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The Importance of Machine Learning for Data Scientists

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3 minutes, 7 seconds read

The concept of Machine Learning, Artificial Intelligence (AI), Big Data has been around for a while. But the ability to apply algorithms and mathematical calculations to big data is gathering momentum only recently.     

In this article we will discuss the importance of Machine Learning and why every Data Scientist must master it.

What is Machine Learning?

Simply put, we’re contributing to Machine Learning through our day to day interactions on the internet. Whether you search your coffee maker on Amazon, “top tips to lose weight” In Google, or “friends” in Facebook you see Machine Learning in action, but you don’t realize it.

It is the Machine Learning technology that lets Google, Amazon, and Facebook search engine offer relevant recommendations to the user.

These companies are able to keep tabs on your day to day activity, search behavior and shopping preference with the help of ML technology.

Machine Learning is also one of the main components of Artificial Intelligence.

Who is a Data Scientist?

Before assessing the importance of Machine Learning for Data Scientists, here’s a brief note on who Data Scientists are. We’ll also discuss how one can become a Data Scientist.

Data Scientists draw meaningful information from a huge volume of data. They identify patterns and help build tools like AI-powered chatbots, CRMs, etc. to automate certain processes in a company.

With a sound knowledge of different Machine Learning techniques and contemporary technologies like Python, SAS, R, and SQL/NoSQL database, Data Scientists perform in-depth statistical analysis.

The role of Data Scientist might sound like that of Data Analyst, but, in fact, they are different.

Difference between a Data Scientist and a Data Analyst

  • Data scientist predicts future based on past patterns. Whereas, a Data Analyst curates meaningful insights from data.
  • Data scientist’s work involves “estimation” (or prediction) unknown facts; while an analyst investigates the known facts.
  • Data Analyst’s job is more geared towards businesses. Data Scientists’ work is integral to innovations and technological advances.

Why Machine Learning is So Important for a Data Scientist?

In a near future, process automation will superimpose most of the human-work in manufacturing. To match human capabilities, devices need to be intelligent and Machine Learning is at the core of AI.

Data Scientists must understand Machine Learning for quality predictions and estimations. This can help machines to take right decisions and smarter actions in real time with zero human intervention.

Machine Learning is transforming how data mining and interpretation work. It has replaced traditional statistical techniques with the more accurate automatic sets of generic methods. 

Hence it is imperative for Data Scientists to acquire skills at Machine Learning.

4 Must Have Skills Required to Become a Machine Learning Expert

To become an expert at Machine Learning every Data Scientists must have the following 4 skills.

  1. Thorough knowledge and expertise in computer fundamentals. For example, computer organization, system architecture and layers, and application software.
  2. Knowledge of probability is very important because Data Scientists’ work involves a lot of estimation. Analyzing statistics is another area that they need to focus on.
  3. Data modeling for analyzing various data objects and how they interact with each other.
  4. Programming skills and a sound knowledge of programming languages like python and R. A quest for learning new database languages like NoSQL apart from traditional SQL and Oracle.

Conclusion

Data is the new oil.

IBM predicts that the global demand for Data Scientists will rise 28% by 2020. Finance, Insurance, Professional services and IT sectors will cover 59% of the Data Science and Analytics job demand.

In the coming future, Machine Learning is going to be one of the best solutions to analyze high volumes of data. Therefore, Data Scientists must acquire an in-depth knowledge of Machine Learning to boost their productivity.   

This article is contributed to Mantra Labs by Jenny Hayat. Jenny is an established blogger and content writer for business, career, education, investment, money-making ideas and more.

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Virtual health: Delivering care through technology

8 minutes, 52 seconds read

Virtual Care, Telehealth, Telemedicine, etc. are terms used very synonymously. Indeed they are interrelated, however, Virtual Care is a broader term in which healthcare providers use digital tools to communicate and deliver care to their patients. Telehealth and Telemedicine are a part of Virtual Care where doctors deliver care to their patients, remotely via phone, video, or instant messaging. Virtual health includes care delivery beyond video consultation where hospitals provide services using technology such as wearables for remote monitoring, instruments for post-op care and second opinions, e-pharma services, and medical information, etc. 

The outbreak of the COVID-19 pandemic gave an impetus to Virtual Care, but even in the Pre-COVID time, the Healthcare sector was slowly gearing up for this next wave in care delivery. What COVID-19 did was, help patients get acclimatized to the digital health tools and services. 

What does Virtual Health help with?

The pandemic has brought the burning issues of the healthcare sector to center stage. Patient experience and access to healthcare services are key differentiators for people while choosing a healthcare provider. Let’s take a look at some of these issues addressed by technology in the healthcare sector-

The increasing number of patients

Apart from the pandemic, there’s already been a rise in the number of patients due to drastic changes in lifestyle and food habits, an increase in pollution levels, increase in new types of viruses, etc. This has caused undue stress on healthcare institutions and workers and has led to the deterioration of the quality of patient care. Virtual Health technology such as mHealth apps, EHR (Electronic Health Record), video conferencing, etc. has helped reduce the pressure on hospitals.

Difficulty in traveling for old patients

The pace of life is increasing at a rapid rate. It is getting insanely difficult for the elder population to navigate through the traffic and commute long distances for a check-up. Many times, they have to depend on their family members to take them to hospitals. Moreover, they are at risk of exposure to viruses in hospitals and clinics. Now that they have had the experience of virtual consultations, they prefer care delivery at home rather than going to hospitals.

Chronic Diseases treatment

The number of people above the age of 45 face health issues. Some patients are suffering from chronic diseases regardless of age. Regular monitoring of their vitals is very important. Moreover people now prefer Virtual healthcare services which are easily accessible and save a lot of time, effort, and money. Now that people have found these services effective, they will opt for online consults rather than frequent in-person visits. 

Post-op Care

The duration of post-operative care is quite long and tedious. If given a choice, people will lean towards wearables which will help keep doctors posted on the status of the treatment. Many times, the cost of post-op care is more than the actual treatment and sometimes is not covered under insurance. Virtual care-delivery services will help reduce the financial burden of people going through these treatments.

Follow-ups/Second opinion  

Some health conditions need multiple follow-ups and second opinions to figure out the right approach to treat the issue. It is much easier for patients to do follow-up consults virtually rather than going through the tedious process of appointment booking, commuting, and waiting for their turn. It helps reduce the queue outside the doctor’s office as well. Some health issues need a second opinion, sometimes both by patients and doctors. Virtual Healthcare technologies make it possible for them to take second opinions from doctors all over the world. With electronic records and image sharing, doctors can diagnose the problem better.

What does Virtual Health include?

Virtual Health can be broadly divided into below applications-

mHealth Applications

mHealth applications have widespread use. From symptom checkers to appointment booking, from fitness trackers to uploading medical records, from video conferencing features to chatbot integrations, mHealth apps are on a rise mainly because of easy accessibility for the tech-savvy customers. According to a study by NCBI, among the 22 selected mHealth apps operating in India, Practo, mfine, DocsApp, 1mg, Netmeds, Lybrate, MediBuddy, and Medlife were found to be the eight most popular ones with over a million downloads and on average four-plus user rating out of five. All the above apps are mainly being used for online consults. This just goes about showing that people prefer having homecare services instead of stepping out. 

E-Triage Tools

The rising number of patients with different stages of COVID symptoms was a task to deal with. E-triage software here enables hospitals to triage patients into different sections when there’s an overload of patients at a particular time. Now, in the case of home care, e-triage tools help patients to access the gravity of their health condition and notify the healthcare provider accordingly. Such tools help reduce A&E waiting time and improve NHS performance. Many companies are building healthcare software integrating the E-triage module within EHR, telemedicine, clinical decision making, billing, etc. In India, Persistent Systems’ cutting edge platform has a Nurse Triage system that enables nurses to see the queue of patients and triage via phone calls. Once the calls are done, a triage report is generated and sent to care providers. Many leading doctors feel that AI in image triage will see a boost in near future.

Remote Patient Monitoring 

There are multiple benefits such as reduced post-op expenditure, time wastage, less exposure to other diseases, etc. The global remote patient monitoring devices market is expected to expand at a CAGR of 7.1% during the forecast period (2019–2027) according to Coherent Market Insights. Some of the top players in this space are Biotronik, Boston Scientific Corporation, CAS Medical Systems, CONTEC MEDICAL, Dragerwerk, GE Healthcare, Guangdong Biolight Meditech, Medtronic, Mindray Medical, Nihon Kohden, Philips Healthcare, Spacelabs Healthcare, Abbott. Companies such as GE Healthcare and Philips Healthcare have done a great job with building remote patient monitoring systems within the hospital premises as well as homecare for COVID patients. The main goal was to reduce the exposure of healthcare workers to at-risk patients. 

Synchronous and Asynchronous Telehealth

Synchronous telehealth, in other words, Telemedicine is where there is a live conversation between the patient and the doctor. Asynchronous telehealth involves the exchange of recorded data e.g. images, video, medical reports, pathology reports between patients and doctors, at times between doctors as well. Similar to mHealth space, companies like Practo, 1mg, Lybrate, Medlife, and Portea Medical in India are some of the top players in telehealth and telemedicine. Lybrate’s USP lies in CMS (Clinical Management System) which helps doctors with tedious tasks of managing patients and providing better care. Meanwhile, Portea Medical’s home consults and pharma delivery have more relevance with the audience as it combines technology with a touch of personalization. 

Digital Therapeutics

Digital Therapeutics delivers evidence-based therapies with the help of software which can be used both as a preventive measure as well as treatment application. The effectiveness of the medication and lifestyle changes on patients are monitored by leveraging technology. In India, major non-communicable diseases that account for 62% of the total mortality rate are CVD, diabetes, respiratory conditions, and cancer. Prominent global players in this space include Noom (US), Livongo Health (US), Omada Health (US), WellDoc (US), Pear Therapeutics (US), Proteus Digital Health (US), Propeller Health (US), Akili Interactive Labs (US), Better Therapeutics (US), etc. Omada Health is the pioneer in the DTx (Digital Therapeutics) that focused primarily on diabetes and pre-diabetes but now is branching out in the mental health space as well. In India, Altran (a part of Capgemini) is into building personalized DTx applications for clients. Whereas a start-up called Wellthy Therapeutics has ready solutions catering to multiple diseases.

Future of Virtual Health

Undoubtedly, there has been a massive increase in the adoption of Virtual Health technologies as people have gotten accustomed to the ease of certain services at home. In the coming future, mHealth apps, remote patient monitoring, and Digital therapeutics see a surge in demand from the customers. According to a study by Markets and Markets, “The global digital therapeutics market is projected to reach USD 6.9 billion by 2025 from USD 2.1 billion in 2020, at a CAGR of 26.7% during the forecast period (2020–2025).” A study by Fortune Business Insights, “The global mHealth market size is projected to reach USD 293.29 billion by 2026, exhibiting a CAGR of 29.1% during the forecast period.” A Research and Markets report says, “The remote patient monitoring market is expected to reach US$31.326 billion by the end of 2023.” Apart from the above, development in digital infrastructure such as virtual health stations where doctors can provide consultations globally, mobile ICUs, MRIs, X-rays, ultrasound equipment, the establishment of rural virtual care units reaching the remote areas of the country are some of the trends which will gain momentum. The focus would always lie upon the personalization of the virtual care experience for patients driven by data exchange and interoperability. 

Indeed, there are certain challenges to the implementation of these technologies, lack of infrastructure, and digital literacy amongst elders and lower strata of society. Many healthcare institutions still have inhibitions while investing in digital technologies fearing rejection from the customers. It will be crucial for care providers to choose the right partner for implementing these technologies and create awareness amongst people to adopt them.  

In a Nutshell

The success of virtual care relies on how well the digital experience is designed for the patient. “By 2025, as many as 95 percent of all customer interactions will be through channels supported by artificial intelligence (AI) technology” – Microsoft. The use of algorithms and AI for personalizing these experiences will be the key. 

Find out more about unchartered territories in ‘Blue Ocean’ of Digital Health. Join our webinar hosted by Parag Sharma (CEO, Mantra Labs) as he shares his insights on untapped opportunities using digital self-care tools within behavioral healthcare & emotional wellness.

Save your spot! 

Further Readings:

  1. Reimagining Medical Diagnosis with Chatbots
  2. HealthTech 101: How are Healthcare Technologies Reinventing Patient Care
  3. What will be the state of the healthcare industry post pandemic?
  4. Healthcare Chatbots: Innovative, Efficient, and Low-cost Care
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