Gregory B. Hooke
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Gregory B. Hooke has a total of 33 co-authors. Here are the top co-authors by number of shared publications:
- Aditya Gupta
Department of Neurology, Beth Israel Deaconess Medical Center , Boston, MA
1 shared publication - Ali Han Yaramis
Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
1 shared publication - Arjun Singh
Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
1 shared publication - Benjamin T. Crookston
Brigham Young University
1 shared publication - Bram Overmeer
Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
1 shared publication - Catherine Clive
Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
1 shared publication
Latest Publications
- Open Access
- 23 March 2026
- Published by MDPI AG in Algorithms
- Vol. 19 (3) , 239
Automated Electronic Health Record Phenotyping of Acute and Subacute Subdural Hematoma
Accurate identification of acute and subacute subdural hematoma (acute/subacute SDH) is critical for improved patient outcomes. However, large-scale research is hindered by unreliable identification methods in electronic health records (EHRs). Current approaches relying on International Classification of Diseases (ICD) codes lack specificity and cannot distinguish acute, subacute, and chronic cases; manual chart review is too labor-intensive to scale. We developed an automated phenotyping algorithm using structured data and unstructured clinical notes for high-accuracy retrospective identification of acute/subacute SDH. We analyzed 2999 records from two hospitals, including ICD-positive and ICD-negative acute/subacute SDH cases verified by manual chart review. Features for model training included ICD codes, Current Procedural Terminology (CPT) codes, and clinical note keywords. Logistic regression and random forest models were trained using cross-validation and evaluated using AUROC and AUPRC. External validation involved training on one hospital and testing on the other. The random forest keywords-only model performed best, achieving an AUROC of 0.985 (95% CI: 0.980–0.990) and AUPRC of 0.944 (95% CI: 0.923–0.962) on the test set. External validation demonstrated strong AUROCs of 0.965 and 0.971 and AUPRCs of 0.831 and 0.840. The overall error rate was <1%. This model provides a scalable, highly accurate approach to acute/subacute SDH detection in EHR research.
- 23 March 2026
- Published by MDPI AG in Algorithms
- Vol. 19 (3) , 239
Open AccessAutomated Electronic Health Record Phenotyping of Acute and Subacute Subdural Hematoma
Accurate identification of acute and subacute subdural hematoma (acute/subacute SDH) is critical for improved patient outcomes. However, large-scale research is hindered by unreliable identification methods in electronic health records (EHRs). Current approaches relying on International Classification of Diseases (ICD) codes lack specificity and cannot distinguish acute, subacute, and chronic cases; manual chart review is too labor-intensive to scale. We developed an automated phenotyping algorithm using structured data and unstructured clinical notes for high-accuracy retrospective identification of acute/subacute SDH. We analyzed 2999 records from two hospitals, including ICD-positive and ICD-negative acute/subacute SDH cases verified by manual chart review. Features for model training included ICD codes, Current Procedural Terminology (CPT) codes, and clinical note keywords. Logistic regression and random forest models were trained using cross-validation and evaluated using AUROC and AUPRC. External validation involved training on one hospital and testing on the other. The random forest keywords-only model performed best, achieving an AUROC of 0.985 (95% CI: 0.980–0.990) and AUPRC of 0.944 (95% CI: 0.923–0.962) on the test set. External validation demonstrated strong AUROCs of 0.965 and 0.971 and AUPRCs of 0.831 and 0.840. The overall error rate was <1%. This model provides a scalable, highly accurate approach to acute/subacute SDH detection in EHR research.
- Open Access
- 25 February 2024
- Published by Christian Journal for Global Health in Christian Journal for Global Health
- Vol. 11 (1) , 111-120
Effective localization: case study of a faith-based health partnership in Sierra Leone and Zimbabwe
Faith-based organizations (FBOs) and faith-based service providers play a critical role in public health prevention, promotion, treatment, and community development. Effective capacity strengthening efforts through FBO partnerships can make a vital contribution toward effective localization. This case study details the efforts and results of a writing and publishing workshop provided in partnership with Corus International (IMA World Health) and the Africa Christian Health Associations Platform (ACHAP) in March of 2023. This case study also reports on workshop participantsʼ perceptions of the partnershipʼs approach to capacity strengthening. Three major and related themes emerged from the workshopʼs informal Focus Group Discussion transcription: 1) a safe and nurturing environment, 2) openness and shared decision-making, and 3) organizational humility.
- 25 February 2024
- Published by Christian Journal for Global Health in Christian Journal for Global Health
- Vol. 11 (1) , 111-120
Open AccessEffective localization: case study of a faith-based health partnership in Sierra Leone and Zimbabwe
Faith-based organizations (FBOs) and faith-based service providers play a critical role in public health prevention, promotion, treatment, and community development. Effective capacity strengthening efforts through FBO partnerships can make a vital contribution toward effective localization. This case study details the efforts and results of a writing and publishing workshop provided in partnership with Corus International (IMA World Health) and the Africa Christian Health Associations Platform (ACHAP) in March of 2023. This case study also reports on workshop participantsʼ perceptions of the partnershipʼs approach to capacity strengthening. Three major and related themes emerged from the workshopʼs informal Focus Group Discussion transcription: 1) a safe and nurturing environment, 2) openness and shared decision-making, and 3) organizational humility.