EFFICACY OF SHUNTHI KALPA IN THE MANAGEMENT OF ATISARA

Diarrhea (Atisara) has long been recognized as an important health problem in all age groups and is a major cause of morbidity and mortality in rural communities of socio-economically backward and developing countries. According to Ayurveda Atisara means excessive flow of watery stool through anus. In the present study total 100 patients of Atisara were selected from Atisara from OPD and IPD unit of Dr. M. N. Agashe hospital, Satara. For the clinical study Shunthi Kalpa was selected as the trial drug which was given for the duration of 6 days in the dose of 2gm thrice a day. It was observed that 36% patients were from the age group 10-20 yrs, 68% were females, 56% were from lower socio economic class. Sama Jivha was found in all the patients and Jala Nimajjana Pariksha was positive in 96% patients. Among results Dravamalapravritti showed 96.36% relief, 94.44% improvement in Udarshula, 88.85% improvement in Agnimandya, 83.73% relief in Daurbalya and 78.66% improvement was seen in Aruchi.  All the symptoms showed highly significant results. 92% patients showed complete relief among which 60% were within first 3 days. Hence it can be concluded that Shunthi Kalpa is very effective remedy in the patients of Atisara having Amavastha

Study of the efficacy of Pathadi Ghanavati with Lajamanda in the management of Aamatisara

Acute Diarrhoea is an important public health problem worldwide. The World Health Organization estimates that there are more than 1000 million cases of Acute Diarrhoea. Loose motion less than 2 weeks that labelled as Acute Diarrhoea. Diarrhoea is described in Ayurvedic classics with the name of ‘Atisara’. It means passing of excessive flow of watery stool through anus. Most important factor in the pathogenesis of Aamatisara is Mandagni. In present study 50 patients of Aamatisara were selected from OPD and IPD of Kayachikitsa department. For the clinical study Pathadi Ghanavati and Lajamanda was selected as the trial drug which was given for the duration of 7 days in the dose of 1gm twice a day. It was observed that 32% patients were from the age group 51-60 years, 70% were females, 62% were from lower-middle socio economic class. Sama Jivha was found in all the patients. Among results loose motion showed 98.75% relief, 97.82% showed improvement in Udarashoola, 97.43% improvement in Agnimandya and Daurbalya each, 100% relief was seen in Aruchi. All the symptoms showed highly significant results. Hence it can be concluded that Pathadi Ghanavati and Lajamanda is very effective remedy in the patients of Aamatisara

The Kasaghna effect of Akshawaleha in the management of Rajayakshma w.s.r. to Pulmonary Tuberculosis - A Case Study

In modern era Rajayakshma can be correlated to Tuberculosis. Rajayakshma is a Madhyama Rogamarga Vyadhi manifested Shosha. Though there is a difference in the pathogenesis of Rajayakshma and Pulmonary Tuberculosis, the clinical picture of both is quite similar. It is a major public health problem in India due to the environmental changes, changes in behavioural, diet habits, poor quality of life, population explosion, under nutrition and lack of awareness about cause of disease and modern life style. Ayurveda can provide the satisfactory health service due to its comprehensive capacity of attaining all types of Pathological changes. To fulfil the applied aspect of these basic principles the symptoms of Rajayakshma have been under taken for study. Here we done a study on a patient of Rajayakshma to rule out the Kasaghna effect of Akshawaleha in the management

The effect of Gandharvahasta Sneha with Dashmula Kwatha in the management of hyperamonaemia in alcoholic liver cirrhosis w.s.r. to Dushyodara/Sannipatodara - A Case Study

A 45yrs aged male patient presenting with Udarvriddhi (abdominal distention), Kshudhamandya (decreased appetite), Dourbalya (gen. weakness), Ubhaypadshoth (bilateral pedal edema) diagnosed as Udarvyadhi (ascites) was brought to Dr. M. N. Agashe Charitable Hospital, Satara. Patient was treated with an integrated approach of ayurveda. According to Ayurveda, treatment of Udar is Nityavirechana (purgative), Agnideepan (increase appetite), Balaprapti (increase strength), Yakrituttejjak (stimulant for hepatic function and external application of Arkapattbandhan (belt made by leaves of Calotropis procera). In this study we used the Gandharvahasta Sneha with Dashmula Kwatha as purgative. Appreciable results were observed in the form of reduction in abdominal girth, decreased pedal edema, increased appetite, increased strength and significant changes in investigations

Clinical Study of Chakramardadi Pralepa in the management of Dadru Kushta

Background: Skin is the largest organ of human body. Its size and external location makes it susceptible to a wide variety of disorders. In recent years there has been increase in incidence of skin problem due to various reasons like Poverty, Poor sanitation, Unhygienic condition, Pollution etc. Dadru is one among Kushta Roga affecting all the age of population. It is Kapha-Pitta Pradhan Vyadhi and presents clinically with the features of Kandu, Raga, Pidika, Daha, Rookshata, Udgata Mandala etc. and can be correlated with Tinea infection. Management of Dadru includes Shodhana, Shaman and Bahiparimarjan Chikitsa. Chakramarda is a wild crop grows in most part of India and it is known as Ringworm plant. So here in this study Chakramadadi Pralepa was used to evaluate the efficacy in Dadru

Aspect Based Opinion Mining & Sentiment Analysis

Opinion mining is a relatively new field that refers to the practice of collecting feedback in the form of online reviews and ratings left by users on various topics. Researchers are now able to monitor the states of consciousness of individuals in real-time because to this development. Just lately, a number of research papers for sentiment analysis were implemented, each of which was based on a unique categorization and ranking procedure. However, the amount of time necessary for the newline performing class has not decreased in any way. Sentiment Sensitivity newline word list SST was provided as a solution to the problem of function mismatch in the go-domain sentiment class across the source area and the target domain; however, achieving improved accuracy and identifying distributional similarities of words became less effective as time went on. Hidden Markov’s persistent development may be seen at the beginning. Cosine In order to achieve more effective and clean pre-processing, a method that is conceptually quite similar to HM-CPCS has been devised. The HM-CPCS methodology, which has recently been suggested, makes use of the POS tagger, a variant of which is based on the Hidden Markov algorithm. Evaluations are created using data from a wide variety of different domains. Similar to a newline, the tags that come before and after it compute the possibility of transitions and the existence of the term newline among the tags in order to increase capability. This is done in order to improve capability

Dynamic Classification of Sentiments from Restaurant Reviews Using Novel Fuzzy-Encoded LSTM

User reviews on social media have sparked a surge in interest in the application of sentiment analysis to provide feedback to the government, public and commercial sectors. Sentiment analysis, spam identification, sarcasm detection and news classification are just few of the uses of text mining. For many firms, classifying reviews based on user feelings is a significant and collaborative effort. In recent years, machine learning models and handcrafted features have been used to study text classification, however they have failed to produce encouraging results for short text categorization. Deep neural network based Long Short-Term Memory (LSTM) and Fuzzy logic model with incremental learning is suggested in this paper. On the basis of F1-score, accuracy, precision and recall, suggested model was tested on a large dataset of hotel reviews. This study is a categorization analysis of hotel review feelings provided by hotel customers. When word embedding is paired with LSTM, findings show that the suggested model outperforms current best-practice methods, with an accuracy 81.04%, precision 77.81%, recall 80.63% and F1-score 75.44%. The efficiency of the proposed model on any sort of review categorization job is demonstrated by these encouraging findings

Forecasting The Ocean Wave Heights Using Linear Genetic Programming

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

ASSESSMENT AND UTILIZATION OF DRUG INFORMATION SERVICES AND CREATING AWARENESS FOR ENHANCED UTILIZATION OF DRUG INFORMATION CENTRE IN A TERTIARY CARE TEACHING HOSPITAL

Objective: To assess the utilization of drug information services and create awareness for enhanced utilization of drug information centre in the hospital.Methodology: A retro-prospective observational study conducted from September 2015 to February 2016. The data obtained from DI request, documentation and feedback forms are analyzed for the parameters such as professional status of enquirer, mode of receipt of query, purpose of enquiry, time frame to reply and references used. Awareness about drug information services was created in the hospital by circulating brochures and interacting with healthcare professionals.Result: A total of 943 queries were retrospectively analysed. Most of the queries obtained from PG/intern (50.27%), during ward rounds (57.48%) and asked for updating knowledge (76.35%). Frequently asked questions were about indications of drugs (18.60%). Mostly answers given as printed (66.70%), replied within a day (46.45%) by using Micromedex (54.72%). Majority of the enquirers rated the DI services as good (54.93%).A total of 394 queries were prospectively analysed. Most of the queries obtained from physicians (42.23%), during ward rounds (59.89%) and asked for updating knowledge (49.49%). Frequently asked questions were about ADRs (21.28%). The mode of reply for the queries given mostly in printed format (41.14%), replied within 2-4hrs (33.75%) by using Micromedex (40.56%). Majority of the enquirers rated the DI services as good (46.98%).Conclusion: The drug information services provided were useful to various healthcare professionals to maintain rational drug therapy by giving unbiased and well-reviewed information. Â

TO IDENTIFY, EVALUATE, AND ANALYZE THE POSSIBLE DRUG-DRUG INTERACTIONS IN PATIENTS DIAGNOSED AS TYPE 2 DIABETES MELLITUS WITH HYPERTENSION IN A TERTIARY CARE TEACHING HOSPITAL

Objective: To identify, evaluate, and analyze the possible drug-drug interactions (DDIs) in patients diagnosed as Type 2 diabetes mellitus withhypertension in a tertiary care teaching hospital Davangere.Methods: This prospective interventional study was conducted for a period of 6 months. Data were collected from patients who were prescribed withat least one antidiabetic drug and at least one antihypertensive drug at the same time. Data were analyzed for DDIs by using software Micromedex andother resources. Results were notified to the physicians for modification or alteration in the drug therapy.Results: A total of 150 patients were analyzed out of which, 60.67% were male, and the rest 39.33% were female. In terms of interactions present,95 (63.33%) prescriptions had one or more interactions. Antihypertensive drugs most frequently seen in prescriptions were diuretics (24.44%). Antidiabeticdrugs seen frequently prescribed are biguanides (34.36%). A total of 167 possible DDIs were obtained. Angiotensin-converting enzyme inhibitors weremost frequently involved antihypertensive drug in DDIs, with 60 of all possible DDIs identified. Insulin and biguanides were most frequently involvedantidiabetic drugs in DDIs, with 58 each of all possible DDIs identified. Most frequently interacting drug pair was insulin + metformin (n=19).Conclusion: For every possible DDIs found in the prescription, the appropriate intervention was advised from the investigator's part as well asprovision for a physician to review and initiate modification of his choice.Keywords: Hypertension, Possible drug-drug interaction, Type 2 diabetes mellitus.Â