Diabetes Prediction Using Machine Learning

Diabetes has developed as one the riskiest danger to the human world. Many are turning into its casualties and can't emerge from it paying little heed to the way that they are attempting to stay away from it for becoming further. Distributed computing and Internet of Things (IoT) are two devices that assume a vital part in the present life with respect to numerous perspectives and purposes including medical care checking of patients and older society. Diabetes Medical care Checking Administrations are vital these days on the grounds that and that too far off medical care checking in light of the fact that actually going to emergency clinics and remaining in a line is exceptionally incapable rendition of patient observing. On the off chance that a patient has exceptionally constant diabetes and he spends his/her time remaining in a line anything perilous can happen to him/her at any occasion of time. Thus, this paper concocted shrewd sensors and distinctive machine learning calculations like xgboost calculation, arbitrary woods. Diabetes can likewise go about as a implies for different infections like coronary failure, kidney harm and fairly visual impairment. This paper can utilize different AI calculations, for example, support vector machine, straight relapse, choice tree, xgboost and arbitrary woods with the assistance of which can without much of a stretch discover the all-out effectiveness and precision of foreseeing that a human will experience the ill effects of diabetes or not. There are differently numerous customary strategies which are entirely unexpected from programming techniques that can analyse diabetes and anticipate pre states of diabetic patients. Diabetics is caused because of a tremendous uphill in the blood divide containing glucose. There is an advancement plot accessible using train test split and K overlap cross approval utilizing Sklit learn strategy.

IMPROVING STUDENTS’ READING COMPREHENSION THROUGH KWL (KNOW, WANT TO KNOW, LEARN) STRATEGY

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>This article is a report of a classroom action research that aimed at finding out how KWL strategy could be implemented effectively in improving the </span><span>students’ </span><span>reading comprehension, to what extent KWL strategy could improve </span><span>the students’ reading comprehension, and how the classroom situation was when </span><span>KWL strategy was implemented in the reading class. The classroom action research was conducted in two cycles. Each cycle comprised planning, acting, observing and reflecting. The qualitative data were collected through observations, questionnaires, and interviews while the quantitative data were obtained through tests. Some findings are obtained in this research. The first finding is that KWL strategy could be implemented effectively because of the </span><span>students’ ability to use their prior knowledge </span><span>and activate their critical thinking to predict the text, all of which caused them to have better performance in comprehending the text. An effective way of implementing KWL strategy could be developed and applied due to a) a clear explanation of KWL steps to the students, b) the use of new and familiar topics, c) the use of visual representations of the assigned text, d) the use of group discussions and individual activities, and </span><span>e) the teacher’s guidance during the teaching and learning process. </span><span>The second finding is that </span><span>the strategy could improve the students’ reading comprehension in </span><span>their skills of finding main ideas, explicit information, implicit information, and word references, and understanding word meanings based on the context. The third finding is that the strategy promoted a better classroom situation.</span></p></div></div></div>

Starting Early: A Revised Early Literacy Strategy

In 2014, Waterloo Public Library (WPL) in Ontario, Canada, threw out the playbook for how early literacy was done and created the award-winning Explore, Play, Learn strategy based on Every Child Ready to Read 2 (ECRR2). This resulted in dramatically increased program participation, noteworthy circulation results, and measurable customer satisfaction with feedback that demonstrates impact.

THE IMPLEMENTATION OF KNOW-WANT-LEARN (K-W-L) STRATEGY IN TEACHING READING AT ELEVENTH GRADE OF SMA NEGERI 3 SINGARAJA

This study aimed at describing the implementation of K-W-L (Know-Want-Learn) strategy used by one of the English teachers in SMA Negeri 3, Singaraja. In this study, the subjects of the study were the students of SMA Negeri 3 Singaraja especially the eleventh grade and an English teacher. The present study employed qualitative design. The methods of data collection were classroom observation and questionnaire. The findings showed that there were 3 stages of the implementation of K-W-L (Know-Want-Learn) strategy namely pre-teaching, whilst-teaching and post-teaching. The result of the questionnaire, it means about the brilliant alternative strategy used by teacher, because KWL (Know-Want-Learn) developed some ideas about the text before reading the whole text and focus to find the important points of the text. Before the student starts to read the text, they need to use their prior knowledge and continue to set their want or interest of the text.