A Survey on Using Machine Learning to Predict Diabetes Early on

Diabetes is a category of metabolic disease caused by a prolonged high blood sugar level. It is sometimes referred to as a chronic disease. If accurate early prediction is achievable, it can considerably lower the risk factor and severity of diabetes. Combining data mining methods with machine learning, a subsection of artificial intelligence, offers promise in the field of prediction. Data is widely available in the healthcare industry, and in order to improve prognosis, diagnosis, therapy, medication development, and healthcare in general, information must be extracted from it. Based on the World Health Organisation's 2014 report, diabetes is a type of chronic disease with the fastest global growth rates. To illustrate the widely used techniques for early diabetes detection—which are based on cutting-edge technologies including machine learning, cloud computing, etc.—we have reviewed a few significant pieces of literature in this study. The findings suggested that artificial intelligence-based methods are more effective in the early detection of diabetes in patients. Here, we used the Random Forest model to conduct an experiment using a diabetes dataset. First, the dataset is resampled and then used to train and test the Random Forest model. On all performance criteria, the Random Forest attained values above 96%

Solubility enhancement of biperidine HCl by complexation with hydroxypropyl β-cyclodextrin

Oral route is the simplest and easiest way of drug administration, because of the greater stability, lesser bulk, and cheap cost of production, accurate dosage and easy process, solid oral dosage forms have several advantages over other dosage forms. All the poor water soluble drugs after oral administrations are not well absorbed and thus leads to decrease in inherent efficiency of drugs. Therefore, for oral drug delivery system the improvement of drug solubility thereby its oral bio-availability is the most important aspect of drug development process. Biperiden HCl is a potent drug (Maximum daily dose is 16mg/day), having extensive first pass metabolism resulting in poor Bioavailability. The pharmacokinetic profile of this drug showed 33±5 % Bioavailability and 18-24 hours elimination half-life (t1/2). In the present study attempt has been made to prepare and characterize inclusion complex of Biperiden HCl with Hydroxypropyl β-Cyclodextrin. The inclusion complexes prepared by different methods i.e. Physical mixture, Kneading and Solvent evaporation methods. The prepared complexes were characterized using FT-IR. The inclusion complex prepared by Kneading method exhibited greatest enhancing in solubility and faster dissolution (93.98% drug release in 60 min) of Biperiden HCl

EMERGING NEED OF PHARMACOKINETICS IN DEMYSTIFICATION OF HERBO-MINERAL COMPOUNDS

Ayurveda has its own way of processing herbal, mineral, metallic and animal origin materials to prepare therapeutic dosage forms. Pharmacology is the science of drugs including their origin, composition, pharmacokinetics, therapeutic use, and toxicology.  Pharmacology is the base of research and development in all medical sciences which utilizes natural or synthetic materials for therapeutic purposes and such materials as known as medicines. Importance of Pharmacokinetics in Ayurveda: It is evident that understanding of pharmacokinetic characteristic especially bioavailability of Ayurveda drug compounds is needed while planning as well as interpreting the result of experimental/clinical studies. Challenges to Herbo-mineral compounds: Several experiments as well as clinical researches regarding safety profile of Rasoushadhi have been conducted at various Ayurveda institutes at graduate and post graduate level, however these researches have not attracted the attention on global platform. Conclusion: Pharmacokinetic studies will be helpful in discovery of Ayurveda drug action, organ involved, safety studies, dose determination, ADME of AYUSH medicines, information of bioavailability, mode of action, identifing differences in Ayurveda drugs having similar chemical composition

Health Literacy: Addressing Well-Being: A Review

Literacy forms an important input in overall development of individual enabling them to comprehend their social, political and cultural environment better and respond to it. Health literacy requires knowledge of health topics. People with limited health literacy often lack knowledge or have misinformation about the body as well as the nature and causes of disease. Without this knowledge, they may not understand the relationship between lifestyle factors such as diet and exercise and various health outcomes. Health literacy plays a key role on the overall health and wellbeing and is now recognized as a determinant of health and has been made a priority of public health agendas, as there is existence of clear scientific evidence regarding its association with health outcomes such as use of health care services, hospitalizations, mortality rates, and adherence to treatment regimens. Therefore, responsive health system that eliminates barriers to clear communication and provides usable and actionable health information and services is important to uplift the current situation

How Good Are Popular Matchings?

In this paper, we consider the Hospital Residents problem (HR) and the Hospital Residents problem with Lower Quotas (HRLQ). In this model with two sided preferences, stability is a well accepted notion of optimality. However, in the presence of lower quotas, a stable and feasible matching need not exist. For the HRLQ problem, our goal therefore is to output a good feasible matching assuming that a feasible matching exists. Computing matchings with minimum number of blocking pairs (Min-BP) and minimum number of blocking residents (Min-BR) are known to be NP-Complete. The only approximation algorithms for these problems work under severe restrictions on the preference lists. We present an algorithm which circumvents this restriction and computes a popular matching in the HRLQ instance. We show that on data-sets generated using various generators, our algorithm performs very well in terms of blocking pairs and blocking residents. Yokoi [Yokoi, 2017] recently studied envy-free matchings for the HRLQ problem. We propose a simple modification to Yokoi\u27s algorithm to output a maximal envy-free matching. We observe that popular matchings outperform envy-free matchings on several parameters of practical importance, like size, number of blocking pairs, number of blocking residents. In the absence of lower quotas, that is, in the Hospital Residents (HR) problem, stable matchings are guaranteed to exist. Even in this case, we show that popularity is a practical alternative to stability. For instance, on synthetic data-sets generated using a particular model, as well as on real world data-sets, a popular matching is on an average 8-10% larger in size, matches more number of residents to their top-choice, and more residents prefer the popular matching as compared to a stable matching. Our comprehensive study reveals the practical appeal of popular matchings for the HR and HRLQ problems. To the best of our knowledge, this is the first study on the empirical evaluation of popular matchings in this setting

Type A4 truncus arteriosus: series of 3 cases focused on dual source multidetector CT angiogram findings

Truncus arteriosus (TA) is a rare congenital cardiac anomaly caused by failure of normal conotruncal septation during the fetal development. This aberration leads to a common ventricular outflow artery over the malaligned large ventricular septal defect (VSD), supplying systemic, coronary and pulmonary circulation. People with such anomalous anatomy show variable presentation from early childhood to adult life depending on the severity of defects. We here present three cases of truncus arteriosus with aortic interruption / hypoplasia-coarctation (type A4 truncus arteriosus) with focus on relevant dual source MDCTA findings

Dentigerous Cyst containing a Supernumerary Tooth below Floor of Maxillary Sinus

Dentigerous cyst is considered to be a developmental odontogenic cyst that surrounds the crown of impacted, unerupted or supernumerary teeth. This case report presents adentigerous cyst associated with a supplemental supernumerary tooth in right anterior maxillary region. Enucleation of the pathology along with the impacted supernumerary tooth wasdone. The patient has remained asymptomatic since 6 months and there is no evidence of recurrence

Sphingobacterium multivorum causing fatal meningoencephalitis: a rare case report

We report a case of fatal meningitis caused by bacteria, Sphingobacterium multivorum, probably first time being reported from India. S. mulivorum has been isolated from various clinical specimens but it is only rarely been associated with serious infections. Sphingobacterium species are generally resistant to aminoglycosides and polymyxin B. Susceptibility to β-lactam antibiotics is variable, requiring testing for individual drug. This 36 year male had two weeks history of high-grade fever with altered sensorium and occasional seizures. Patient admitted with septicemia and subsequently developed meningitis and succumbed to his illness after being discharged against medical advice. His CSF culture yielded S. multivorum subsequently confirmed by mini API, bioMérieux Inc. Marcy-l’Etoile France. Due to its rare association with common clinical conditions, it requires a high degree of suspicion and expertise to prove its presence in clinical specimens. Since this bacterium is inherently resistant to many classes of antibiotics, a vigilant and efficient microbiological work up is needed to establish its diagnosis and prompt treatment

Comparison of BACTEC MGIT with conventional methods for detection of Mycobacteria in clinically suspected patients of extra pulmonary tuberculosis in a tertiary care hospital

Background: Tuberculosis is an important public health problem in India and globally.  Extra pulmonary tuberculosis (EPTB) constitutes for approximately 15 to 20 per cent of all cases of tuberculosis in immunocompetent patients and accounts for more than 50 per cent of the cases in HIV- positive individuals. Main problem with the extra-pulmonary tuberculosis is the paucibacillary nature of the specimen, which makes the diagnosis difficult and delay the treatment. With this in background, this study aimed at the isolation of Mycobacteria from clinical specimens of patients suspected of extra pulmonary tuberculosis using BACTEC MGIT, Lowenstein Jensen (LJ) media and direct acid-fast bacilli smear examination.Methods: A total of 66 samples were processed for direct AFB smear examination, and culture on MGIT and LJ media. Acid fast staining of the specimens was done using the Ziehl-Neelsen method.Results: Among 66 specimens, MGIT gave a higher yield of mycobacteria (46.9%), lower contamination rate (3%) and shorter time to positive culture as compared to LJ media.Conclusions: MGIT gives higher yield and faster results