Imaginea de profil a utilizatorului drpeek
@drpeek
Steagul Sweden Stockholm, Sweden
Membru din 30 august 2018
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drpeek

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I am a Medical Doctor and Data Scientist by profession. I have strong capacity to conduct high impact research in Artificial Intelligence in Healthcare and write systematic literature reviews according to PRISMA guidelines. I have completed PhD courses on how to write systematic reviews, and have been able to publish literature reviews in quality academic journals. Currently, I am enrolled as a PhD candidate at the department of Learning Informatics Management and Ethics, at Karolinska Institutet, Stockholm, Sweden. In my PhD project, I am exploring the application of Artificial Intelligence and Machine Learning in health care. Specifically, I am developing a Predictive Decision Support Model for patients with Multiple Chronic Conditions of Diabetes, Cardiovascular and Kidney diseases.
$30 USD/hr
3 recenzii
3.7
  • 67%Proiecte finalizate
  • 100%Conform bugetului
  • 100%La timp
  • N/ARata de angajare repetată

Portfolios

Păreri Recente

Experiență

Job Match Coordinator

Nov 2017 - Jul 2018 (8 months)

Coordinated and Organized Job Matching event at IJCAI

PhD candidate

Dec 2015

I am a medical doctor, health care manager and data scientist by background. Currently, I am a PhD candidate at Karolinska Institutet developing a predictive decision support model for complex patients with Multiple Chronic Conditions of Diabetes, Cardiovascular and Kidney Diseases. I am interested in applications of Artificial Intelligence and Machine Learning in health care.

Visiting Researcher

Jan 2014 - Dec 2015 (1 year)

Conducted systematic reviews and evaluated health care interventions through quantitative analyses.

Intern at Medical Management Center

Sep 2013 - Dec 2013 (3 months)

Evaluated See and Treat unit at the Emergency Department of Stockholm Southern Hospital.

Health Coordinator

Jun 2009 - Sep 2012 (3 years)

Lead the effective implementation of quality health programs in response to emergencies and strengthening local health care systems in Pakistan.

Educație

Bachelor of Medicine and Bachelor of Surgery (MBBS)

2000 - 2007 (7 years)

Master of International Health Care Management, Economics and Policy (MIHMEP)

2012 - 2013 (1 year)

Calificări

Professional Trainer (2011)

Merlin

Disease Early Warning System (DEWS), Family Planning and Post Abortion Care, IMNCI

Publicări

Deep learning architectures for vector representations of patients

[login to view URL] This empirical study of a complex group of patients with multiple chronic concurrent conditions (diabetes, cardiovascular and kidney diseases) explores the use of deep learning architectures to identify patient segments and contributing factors to 30-day hospital readmissions.

Publication Preview Source Time-driven activity-based costing in health care: A systematic review

[login to view URL] This is a systematic review following the PRISMA statement. Qualitative methods were employed to analyze data through content analyses. TDABC is applicable in health care and can help to efficiently cost processes, and thereby overcome a key challenge associated with current cost-accounting methods.

Application of the GRADE Approach in the Development of Guidelines in Genomic Medicine

[login to view URL] Here, we discuss whether and how GRADE can be applied to address the challenges posed by the evidence-based guidelines and recommendations development process in genomics. To see how GRADE can complement to the current guidelines development in genomics, we compare and contrast GRADE with other approaches.

Business model framework applications in health care: A systematic review

[login to view URL] We conducted a systematic literature review with an explanatory synthesis approach to understand how business model frameworks have been applied in health care.

Publication Preview Source Direct-to-Consumer Genetic Testing: A Systematic Review of EU Guidelines

[login to view URL] We conducted a systematic review of position statements, policies, guidelines, and recommendations, produced by professional organizations or other relevant bodies for use of DTC GT in Europe.

Deep Learning for hospital readmission prediction in Patients with diabetes, CSV & kidney disease?

This empirical study of a complex group of patients with multiple chronic concurrent conditions (diabetes, cardiovascular and kidney diseases) explores the use of deep learning architectures to identify patient segments and contributing factors to 30-day hospital readmissions. We implemented Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) on sequential Electronic Health Records data at the Danderyd Hospital in Stockholm, Sweden.

Certificări

  • Preferred Freelancer Program SLA
    89%
  • US English Level 1
    80%

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