Clinical Notes: Presentation of affective illness varies with age

2001 ◽  
Keyword(s):  
Clinical Notes ◽  
Affective Illness

Some Clinical Notes on Forced Stuttering

1972 ◽  
Vol 37 (2) ◽  
pp. 177-186 ◽  
Author(s):  
Oliver Bloodstein ◽  
Roberta Levy Shogan
Keyword(s):  
Loss Of Control ◽  
Clinical Notes ◽  
High Degree

Stutterers sometimes report that by exerting articulatory pressure they can force themselves to have “real” blocks. A procedure was devised for instructing subjects to force stuttering under various conditions and for recording their introspections. Most subjects were able to force at least a few blocks which they regarded as real. Most of the words on which the attempts were said to succeed were feared or difficult words, and at times subjects assisted the process by “telling” themselves that they would not be able to say the word. Fewer subjects were able to force blocks on isolated sounds than on words, and almost none claimed to succeed on mere articulatory contacts. Subjects repeatedly characterized “real” stuttering as involving feelings of physical tension and loss of control over speech. The nature of the forced block is discussed with reference to a concept of stuttering as a struggle reaction which has acquired a high degree of automaticity.

Conditioning and Sensitisation in the Longitudinal Course of Affective Illness

1986 ◽  
Vol 149 (2) ◽  
pp. 191-201 ◽  
Author(s):  
Robert M. Post ◽  
David R. Rubinow ◽  
James C. Ballenger
Keyword(s):  
Depressive Illness ◽  
Manic Depressive Illness ◽  
Conceptual Approach ◽  
Longitudinal Course ◽  
Behavioural Sensitisation ◽  
Affective Illness ◽  
Biological Variables ◽  
Manic Depressive ◽  
Progressive Course

Few biological theories of manic-depressive illness have focused on the longitudinal course of affective dysfunction and the mechanisms underlying its often recurrent and progressive course. The authors discuss two models for the development of progressive behavioural dysfunction—behavioural sensitisation and electrophysiological kindling—as they provide clues to important clinical and biological variables relevant to sensitisation in affective illness. The role of environmental context and conditioning in mediating behavioural and biochemical aspects of this sensitisation is emphasised. The sensitisation models provide a conceptual approach to previously inexplicable clinical phenomena in the longitudinal course of affective illness and may provide a bridge between psychoanalytic/psychosocial and neurobiological formulations of manic-depressive illness.

scholarly journals Ascertaining Framingham heart failure phenotype from inpatient electronic health record data using natural language processing: a multicentre Atherosclerosis Risk in Communities (ARIC) validation study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e047356
Author(s):  
Carlton R Moore ◽  
Saumya Jain ◽  
Stephanie Haas ◽  
Harish Yadav ◽  
Eric Whitsel ◽  
...  
Keyword(s):  
Language Processing ◽  
Validation Dataset ◽  
Free Text ◽  
Electronic Health Record Data ◽  
Atherosclerosis Risk In Communities ◽  
Clinical Notes ◽  
Atherosclerosis Risk ◽  
Record Data ◽  
Sensitivity Specificity ◽  
Aric Study

ObjectivesUsing free-text clinical notes and reports from hospitalised patients, determine the performance of natural language processing (NLP) ascertainment of Framingham heart failure (HF) criteria and phenotype.Study designA retrospective observational study design of patients hospitalised in 2015 from four hospitals participating in the Atherosclerosis Risk in Communities (ARIC) study was used to determine NLP performance in the ascertainment of Framingham HF criteria and phenotype.SettingFour ARIC study hospitals, each representing an ARIC study region in the USA.ParticipantsA stratified random sample of hospitalisations identified using a broad range of International Classification of Disease, ninth revision, diagnostic codes indicative of an HF event and occurring during 2015 was drawn for this study. A randomly selected set of 394 hospitalisations was used as the derivation dataset and 406 hospitalisations was used as the validation dataset.InterventionUse of NLP on free-text clinical notes and reports to ascertain Framingham HF criteria and phenotype.Primary and secondary outcome measuresNLP performance as measured by sensitivity, specificity, positive-predictive value (PPV) and agreement in ascertainment of Framingham HF criteria and phenotype. Manual medical record review by trained ARIC abstractors was used as the reference standard.ResultsOverall, performance of NLP ascertainment of Framingham HF phenotype in the validation dataset was good, with 78.8%, 81.7%, 84.4% and 80.0% for sensitivity, specificity, PPV and agreement, respectively.ConclusionsBy decreasing the need for manual chart review, our results on the use of NLP to ascertain Framingham HF phenotype from free-text electronic health record data suggest that validated NLP technology holds the potential for significantly improving the feasibility and efficiency of conducting large-scale epidemiologic surveillance of HF prevalence and incidence.

scholarly journals Patient representation learning and interpretable evaluation using clinical notes

2018 ◽  
Vol 84 ◽  
pp. 103-113 ◽  
Author(s):  
Madhumita Sushil ◽  
Simon Šuster ◽  
Kim Luyckx ◽  
Walter Daelemans
Keyword(s):  
Representation Learning ◽  
Clinical Notes

scholarly journals Dementia and Major Neurocognitive Disorders: Some Lessons Learned One Century after the first Alois Alzheimer’s Clinical Notes

Geriatrics ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 5
Author(s):  
Donatella Rita Petretto ◽  
Gian Pietro Carrogu ◽  
Luca Gaviano ◽  
Lorenzo Pili ◽  
Roberto Pili
Keyword(s):  
Young Woman ◽  
Clinical Signs ◽  
Signs And Symptoms ◽  
Neurocognitive Disorders ◽  
Lessons Learned ◽  
Alzheimer Dementia ◽  
Clinical Notes ◽  
Alois Alzheimer ◽  
Clinical Signs And Symptoms

Over 100 years ago, Alois Alzheimer presented the clinical signs and symptoms of what has been later called “Alzheimer Dementia” in a young woman whose name was Augustine Deter [...]

Developing a Surgical Site Infection Surveillance System Based on Hospital Unstructured Clinical Notes and Text Mining

2020 ◽  
Vol 21 (8) ◽  
pp. 716-721 ◽  
Author(s):  
Marta Luisa Ciofi Degli Atti ◽  
Fabrizio Pecoraro ◽  
Simone Piga ◽  
Daniela Luzi ◽  
Massimiliano Raponi
Keyword(s):  
Text Mining ◽  
Surgical Site Infection ◽  
Surveillance System ◽  
Site Infection ◽  
Clinical Notes ◽  
Infection Surveillance
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