• Advait Srinivas
• Akshay Solunke
• Pranjal Naik
• Umesh Kulkarni

the proposed system is a predictive analysis tool for medical diagnosis using machine learning for chest conditions like Asthma, COPD, and Tuberculosis. All participants will have a questionnaire (self-administered / physician-administered). Positive and negative predictive values calculated for each question and the total scores of patients compared with those of control. This tool will enable doctors with data to make better and early differentiated diagnosis minimizing the errors and timely treatment.

Chest Diseases; Tuberculosis; Asthma; COPD; Symptom-Based Questionnaire; Decision Trees; Linear Regression;

"Proposed Model for Predictive Diagnosis of Chest Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.114-117, May 2019, Available :http://www.jetir.org/papers/JETIRCS06028.pdf

"Proposed Model for Predictive Diagnosis of Chest Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp114-117, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06028.pdf