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Intelligent predictive systems are showing a greater level of accuracy and effectiveness in early detection of critical diseases like cancer and liver and lung disease. Predictive models assist medical practitioners in identifying the diseases based on symptoms and health indicators like hormones, enzymes, age, bloodcounts, etc. This study proposes a framework to use classification models to accurately detect chronic liver disease by enhancing the prediction accuracy through cutting-edge analytics techniques. The article proposes an enhanced framework on the original study by Ramana et al. It uses evaluation measures like precision and balanced accuracy to choose the most efficient classification algorithm in India and USA patient datasets using various factors like enzymes, age, etc. Using Youden's Index, individual thresholds for each model were identified to increase the power of sensitivity and specificity. A framework is proposed for highly accurate automated disease detection in the medical industry, and it helps in strategizing preventive measures for patients with liver diseases. [ABSTRACT FROM AUTHOR]

The nation’s standard of living depends on its quantum of production and use of natural resources, including coal. Coal plays a major role in the development of a country like India. India has great potential of producing coal economically. Unfortunately, even after the nationalisation of 50 years of major Indian coal mines, we still have lower productivity than other coal-producing countries. The Indian mining industry has improved productivity in the opencast sector, but unfortunately, the industry still has to improve productivity in the underground sector. The underground coal is more free from any dirt, which is more acceptable for the user. If the underground productivity of the Indian coal industry is seen, it is the lowest compared to the countries producing coal. Initially, the industry thought of using the longwall technology but could not succeed of its limitations. For the last 20 years, the underground coal mines have been experiencing continuous miner who is not very expensive (as in the case of Longwall), not requiring the major restructuring of the old structures, having good productivity and more safety in operation. This paper deals with continuous miners and their success in the bord and pillar method. [ABSTRACT FROM AUTHOR]