Thomas Peterson, PhD

Assistant Adjunct Professor

M_Ortho-Gen Ortho-Core

+1 415 514-0528

Core member, Bakar Computational Health Sciences Institute
Director, UCSF REACH Analytics Core
Leadership Team, UCSF Musculoskeletal Center
Investigator, San Francisco Veteran's Administration Health Care System

Publications

Biobehavioral Phenotypes of Chronic Low Back Pain: Psychosocial Subgroup Identification Using Latent Profile Analysis.

Pain medicine (Malden, Mass.)

Gholi Zadeh Kharrat F, Amar Kumar P, Mehling W, Strigo I, Lotz J, Peterson TA, REACH Investigators

Unlocking Gait Analysis Beyond the Gait Lab: High-Fidelity Replication of Knee Kinematics Using Inertial Motion Units and a Convolutional Neural Network.

Arthroplasty today

Bini SA, Gillian N, Peterson TA, Souza RB, Schultz B, Mormul W, Cichon MK, Szczotka AB, Poupyrev I

Chronic Low Back Pain Causal Risk Factors Identified by Mendelian Randomization: a Cross-Sectional Cohort Analysis.

The spine journal : official journal of the North American Spine Society

Zheng P, Scheffler A, Ewing S, Hue T, Jones S, Morshed S, Mehling W, Torres-Espin A, Galivanche A, Lotz J, Peterson T, O'Neill C, REACH investigators

Evaluating associations between social risks and health care utilization in patients with chronic low back pain.

Pain reports

Pak SS, Jiang Y, Lituiev DS, De Marchis EH, Peterson TA

Chronic Low Back Pain Causal Risk Factors Identified by Mendelian Randomization: a Cross-Sectional Cohort Analysis.

medRxiv : the preprint server for health sciences

Zheng P, Scheffler A, Ewing S, Hue T, Jones S, Morshed S, Mehling W, Torres-Espin A, Galivanche A, Lotz J, Peterson T, O'Neill C, REACH investigators

Acute Pericarditis: Rapid Evidence Review.

American family physician

Peterson TA, Turner SP, Dolezal KA

Machine Learning Models for Low Back Pain Detection and Factor Identification: Insights from a 6-Year Nationwide Survey.

The journal of pain

Bhak Y, Ahn TK, Peterson TA, Han HW, Nam SM

Predictors of response in PROMIS-global in a chronic low back pain specialty clinic: STarTBack and chronic overlapping pain conditions.

Journal of back and musculoskeletal rehabilitation

Zheng P, Ewing S, Tang A, Black D, Hue T, Lotz J, Peterson T, Torres-Espin A, O'Neill C

Automatic extraction of social determinants of health from medical notes of chronic lower back pain patients.

Journal of the American Medical Informatics Association : JAMIA

Lituiev DS, Lacar B, Pak S, Abramowitsch PL, De Marchis EH, Peterson TA

Risk factors for extended length of stay and non-home discharge in adults treated with multi-level fusion for lumbar degenerative pathology and deformity.

Spine deformity

Arora A, Wague A, Srinivas R, Callahan M, Peterson TA, Theologis AA, Berven S

Predictive Models for Length of Stay and Discharge Disposition in Elective Spine Surgery: Development, Validation, and Comparison to the ACS NSQIP Risk Calculator.

Spine

Arora A, Lituiev D, Jain D, Hadley D, Butte AJ, Berven S, Peterson TA

Analyzing excipient-related adverse events in antiseizure drug formulations.

Epilepsy research

Ionova Y, Peterson T, Wilson L

Unsupervised Machine Learning on Motion Capture Data Uncovers Movement Strategies in Low Back Pain.

Frontiers in bioengineering and biotechnology

Keller AV, Torres-Espin A, Peterson TA, Booker J, O'Neill C, Lotz JC, Bailey JF, Ferguson AR, Matthew RP

Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network Analysis.

Journal of medical Internet research

Nam SM, Peterson TA, Seo KY, Han HW, Kang JI

Quantifying Variation in Treatment Utilization for Type 2 Diabetes Across Five Major University of California Health Systems.

Diabetes care

Peterson TA, Fontil V, Koliwad SK, Patel A, Butte AJ

Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes.

NPJ digital medicine

Norgeot B, Muenzen K, Peterson TA, Fan X, Glicksberg BS, Schenk G, Rutenberg E, Oskotsky B, Sirota M, Yazdany J, Schmajuk G, Ludwig D, Goldstein T, Butte AJ

Explanatory Model of Dry Eye Disease Using Health and Nutrition Examinations: Machine Learning and Network-Based Factor Analysis From a National Survey.

JMIR medical informatics

Nam SM, Peterson TA, Butte AJ, Seo KY, Han HW

Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer.

Journal of the American Medical Informatics Association : JAMIA

Peterson TA, Nehrt NL, Park D, Kann MG

Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.

Bioinformatics (Oxford, England)

Doughty E, Kertesz-Farkas A, Bodenreider O, Thompson G, Adadey A, Peterson T, Kann MG

DMDM: domain mapping of disease mutations.

Bioinformatics (Oxford, England)

Peterson TA, Adadey A, Santana-Cruz I, Sun Y, Winder A, Kann MG

Custom Person Type

Executive Committee

Data Science

Publications

Biobehavioral Phenotypes of Chronic Low Back Pain: Psychosocial Subgroup Identification Using Latent Profile Analysis.

Unlocking Gait Analysis Beyond the Gait Lab: High-Fidelity Replication of Knee Kinematics Using Inertial Motion Units and a Convolutional Neural Network.

Chronic Low Back Pain Causal Risk Factors Identified by Mendelian Randomization: a Cross-Sectional Cohort Analysis.

Evaluating associations between social risks and health care utilization in patients with chronic low back pain.

Chronic Low Back Pain Causal Risk Factors Identified by Mendelian Randomization: a Cross-Sectional Cohort Analysis.

Acute Pericarditis: Rapid Evidence Review.

Machine Learning Models for Low Back Pain Detection and Factor Identification: Insights from a 6-Year Nationwide Survey.

Predictors of response in PROMIS-global in a chronic low back pain specialty clinic: STarTBack and chronic overlapping pain conditions.

Automatic extraction of social determinants of health from medical notes of chronic lower back pain patients.

Risk factors for extended length of stay and non-home discharge in adults treated with multi-level fusion for lumbar degenerative pathology and deformity.

Predictive Models for Length of Stay and Discharge Disposition in Elective Spine Surgery: Development, Validation, and Comparison to the ACS NSQIP Risk Calculator.

Analyzing excipient-related adverse events in antiseizure drug formulations.

Unsupervised Machine Learning on Motion Capture Data Uncovers Movement Strategies in Low Back Pain.

Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network Analysis.

Quantifying Variation in Treatment Utilization for Type 2 Diabetes Across Five Major University of California Health Systems.

Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes.

Explanatory Model of Dry Eye Disease Using Health and Nutrition Examinations: Machine Learning and Network-Based Factor Analysis From a National Survey.

Empirical null estimation using zero-inflated discrete mixture distributions and its application to protein domain data.

Oncodomains: A protein domain-centric framework for analyzing rare variants in tumor samples.

Regulatory Single-Nucleotide Variant Predictor Increases Predictive Performance of Functional Regulatory Variants.

Towards precision medicine: advances in computational approaches for the analysis of human variants.

Crosstalk between the circadian clock and innate immunity in Arabidopsis.

A protein domain-centric approach for the comparative analysis of human and yeast phenotypically relevant mutations.

Domain landscapes of somatic mutations in cancer.

Domain landscapes of somatic mutations in cancer.

Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer.

Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.

DMDM: domain mapping of disease mutations.