would have similar information needs at comparable stages. Specifically, we pose the problem of predicting topic tags or keywords that describe the future information needs of users based on their profiles, traces of their online interactions within the community (past posts, replies) and the profiles and traces of online interactions of other users with similar profiles and similar traces of past interaction with the target users. The result is a variant of the collaborative information filtering or recommendation system tailored to the needs of users of online health communities. We report results of our experiments on an expert curated data set which demonstrate the superiority of the proposed approach over the state of the art baselines with respect to accurate and timely prediction of topic tags (and hence information sources of interest).Comment: Healthcare Informatics and NL

Thyroid Dysfunction and Vitamin D Deficiency among Females of Punjab, Pakistan; A Cross Sectional Analysis

Background: Thyroid gland is an important gland which plays a vital role in the stimulation of normal growth and central nervous system (CNS), metabolism regulation, elevated vitamin requirements, metabolism of phosphorus and calcium, promote sexual metabolism, increases mitochondrial metabolism, stimulates the adrenergic activity with myocardial contractility and increase heart rate. In this era, one of the important health issues is vitamin D and calcium deficiency. A large number of populations in all over world are vitamin D or calcium deficient or insufficient. The objective of this study was to evaluate the prevalence of thyroid dysfunction and vitamin D deficiency in females.Methods: A cross sectional study was designed to check the prevalence of thyroid disease and its correlation with vitamin D levels in females. Venous blood was drawn from the female’s patients (11—80 years of age) using gel disposable vials (3.5 ml) in aseptic condition. Samples were centrifuged at four thousand revolutions per minute for five minutes and serums were separated. After the separation of serum, the samples were transferred to the laboratory for the automated estimation of Thyroid Stimulating Hormone (TSH), Triiodothyronine (T3), Thyroxine and Vitamin D.Results: It was observed that out of 79 females who had gone through thyroid profile testing, 70% females had normal thyroid profile. However, hypothyroidism was found in 23% females and 7% females had the condition of hyperthyroidism. Out of 18 (23%) reported cases of hypothyroidism, 8 cases were of mild (subclinical) hypothyroidism, 3 cases indicated non-thyroidal illness; rare pituitary hypothyroidism. Out of 79 female participants, only 20 (25.31%) females had normal serum vitamin D levels. Overall, 59 (74.68%) females had vitamin D deficiency. When the vitamin D deficiency was correlated with thyroid dysfunction, it was observed that vitamin D levels were non-significantly (p = 0.35) associated with hypothyroidism.Conclusion: Hypothyroidism was found prevalent in the tested female population, as 23% of the tested population had hypothyroidism while 9% of them have hyperthyroidism. Moreover, majority of the population had vitamin D deficiency.Keywords: Thyroid Dysfunction; Vitamin D Deficiency; Females

Novel Carboxylic Acid-Capped Silver Nanoparticles as Antimicrobial and Colorimetric Sensing Agents

The present work reports the synthesis, characterization, and antimicrobial activities of adipic acid-capped silver nanoparticles (AgNPs@AA) and their utilization for selective detection of Hg2+ ions in an aqueous solution. The AgNPs were synthesized by the reduction of Ag+ ions with NaBH4 followed by capping with adipic acid. Characterization of as-synthesized AgNPs@AA was carried out by different techniques, including UV–Visible spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy (SEM), X-ray diffraction (XRD), Dynamic Light Scattering (DLS), and zeta potential (ZP). In the UV–Vis absorption spectrum, the characteristic absorption band for AgNPs was observed at 404 nm. The hydrodynamic size of as-synthesized AgNPs was found to be 30 ± 5.0 nm. ZP values (−35.5 ± 2.4 mV) showed that NPs possessed a negative charge due to carboxylate ions and were electrostatically stabilized. The AgNPs show potential antimicrobial activity against clinically isolated pathogens. These AgNPs were found to be selectively interacting with Hg2+ in an aqueous solution at various concentrations. A calibration curve was constructed by plotting concentration as abscissa and absorbance ratio (AControl − AHg/AControl) as ordinate. The linear range and limit of detection (LOD) of Hg2+ were 0.6–1.6 μM and 0.12 μM, respectively. A rapid response time of 4 min was found for the detection of Hg2+ by the nano-probe. The effect of pH and temperature on the detection of Hg2+ was also investigated. The nano-probe was successfully applied for the detection of Hg2+ from tap and river wate