Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Methods of Documentation II: POMR

Methods of Documentation II: POMR

The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

<i>Special Issue:</i> 13th International Conference on Computational Advances in Bio and Medical Sciences.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same author

Fast Algorithms for Computing Jaro Similarity.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same author

Potent Acridone Antimalarial against All Three Life Stages of <i>Plasmodium</i>.

Research square·2025

Same author

<i>Special Section:</i> 12th International Computational Advances in Bio and Medical Sciences (ICCABS 2023).

Journal of computational biology : a journal of computational molecular cell biology·2025

Same author

Randomized feature selection based semi-supervised latent Dirichlet allocation for microbiome analysis.

Scientific reports·2024

Same author

KE: A Knowledge Enhancing Framework for Machine Learning Models.

The journal of physical chemistry. A·2023

Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026

Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026

Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026

Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026

Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026

Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 5, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

PMS: a panoptic motif search tool.

Hieu Dinh¹, Sanguthevar Rajasekaran

¹Computer Science and Engineering Department, University of Connecticut, Storrs, Connecticut, United States of America.

|December 11, 2013

Summary

This summary is machine-generated.

This study introduces the Panoptic Motif Search (PMS) tool, an online resource for identifying DNA/Protein motifs using the (l,d) motif model. The PMS tool aids scientists in discovering unknown motifs, with many predictions already verified.

More Related Videos

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

Related Experiment Videos

Last Updated: May 5, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

Area of Science:

Bioinformatics
Computational Biology

Background:

Identifying DNA/Protein motifs is essential in biological research.
Computational methods offer significant advantages for motif identification.
Various computational models for motif analysis exist in scientific literature.

Purpose of the Study:

To introduce a novel web tool for motif discovery.
To leverage the (l,d) motif model for enhanced motif identification.
To provide scientists with an accessible computational resource for biological motif analysis.

Main Methods:

Development of a web tool named Panoptic Motif Search (PMS).
Predominant use of the (l,d) motif model within the tool.
Implementation of state-of-the-art algorithms for motif search.

Main Results:

The PMS online tool facilitates the identification of numerous unknown motifs.
A significant number of motif predictions made by the tool have been experimentally validated.
The tool is freely accessible online without requiring a login.

Conclusions:

The PMS tool is a valuable resource for biologists seeking to identify DNA/Protein motifs.
The (l,d) motif model, implemented in PMS, proves effective for motif discovery.
Wider adoption of the PMS tool is encouraged to advance biological research.