Issue: Annually, approximately 2.2 million cases of lung cancer are diagnosed worldwide, ranking second in global cancer incidence after breast cancer. An effective cancer prediction system enables individuals to assess their cancer risk affordably, empowering informed decision-making based on their risk status.
Objective: Develop a solution capable of analyzing and forecasting risk factors associated with the development of lung cancer, thereby mitigating the emergence of the disease within vulnerable populations.
Product Offering: We've introduced a solution adept at categorizing pivotal risk factors directly influencing the development of lung cancer. Our machine learning model incorporates various factors including smoking, anxiety, chronic diseases, allergies, wheezing, fatigue, alcohol consumption, coughing, shortness of breath, swallowing difficulty, chest pain, among others.
Solution: Findings indicate that lung cancer typically manifests between the ages of 56 and 64 for both genders, irrespective of sex. Individuals who engage in smoking and alcohol consumption exhibit a heightened propensity for lung cancer. Moreover, the condition is more prevalent among those with chronic illnesses and persistent mental health challenges such as anxiety, depression, and fatigue.
Market Advantage: Our model boasts an accuracy exceeding 90%, effectively identifying factors predisposing individuals to cancer development. This offers a significant advantage in the market, enabling proactive measures for cancer prevention and management.
Objective: Develop a solution capable of analyzing and forecasting risk factors associated with the development of lung cancer, thereby mitigating the emergence of the disease within vulnerable populations.
Product Offering: We've introduced a solution adept at categorizing pivotal risk factors directly influencing the development of lung cancer. Our machine learning model incorporates various factors including smoking, anxiety, chronic diseases, allergies, wheezing, fatigue, alcohol consumption, coughing, shortness of breath, swallowing difficulty, chest pain, among others.
Solution: Findings indicate that lung cancer typically manifests between the ages of 56 and 64 for both genders, irrespective of sex. Individuals who engage in smoking and alcohol consumption exhibit a heightened propensity for lung cancer. Moreover, the condition is more prevalent among those with chronic illnesses and persistent mental health challenges such as anxiety, depression, and fatigue.
Market Advantage: Our model boasts an accuracy exceeding 90%, effectively identifying factors predisposing individuals to cancer development. This offers a significant advantage in the market, enabling proactive measures for cancer prevention and management.