Kajal Claypool

Kajal Claypool

Massachusetts Institute of Technology

H-index: 21

North America-United States

About Kajal Claypool

Kajal Claypool, With an exceptional h-index of 21 and a recent h-index of 13 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Databases, Data Science, Software Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Waist circumference and insulin resistance are the most predictive metabolic factors for steatosis and fibrosis

Natasha R. Ussrey

Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study

Prevalence of fatty liver disease is driven by prediabetes and diabetes: Us nhanes 2017–2018

The demographic and socioeconomic correlates of behavior and HIV infection status across sub-Saharan Africa

1056-P: High Prevalence of Fatty Liver Disease in Individuals with Diabetes and Subclinical Manifestations of Liver Disease

TemPredict: a big data analytical platform for scalable exploration and monitoring of personalized multimodal data for COVID-19

Leveraging vibration of effects analysis for robust discovery in observational biomedical data science

Kajal Claypool Information

University

Position

MIT Lincoln Laboratory

Citations(all)

3195

Citations(since 2020)

814

Cited By

2632

hIndex(all)

21

hIndex(since 2020)

13

i10Index(all)

37

i10Index(since 2020)

16

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Kajal Claypool Skills & Research Interests

Databases

Data Science

Software Engineering

Top articles of Kajal Claypool

Title

Journal

Author(s)

Publication Date

Waist circumference and insulin resistance are the most predictive metabolic factors for steatosis and fibrosis

Clinical Gastroenterology and Hepatology

Kajal Claypool

Michelle T Long

Chirag J Patel

2023/7/1

Natasha R. Ussrey

Shakti Davis

Xiaozhong Liu

Daniel Hooks

Kajal Claypool

2023

Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study

Scientific reports

Ashley E Mason

Frederick M Hecht

Shakti K Davis

Joseph L Natale

Wendy Hartogensis

...

2022/3/2

Prevalence of fatty liver disease is driven by prediabetes and diabetes: Us nhanes 2017–2018

Clinical Gastroenterology and Hepatology

Kajal Claypool

Chirag J Patel

2022/3/1

The demographic and socioeconomic correlates of behavior and HIV infection status across sub-Saharan Africa

Communications Medicine

Chirag J Patel

Kajal T Claypool

Eric Chow

Ming-Kei Chung

Don Mai

...

2022/8/18

1056-P: High Prevalence of Fatty Liver Disease in Individuals with Diabetes and Subclinical Manifestations of Liver Disease

Diabetes

KAJAL CLAYPOOL

CHIRAG PATEL

2021/6/1

TemPredict: a big data analytical platform for scalable exploration and monitoring of personalized multimodal data for COVID-19

Shweta Purawat

Subhasis Dasgupta

Jining Song

Shakti Davis

Kajal T Claypool

...

2021/12/15

Leveraging vibration of effects analysis for robust discovery in observational biomedical data science

PLoS biology

Braden T Tierney

Elizabeth Anderson

Yingxuan Tan

Kajal Claypool

Sivateja Tangirala

...

2021/9/23

Detecting pathogen exposure during the non-symptomatic incubation period using physiological data: proof of concept in non-human primates

Frontiers in Physiology

Shakti Davis

Lauren Milechin

Tejash Patel

Mark Hernandez

Greg Ciccarelli

...

2021/9/3

The demographic, social, and economic correlates of HIV infection status in sub-Saharan Africa

Eran Bendavid

Kajal Claypool

Eric Chow

Jake Chung

Don Mai

...

2020/12/21

The impact of host-based early warning on disease outbreaks

MedRxiv

Mark A Hernandez

Lauren E Milechin

Shakti K Davis

Richard A DeLaura

Kajal T Claypool

...

2020/3/8

Characteristics of undiagnosed diabetes in men and women under the age of 50 years in the Indian subcontinent: the National Family Health Survey (NFHS-4)/Demographic Health …

BMJ Open Diabetes Research and Care

Chirag J Patel Kajal T Claypool

Ming-Kei Chung

Andrew Deonarine

Edward W Gregg

2020

Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection.

Erin Teeple

Thomas Hartvigsen

Cansu Sen

Kajal T Claypool

Elke A Rundensteiner

2020

See List of Professors in Kajal Claypool University(Massachusetts Institute of Technology)

Co-Authors

H-index: 65
Elke Rundensteiner

Elke Rundensteiner

Worcester Polytechnic Institute

H-index: 41
Mark Claypool

Mark Claypool

Worcester Polytechnic Institute

H-index: 22
George T. Heineman

George T. Heineman

Worcester Polytechnic Institute

academic-engine