Cream and Red Pashapalli Saree

4th May 2018: Athena Health, Lavelle Road, Bangalore…

“It was Cian’s birthday. The house was well decorated. She looked like a fairy in her favorite pink dress. Cake was ready to be cut, but she was feeling a little uneasy in the evening as the crowd was growing. Even though, she was very active among her friends before, but now she was feeling restless. Suddenly, she fell down after touching the cake and was rushed towards the ICU of hospital and after 17 hrs of intensive treatment, she was declared DEAD!”

A very warm good afternoon to all of my c-contestants, my dear friends and colleagues.

Today my topic is: How do I improve machine learning prediction rates for rare events in Pharma co-vigilance?”

Attention deficit/hyperactivity disorder (ADHD) is among the most common neuro-developmental disorders, affecting 7.2% of children worldwide, with a significant impact on familial, relational, and school functioning in more than one setting. ADHD is a highly heterogeneous condition with manifold causes, progressions and a broad range of symptom manifestations. The diagnostic criteria for ADHD include purely behavioral descriptions of symptoms, which often overlap with the manifestations of many other psychopathologies. Attention-deficit/hyperactivity disorder (ADHD) agents increase systolic and diastolic blood pressure and heart rate. Case reports of sudden death in children and adolescents receiving these agents have led to the concern that they might increase the risk of cardiovascular events.

For these reasons, the diagnosis of ADHD still represents a challenge, and clinicians highly demand the availability of more objective and reliable measures for diagnosing subjects with ADHD.

Machine learning commonly refers to all procedures that train a computer algorithm to automatically extract meaningful information from the data and to use it to make predictions about the group membership of new individuals (e.g., patients vs. controls). Machine-learning methods are multivariate analysis methods that also offer the advantage of identifying complex patterns of differences that univariate statistical methods do not efficiently recognize. Thus, the use of these methods should not be simply considered a potential “diagnostic” tool but also a useful procedure for identifying objective measures at an individual level from a larger dataset to be used for single-subject diagnosis. A number of studies recently indicated that the machine-learning classification approach may lead clinicians toward an efficient and accurate diagnosis of ADHD using behavioral/cognitive measures or neuro-physiological techniques, such as electroencephalography, structural magnetic resonance imaging (MRI) and resting-state functional MRI.

In conclusion, we have provided preliminary evidence that school-aged children with ADHD can reliably be identified using a multi-domain dataset including blood FA profiles, neuro-psychological measures. The significant predictive value of the present machine-learning classification approach might be helpful for supporting the clinical practice of diagnosing ADHD, even fostering a computer-aided diagnosis perspective."

It was a presentation of about half an hour, following a questionnaire session of twenty-five minutes. I concluded my session and waited for 4 hours to get others finish with their respective parts.

After 4 hours-

The chief guest of the conference declared “The winner is: How do I improve machine learning prediction rates for rare events in Pharma co-vigilance?” Yeah. It’s Suchismita Sahu, for this presentation-

It was an overwhelming moment for me. I was not able to believe myself. My presentation was declared as the best among all, presented in the International Conference of Machine Learning and Artificial Intelligence, conducted by Athena Health, where seventeen contestants were representing their respective countries.

“Congratulations, Suchismita. Your presentation was outstanding and you are looking so pretty in this attire. Is it Shambhalphuri…?” Signe, one of my co-contestant representing Denmark asked me.

“Thank you, Signe. Yes its Sambalpuri Sari”. I thanked and gave a smile at Signe.

“I need one of this. How can I get it?” She asked me so curiously that I could feel she was more excited about this Sari rather than my winning over her in the contest.

“Ummm, yes, we will search one in Bangalore and I am pretty sure that we will get it one, which will be more beautiful than this. We will definitely do it tomorrow morning.” I said while giving a smile and exchanged our mobile number so that next day morning we can start hunting the same sari in the Bangalore market.

Then we left the Conference.

“You know Suchi; really I am very much happy for you. I don’t have words to express it. I would have definitely married you, if I would be a guy.” Sheela, my ex-colleague, who works as a Product Manager in Athena Health, told me while our way back to home.

“Yes, I have also become so shameless that I am accepting your flirting so happily without reacting anything.” I told her while giving a little smile.

"Hey, laughter is the best medicine” Sheela said

“And I am providing you that medicine free of cost. So, you should thank me.” I said and again one more round of loud laugh killed the calmness which was maintained over my small car.

“Really, I accept you were the most deserving candidate in the show, the way you started your presentation with a story, which grabbed the attention of the audience, then gradually it took turn as to why your topic requires attention and research and at last, the role of Machine Learning and Artificial Intelligence in this specific field of research. The complete presentation was just outstanding and your dress up was adding value to your calm and pleasing personality. After all, you were really representing India with this traditional Cream and Red Pashapalli Sambalpuri Silk Sari” Sheela said.

“Thank you. Don’t you feel that you are over-praising me? ” I just smiled.

“I was completely mesmerized; by the way how much did this sari cost you? I liked it the most. From where did you get this? Could you please bring one for me?” Sheela said very excitedly.

“I will get you one, the next time I go to Odisha” I said and kept quiet.

Within 20 minutes, I dropped Sheela at her home and drove towards mine.

“Why are you dressed up like an Aunty? Don’t you see how my friends’ wives are dressed up? They are looking so gorgeous and smart. I did a mistake to bring you in this birthday party and you don’t even know how to greet others. What is this way of doing ‘Namaste’ to everyone? See, how Rinku is so smart, greeting everyone with ‘Hi and hello with a warm hug’, Juhi’s maxi dress is so lovely, she is looking so sexy. Rosy is looking so impressive with a glass of beer in her hand. You are so disgusting. I cannot understand why God is taking revenge from me and that is of which birth I did have done what kind of worst misdeed? Don’t stand near to me. I am feeling shameful to introduce you as my wife” were the words of my ex- husband that hit me badly through my ears, even this day which were told me almost 4 yrs back.

“Why, what’s wrong with this Sari? This is my favorite Sari, a nice combination of cream and red with Pashapalli work, the traditional Sari of Odisha in Sambalpur, my hometown. It’s so smooth and light, it adds value to one’s personality. I had liked this at its first view and everyone had liked this Sari during my marriage too. Net thin Sari, sexy maxi dress and beer in one’s hand do not add value to a girl’s personality; in fact it adds cheapness to her personality, as per my view. Everyone in this party is celebrating the third birthday of a kid. What will he learn by seeing the dress up and behavior of all these ladies? I am doing “Namaste” to everyone, as all of your friends are Oriya and I am greeting them in a typical Odia manner, if I start talking in English here, then neither you nor your friends nor their wives will be able to stand in front of me. That you know better than me and I don’t like to show off. My intention was that no one should feel anything that I am not becoming friendlier with them” I said very calmly.

“Slaaa. You just shut up” a sharp slap fell on at my cheek, from the boney hands of my ex-husband, whose sharpness I fell even now.

“Crouch.” Oh, thank God. I pressed a sudden break in order to avoid hitting an Activa.

Why am I getting so disturbed by remembering all the past incidents?

Tring…Tring

“Yeah, Mumma, I am driving back home. My presentation became the best and I got an award” I received Mamma’s call, as I can never ignore her call, even if I would be flowing in the Tsunami and I have to give her update that “Mumma, I am flowing in the Tsunami, but still I received your call” then only she will be happy after hearing my voice, even though I would be flowing in Tsunami.

“Hmm, Beta, my blessings are always with you and what did you wear? I was supposed to tell you that you should have worn a sari then again thought that you might not be able to manage yourself in a sari during this presentation” Mumma told.

“Yes, Mumma. I was in that Cream and Red Pashapalli Sambalpuri Silk Sari. Ok, then I will call you back once I reach home. I am driving now, dropping the call” I told in hurry and dropped off the call.

Immediately after arriving at home, I saw myself in the mirror.

Really, I was looking very nice. This Sari had multi folded my personality. It had made me more confident by making me a winner in the Conference. I love you. I love myself and this Sari as well. Why had I ignored it for such a long time and had thrown it in some dark corner of my room deciding that I will never wear it. Why? Because of whom? Is it because of my ex- husband who didn’t like this Sari and I accepted his likings who could never understand me, who could not see my success, who could not accept that I am more talented than him? But, why all that anger went on this Sari? Was it anger or I was trying to please him by rejecting this Sari?Why was I trying to please him? Is it because I was not pleased with me? Yes, this was the reason. I was always feeling down in front of everyone because of my Introvert quality but once I started accepting this quality, it became my greatest strength and because of which now I have started winning the shows. I love myself. I love all those who are with me now. I am lucky that everything is still with me who deserves to be with me and he is not with me who does not deserve to be with me. Oh My God. I am flying. I realized my potential. I am the best and you are also the best for giving me company in my achievement. Oh my lovely Cream and Red Pashapalli Sambalpuri Silk Sari.