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Background Low-dose aspirin reduces cardiovascular risk; however, monitoring over-the-counter medication use relies on the time-consuming and costly manual review of medical records. Our objective is to validate natural language processing (NLP) of the electronic medical record (EMR) for extracting medication exposure and contraindication information. Methods The text of EMRs for 499 patients with type 2 diabetes was searched using NLP for evidence of aspirin use and its contraindications. The results were compared to a standardised manual records review. Results Of the 499 patients, 351 (70%) were using aspirin and 148 (30%) were not, according to manual review. NLP correctly identified 346 of the 351 aspirin-positive and 134 of the 148 aspirin-negative patients, indicating a sensitivity of 99% (95% CI 97_100) and specificity of 91% (95% CI 88_97). Of the 148 aspirin-negative patients, 66 (45%) had contraindications and 82 (55%) did not, according to manual review.NLP search for contraindications correctly identified 61 of the 66 patients with contraindications and 58 of the 82 patients without, yielding a sensitivity of 92% (95% CI 84_97) and a specificity of 71% (95% CI 60_80). Conclusions NLP of the EMR is accurate in ascertaining documented aspirin use and could potentially be used for epidemiological research as a source of cardiovascular risk factor information.

The survival rate of Liver tumor patients can be improved if we perform early detection and treating them. The clinical researches have exposed that the volume measurement can give the best reflection of the tumor response. The liver tumor requires the tumor segmentation. This paper proposes an automatic support system for stage classification using artificial neural network (learning machine) and to detect Liver Tumor through fuzzy clustering methods for medical application. The detection of the Liver Tumor is a challenging problem, due to the structure of the Tumor cells. This project presents a segmentation method, fuzzy clustering algorithm, for segmenting Magnetic Resonance images to detect the Liver Tumor in its early stages and to analyze anatomical structures.

Neuroregression in infants has diverse aetiologies, and vitamin B12 deficiency is a rare one. Infantile vitamin B12 deficiency is usually secondary to maternal pernicious anaemia or maternal vegetarian diet. We report a 10-month-old infant with developmental regression secondary to vitamin B12 deficiency. Her mother was a strict vegetarian and the patient was exclusively breastfed. Clinical symptoms normalised after vitamin B12 supplementation.

Hematopoietic stem cell transplantation is important in the management of several lymphoproliferative and bone marrow disorders. Graft-versus-host disease (GVHD) involves inflammatory manifestations that arise after transplant and can affect many organs. Ocular manifestations of GVHD are common, and eye care providers must understand this disease entity. The ocular surface is most commonly involved, but GVHD can affect all parts of the eye. Ocular GVHD can be relapsing and remitting, can decrease quality of life, and can be challenging to diagnose and adequately treat. The diagnostic criteria for and grading of ocular GVHD continue to evolve. This review aims to summarize current definitions, clinical findings, diagnostic criteria, and management of ocular GVHD. The care of patients with ocular GVHD requires a multidisciplinary approach.

Sarcoid-like reactions have been reported and confirmed by histopathology in patients with malignant disease. This series demonstrates the complex relationship of malignancy and sarcoidosis as pertaining to the eye, which, to the best of our knowledge, has not been previously reported in the literature.Retrospective case study of five patients with sarcoid-like reactions. Patients 1 to 4 represent patients with ocular sarcoid-like reaction and systemic malignant disease. Patient 5 had ocular malignancy and systemic sarcoid-like reaction; workup revealed renal cell cancer. For each patient, other etiologies of nonnecrotizing granulomatous inflammation were excluded.Sarcoid-like reactions have been described in the literature when nonnecrotizing granulomas occur in association with malignancy and in the absence of multiorgan involvement as seen with systemic sarcoid. In our series, sarcoid-like reactions involved the vitreous in three patients, retina in one patient, and the choroid and lung in one patient. Sarcoid-like reaction preceded the diagnosis of malignancy in two patients, was found concomitantly with malignancy in one patient, and followed malignancy in two patients. Two patients had hematologic malignancy, one patient had endometrial carcinoma, one had renal cell carcinoma, and one patient had both renal cell carcinoma and uveal melanoma. Four patients had findings of nonnecrotizing granulomas confirmed by histopathology.Sarcoid-like reactions can occur in the eye, and ocular malignancies may incite sarcoid-like reaction. Ocular sarcoid-like reactions have paraneoplastic features in that they can occur at a site distant from malignancy and may precede, occur simultaneously with, or follow malignancy.

The purpose of this article is to demonstrate the utility of the large spot size (LSS) setting using a binocular laser indirect delivery system for peripheral ablation in children. One patient with bilateral retinopathy of prematurity received photocoagulation with standard spot size burns placed adjacently to LSS burns. Using a pixel analysis program called Image J on the Retcam picture, the areas of each retinal spot size were determined in units of pixels, giving a standard spot range of 805 to 1294 pixels and LSS range of 1699 to 2311 pixels. Additionally, fluence was calculated using theoretical retinal areas produced by each spot size: the standard spot setting was 462 mJ/mm 2 and the LSS setting was 104 mJ/mm 2 . For eyes with retinopathy of prematurity, our study shows that LSS laser indirect delivery halves the number of spots required for treatment and reduces fluence by almost one-quarter, producing more uniform spots.

Alcohol addiction is an exponentially increasing dreadful disease. Alcoholic beverage is a drink that leads to greater risks of human health related problems. The consumption of alcohol is spring up as a serious issue. It makes a great difference on , both “how much you drink on any day” and “how often you have a heavy drink," The risk of developing alcoholism is not caused by a single gene, but rather numerous genes that interact with one another. Need of this paper is to reduce alcohol consumption by controlling and monitoring. Here we uses Sensors which response to a human physical stimulus and transmit a developed impulse. The interpreted data from the sensor is analyzed and used for prescribing the amount of liquor to the dipsomaniac person. The digital statistics is remotely maintained in the cloud repository. Through this alcohol sales, addiction can be controlled and avoid illegal sales. The intention of this paper is to monitor the health condition of a person.