Piyush Madan from Seattle, WA

Us Patents

Artificial Intelligence-Assisted Non-Pharmaceutical Intervention Data Curation
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US Patent:

20230047800, Feb 16, 2023
Filed:

Aug 13, 2021
Appl. No.:

17/402123
Inventors:

- Armonk NY, US
Ching-Huei Tsou - Briarcliff Manor NY, US
Ananya Aniruddha Poddar - White Plains NY, US
Diwakar Mahajan - New York NY, US
Bharath Dandala - White Plains NY, US
Divya Ranganathan Pathak - Westchester NY, US
Piyush Madan - Boston MA, US
Michal Rosen-Zvi - Jerusalem, IL
Aisha Walcott - Nairobi, KE
International Classification:

G16H 50/70
G16H 50/20
G06F 40/30
G06F 16/951
Abstract:

Systems, devices, computer-implemented methods, and/or computer program products that facilitate artificial intelligence (AI)-assisted curation of non-pharmaceutical intervention (NPI) data from heterogeneous data sources. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise an extraction component and a change detection component. The extraction component can extract candidate non-pharmaceutical intervention (NPI) events from data associated with a defined disease. The change detection component can evaluate the candidate NPI events for inclusion in a dataset storing NPI events in a defined format.

Managing Health Conditions Using Preventives Based On Environmental Conditions
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US Patent:

20210118560, Apr 22, 2021
Filed:

Oct 16, 2019
Appl. No.:

16/654445
Inventors:

- Armonk NY, US
Piyush Madan - Boston MA, US
Fang Lu - Billerica MA, US
International Classification:

G16H 40/60
G16H 50/20
Abstract:

A computer system manages a health condition based on conditions of an environment. Health information of a user is analyzed to determine a health condition affected by environmental conditions. One or more events for the user are obtained based on personal information. The environmental conditions for one or more event locations are determined. One or more preventive items are indicated for the user to attend the one or more events in order for the health condition to tolerate the environmental conditions of the one or more event locations. Embodiments of the present invention further include a method and program product for managing a health condition based on conditions of an environment in substantially the same manner described above.

Monitoring Users To Capture Contextual And Environmental Data For Managing Adverse Events
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US Patent:

20210098085, Apr 1, 2021
Filed:

Sep 27, 2019
Appl. No.:

16/585688
Inventors:

- Armonk NY, US
Fang Lu - Billerica MA, US
Piyush Madan - Boston MA, US
International Classification:

G16H 10/20
G16H 10/60
G16H 80/00
A61B 5/00
Abstract:

A computer system monitors users to capture contextual and environmental data for managing adverse events of those users. A level of risk for occurrence of an adverse event from performing a medical related activity is determined based on the medical related activity, a medical profile, and a risk profile of the user. The user is monitored to capture environmental and contextual information for the adverse event. The captured information is stored to associate the captured information with the adverse event. In response to occurrence of the adverse event, the user is prompted to provide information pertaining to conditions surrounding the adverse event. The stored information for the adverse event is updated with the user-provided information, and is transmitted to a provider associated with the medical related activity. Embodiments of the present invention further include a method and program product for managing adverse events in substantially the same manner described above.

Indicating In An Electronic Communication Session A Concentration Level Score Of A User Participating In The Electronic Communication Session
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US Patent:

20200296176, Sep 17, 2020
Filed:

Mar 12, 2019
Appl. No.:

16/351035
Inventors:

- Armonk NY, US
Piyush Madan - Boston MA, US
Fang Lu - Billerica MA, US
International Classification:

H04L 29/08
H04L 29/06
Abstract:

Communication session data pertaining to a first user can be received during an electronic communication session in which the first user and at least a second user participate. The communication session data can be analyzed. Based on the analysis, a concentration level score of the first user can be determined. A contextual indicator indicating the concentration level score of the first user can be generated. The contextual indicator can be communicated to a second client device used by the second user. Communicating the first contextual indicator to the second client device can initiate the second client device to present, in a user interface used by the second user for the communication session, a first user interface element indicating the concentration level score of the first user.

Alert System For Environmental Changes
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US Patent:

20200284609, Sep 10, 2020
Filed:

Mar 5, 2019
Appl. No.:

16/293625
Inventors:

- Armonk NY, US
Piyush MADAN - Boston MA, US
Fang LU - Billerica MA, US
International Classification:

G01C 21/36
G08G 1/0968
G06K 9/00
G06K 9/62
Abstract:

For locations along a route a user will be traveling, the alert system for environmental changes compares first and second sets of images associated with first and second timestamps, respectively. The alert system determines degrees of environmental changes for the locations based on the comparisons. The alert system then generates and sends an alert to a user device. In determining the degrees of environment changes, the alert system retrieves first and second set of images matching a given location and associated with first and second timestamps. The alert system identifies first and second sets of objects and extracts first and second sets of attributes for the first and second sets of images. The alert system compares the first and second sets of attributes and the first and second set of objects, and determines a given degree of environmental changes at the given location based on the comparisons.

Health Trends Identification
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US Patent:

20200082169, Mar 12, 2020
Filed:

Sep 7, 2018
Appl. No.:

16/124439
Inventors:

- Armonk NY, US
Italo BULEJE - Orlando FL, US
Jingwei YANG - Cambridge MA, US
Piyush MADAN - Boston MA, US
Rachita CHANDRA - Cambridge MA, US
Shilpa N. MAHATMA - Chappaqua NY, US
Sundar SARANATHAN - Framingham MA, US
International Classification:

G06K 9/00
G16H 20/60
G06K 9/62
G08B 21/18
Abstract:

Methods and apparatus for identifying health trends via the identification of ambiguous food items via container identification may be provided by: receiving an image captured from a user device that includes a food item; identifying a food container present in the image; identifying a utensil present in the image; determining a cluster of food items from a food recognition database corresponding to the food container and to the utensil; selecting a candidate food item from the cluster based on a confidence score of the candidate food item matching the food item; and adding the candidate food item to a dietary log associated with the user device.

Generation Of Concept Scores Based On Analysis Of Clinical Data
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US Patent:

20200051673, Feb 13, 2020
Filed:

Aug 10, 2018
Appl. No.:

16/100536
Inventors:

- Armonk NY, US
Piyush MADAN - Boston MA, US
Jeffrey B. BEERS - Issaquah WA, US
Joern JASKOLOWSKI - Copenhagen, DK
Terry Verne TAERUM - Aurora IL, US
International Classification:

G16H 10/60
G06F 17/30
G16H 10/40
Abstract:

Techniques for clinical concept score generation are provided. A set of keywords related to a clinical concept are determined, and a plurality of attributes is identified by searching a plurality of electronic health records (EHRs) based on the set of keywords. A plurality of attribute groups is generated, where each of the attribute groups is statistically orthogonal and includes at least one of the plurality of attributes, based on occurrence data extracted from the plurality of EHRs. For a patient, a plurality of attribute scores is determined for the plurality of attributes based on occurrence data extracted from one or more EHRs corresponding to the patient. A plurality of attribute group scores is determined, for the patient, for the plurality of attribute groups, based on the plurality of attribute scores. A clinical concept score is generated for the patient based on the plurality of attribute group scores.

Medication Decision Support
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US Patent:

20190198142, Jun 27, 2019
Filed:

Dec 26, 2017
Appl. No.:

15/854059
Inventors:

- Armonk NY, US
ITALO BULEJE - Orlando FL, US
JINGWEI YANG - Cambridge MA, US
PIYUSH MADAN - Boston MA, US
RACHITA CHANDRA - Cambridge MA, US
Sharon M. Hensley Alford - Dearborn MI, US
Shilpa N. Mahatma - Chappaqua NY, US
Sundar Saranathan - Framingham MA, US
International Classification:

G16H 20/10
G16H 50/20
Abstract:

Embodiments of the present invention disclose a method, a computer program product, and a computer system for medication decision support. A computer generates one or more patient profiles detailing one or more patient health conditions and one or more medication profiles detailing one or more medication side effects. The computer then determines an association between the one or more patient health conditions and one or more medication side effects and quantifies the association as a conflict score. In addition, the computer determines whether the conflict score exceeds a threshold and, if so, the computer identifies and recommends an alternative medication having a lower conflict score.

Resumes

Staff Data Scientist

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Location:

Baltimore, MD

Industry:

Information Technology And Services

Work:

Johns Hopkins University Jan 2016 - Jun 2016
Researcher
Ibm Jan 2016 - Jun 2016
Staff Data Scientist
The Cari Foundation Jan 2014 - Aug 2015
Manager - Software Development
Raxa Aug 2012 - Dec 2013
Software Developer
Google May 2012 - Aug 2012
Google Summer of Code 2012 Student Developer

Education:

The Johns Hopkins University 2015 - 2016
Masters, Informatics University School of Law and Legal Studies, Guru Gobind Singh Indraprastha University, New Delhi 2008 - 2012
Bachelors, Bachelor of Technology Massachusetts Institute of Technology

Skills:

Python
Databases
Data Science
Javascript
Mysql
Big Data
Node.js
Java
Healthcare Information Technology
Sql
Sencha
Core Java
Jquery
Android
Open Source Software
Css
Gesture Recognition
Opencv
Technical Papers
Mobile Applications
I18N
Nodejs
Ruby
Rails Framework
Html 5
Open Source
Ruby on Rails
Software Engineering
Ext Js
Php

Languages:

English
Haitian Creole
Punjabi
Hindi
French

Certifications:

Data Science Specialization
R Programming
Developing Data Products
Exploratory Data Analysis
M101P: Mongodb For Developers
University Teaching 101
Epidemiology: the Basic Science of Public Health
American Health Policy: the Structure of the American Health Care System (Part I of Ii)
American Health Policy: the Affordable Care Act and the Future of Health Care Reform (Part Ii of Ii)
The Data Scientistâ€™S Toolbox
Getting and Cleaning Data
Statistical Inference
Regression Models
Practical Machine Learning
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Structuring Machine Learning Projects
Neural Networks and Deep Learning
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