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Recent Survey finds out Indians Prefer Traveling in Rainy Season

The survey was an extensive questionnaire that shows that there has been a changing pattern

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Indians prefer traveling in rainy season. Wikimedia
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  • Yatra is a famous online travel portal in India
  • A survey was conducted recently by the travel portal in which more than 1500 people participated from across India
  • The survey shows that Indians favor traveling in the Monsoon seasons

August 20, 2017: India’s famous online travel portal Yatra had recently conducted a survey which received 1500 responded from different parts of the country.

The survey was an extensive questionnaire that shows that there has been a changing pattern. The rainy season, which was once an obstruction, is now the favored season for traveling according to many Indians.

47.2% of the responses favored one to five days of getaway, when it comes to the duration of the travel. Close enough, 45.2% were alright with 5-15 days. But longer holidays of more than 15 days was preferred by only 6.9% of the respondents. Thus, short plans are most suited for the Indians.

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When it comes to the most popular destinations for travel, Munnar, Goa, the northeast states and Andaman islands were top spots. While 47.1% of the responses wished hill stations as their favored spot, 31.4% wanted the beach to be included in their plans. 72.8% of the people want to travel within India.

But it is the luxury segment of travel that has taken a back seat, partly due to the GST hikes in various places. 18% of the responses would have the budget of about Rs. 50,000 while 17% would want to spend less than Rs. 10,000.

A hotel accommodation worth Rs. 2,500-5,000 was most preferred by 43.5% where as 12.3% considered rooms between Rs. 5,000-7,500.

Finally, it was also noted that paying out the travel expenses through credit cards was favored by 62.2% of the responses in contrast to 16.7% who use debit cards and 9.6% who would turn to cash.

– Prepared by Saksham Narula of NewsGram. Twitter @Saksham2394


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New AI Model to Identify the Risk of Heart Disease in Indians

Besides Apollo, Microsoft is also planning to extend the AI model to other healthcare providers

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Heart Disease
Concern has often focused on the toxicity or carcinogenic properties of the metals, particularly at high doses. Pixabay

In a novel effort to predict the risk of cardiovascular disease (CVD) among the Indian population, Microsoft India and Apollo Hospitals on Friday launched the first-ever Artificial Intelligence (AI)-powered heart disease risk score API (application programme interface).

Part of Microsoft’s “AI Network for Healthcare” initiative, it will help doctors across the Apollo network of hospitals leverage the AI-powered API to predict risk of CVD and drive preventive cardiac care across the country.

Nearly three million heart attacks happen in India every year and 30 million Indians suffer from coronary diseases. However, even with various heart disease risk models available worldwide, doctors and cardiologists are unable to identify the probability of CVD in Indians.

“The AI-based models available worldwide were formed decades ago and are based on the western population. Our new API score is based on the data of 4,000 Indians shared by Apollo Hospitals and can easily identify the level of risk each patient has,” Anil Bhansali, Managing Director, Microsoft India (R&D), told IANS.

“We come in as a technology partner or expert in the AI domain, where we collaborate with healthcare providers and doctors to integrate data to help build the AI model,” Bhansali added.

Built on Microsoft’s Cloud computing platform Azure, the new AI-based heart risk score helps gauge a patient’s risk for heart disease and provides rich insights to doctors on treatment plans and early diagnosis.

The API score considers 21 risk factors including lifestyle attributes such as diet, tobacco and smoking preferences and physical activity as well as psychological stress and anxiety as reflected via rate of respiration, hypertension and systolic and diastolic blood pressure.

“The score categorises risk into high, moderate and minimal and also provides insights on the top modifiable risk contributors, thereby assisting physicians to consult patients in a more holistic way, while providing insights to patients for lifestyle modification and timely interventions,” Bhansali elaborated.

heart disease
Representational image. (IANS)

When a patient goes for a cardio health check, the doctor can build up a more accurate cardio-vascular health profile of the patient based on Machine Learning (ML) of all their previous patient data.

AI can, in turn, predict future coronary ailments the patient might experience in the next 10 to 20 years based on these multiple factors.

“This heart risk score for Indian populace is a true example of how precision healthcare can accelerate prevention of cardio-vascular disease and reduce disease burden,” Bhansali noted.

According to Sangita Reddy, Joint Managing Director, Apollo Hospitals, the partnership is aimed at designing new tools and equip doctors in the fight against non-communicable diseases.

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“The amalgamation of AI and ML with the global expertise of our doctors will help prevent heart disease, save lives and ensure those with heart disease can make informed choices on their health,” Reddy said in a statement.

Besides Apollo, Microsoft is also planning to extend the AI model to other healthcare providers.

“While we are currently working with Apollo, we are also in the process of identifying partners where we can actually try this API score,” Bhansali told IANS.

“In the last couple of years we have been working on how Cloud technology, particularly AI, can help in reducing the overall disease burden. Our first step towards this, as part of the healthcare partnership, is developing the cardiac risk score for Indian population,” Bhansali added. (IANS)