Rahimi Research Lab

Inventory of AI Interventions in Community Based Primary Health Care

Case NumberPaper NameAuthors or developersCountryCreation or publication date
1Type 2 Diabetes Screening Test by Means of a Pulse OximeterE. M. Moreno
M. J. A. Luján
M. T. Rusiñol
P. J. Fernández
P. N. Manrique
C. A. Triviño
M. P. Miquel
M. A. Rodr\xadguez
M. J. G. Burguillos
Spain2017
2ProPath - A guideline based software for the implementation into the medical environment
S. Klausner
K. Entacher
S. Kranzer
A. Sönnichsen
M. Flamm
G. Fritsch
Austria2014
3Tackling Missing Data in Community Health Studies Using Additive LS-SVM ClassifierG. Wang
Z. Deng
K. S. Choi
China2018
4Rapid identification of familial hypercholesterolemia from electronic health records: the SEARCH studySafarova, Ms
Liu, H
Kullo, Ij
USA2016
5A bioinformatics approach to identify patients with symptomatic peanut allergy using peptide microarray immunoassayLin, J
Bruni, Fm
Fu, Z
Maloney, J
Bardina, L
Boner, Al
Gimenez, G
Sampson, Ha
USA2012
6Medicine in words and numbers: a cross-sectional survey comparing probability assessment scalesWitteman, Cl
Renooij, S
Koele, P
Netherlands2007
7Development of an Automatic Diagnostic Algorithm for Pediatric Otitis MediaTran, T. T.
Fang, T. Y.
Pham, V. T.
Lin, C.
Wang, P. C.
Lo, M. T.
Taiwan2018
8Using natural language processing for identification of herpes zoster ophthalmicus cases to support population-based studyZheng, C.
Luo, Y.
Mercado, C.
Sy, L.
Jacobsen, S. J.
Ackerson, B.
Lewin, B.
Tseng, H. F.
USA2018
9A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home ResidentsGannod, G. C.
Abbott, K. M.
Van Haitsma, K.
Martindale, N.
Heppner, A.
USA2018
10A web-based prediction score for head and neck cancer referralsLau, K.
Wilkinson, J.
Moorthy, R.
United Kingdom2018
11Long-term outcomes of a large, prospective observational cohort of older adults with back painJarvik, J. G.
Gold, L. S.
Tan, K.
Friedly, J. L.
Nedeljkovic, S. S.
Comstock, B. A.
Deyo, R. A.
Turner, J. A.
Bresnahan, B. W.
Rundell, S. D.
James, K. T.
Nerenz, D. R.
Avins, A. L.
Bauer, Z.
Kessler, L.
Heagerty, P. J.
USA2018
12Innovative Informatics Approaches for Peripheral Artery Disease: Current State and Provider Survey of Strategies for Improving Guideline-Based CareChaudhry, A. P.
Afzal, N.
Abidian, M. M.
Mallipeddi, V. P.
Elayavilli, R. K.
Scott, C. G.
Kullo, I. J.
Wennberg, P. W.
Pankratz, J. J.
Liu, H.
Chaudhry, R.
Arruda-Olson, A. M.
USA2018
13A new computational intelligence approach to detect autistic features for autism screeningThabtah, F.
Kamalov, F.
Rajab, K.
University of Cambridge United Kingdom2018
14Chronic obstructive lung disease "expert system": validation of a predictive tool for assisting diagnosisBraido, F.
Santus, P.
Corsico, A. G.
Di Marco, F.
Melioli, G.
Scichilone, N.
Solidoro, P.
Italy2018
15A machine learning based approach to identify protected health information in Chinese clinical textDu, L.
Xia, C.
Deng, Z.
Lu, G.
Xia, S.
Ma, J.
China2018
16Automatic address validation and health record review to identify homeless Social Security disability applicantsErickson, J.
Abbott, K.
Susienka, L.
USA2018
17Quantifying the incidence and burden of herpes zoster in New Zealand general practice: a retrospective cohort study using a natural language processing software inference algorithmTurner, N. M.
MacRae, J.
Nowlan, M. L.
McBain, L.
Stubbe, M. H.
Dowell, A.
New Zealand2018
18Methods for estimating kidney disease stage transition probabilities using electronic medical recordsLuo, L.
Small, D.
Stewart, W. F.
Roy, J. A.
USA2013
19Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor TrainingLee, S. I.
Adans-Dester, C. P.
Grimaldi, M.
Dowling, A. V.
Horak, P. C.
Black-Schaffer, R. M.
Bonato, P.
Gwin, J. T.
USA2018
20External validation of ADO, DOSE, COTE and CODEX at predicting death in primary care patients with COPD using standard and machine learning approachesMorales, D. R.
Flynn, R.
Zhang, J.
Trucco, E.
Quint, J. K.
Zutis, K.
UK2018
21Automatic infection detection based on electronic medical recordsTou, H.
Yao, L.
Wei, Z.
Zhuang, X.
Zhang, B.
China2018
22Detecting Motor Impairment in Early Parkinson's Disease via Natural Typing Interaction With Keyboards: Validation of the neuroQWERTY Approach in an Uncontrolled At-Home SettingArroyo-Gallego, T.
Ledesma-Carbayo, M. J.
Butterworth, I.
Matarazzo, M.
Montero-Escribano, P.
Puertas-Martin, V.
Gray, M. L.
Giancardo, L.
Sanchez-Ferro, A.
Spain2018
23Home Health Care: Nurse-Physician Communication, Patient Severity, and Hospital ReadmissionPesko, M. F.
Gerber, L. M.
Peng, T. R.
Press, M. J.
USA2018
24Examining Healthcare Utilization Patterns of Elderly Middle-Aged Adults in the United StatesZayas, C. E.
He, Z.
Yuan, J.
Maldonado-Molina, M.
Hogan, W.
Modave, F.
Guo, Y.
Bian, J.
USA2016
25Data-based Decision Rules to Personalize Depression Follow-upLin, Y.
Huang, S.
Simon, G. E.
Liu, S.
USA2018
26A risk score including body mass index, glycated haemoglobin and triglycerides predicts future glycaemic control in people with type 2 diabetesHertroijs, D. F. L.
Elissen, A. M. J.
Brouwers, Mcgj
Schaper, N. C.
Kohler, S.
Popa, M. C.
Asteriadis, S.
Hendriks, S. H.
Bilo, H. J.
Ruwaard, D.
Netherlands2018
27Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical recordsKop, R.
Hoogendoorn, M.
Teije, A. T.
Buchner, F. L.
Slottje, P.
Moons, L. M.
Numans, M. E.
Netherlands2016
28Natural language processing improves identification of colorectal cancer testing in the electronic medical recordDenny, J. C.
Choma, N. N.
Peterson, J. F.
Miller, R. A.
Bastarache, L.
Li, M.
Peterson, N. B.
USA2012
29Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid ArthritisZhou, S. M.
Fernandez-Gutierrez, F.
Kennedy, J.
Cooksey, R.
Atkinson, M.
Denaxas, S.
Siebert, S.
Dixon, W. G.', "O'Neill, T. W.", 'Choy, E.
Sudlow, C.
U. K. Biobank Follow-up,Outcomes
Group,Brophy
UK2016
30Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancerHoogendoorn, M.
Szolovits, P.
Moons, L. M. G.
Numans, M. E.
Netherlands2016
31Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimizationHuang, D.
Wu, Z.
China2017
32Comparison of the Effectiveness of Interactive Didactic Lecture Versus Online Simulation-Based CME Programs Directed at Improving the Diagnostic Capabilities of Primary Care PractitionersMcFadden, P.
Crim, A.
USA2016
33Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research databaseKarystianis, G.
Sheppard, T.
Dixon, W. G.
Nenadic, G.
UK2016
34Identifying acute kidney injury in the community - a novel informatics approachXu, G.
Player, P.
Shepherd, D.
Brunskill, N. J.
UK2016
35Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expertMacRae, J.
Love, T.
Baker, M. G.
Dowell, A.
Carnachan, M.
Stubbe, M.
McBain, L.
New Zealand2015
36Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated methodPatel, R.
Jayatilleke, N.
Broadbent, M.
Chang, C. K.
Foskett, N.
Gorrell, G.
Hayes, R. D.
Jackson, R.
Johnston, C.
Shetty, H.
Roberts, A.
McGuire, P.
Stewart, R.
UK2015
37Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation recordsMacRae, J.
Darlow, B.
McBain, L.
Jones, O.
Stubbe, M.
Turner, N.
Dowell, A.
New Zealand2015
38Automatic Detection of Skin and Subcutaneous Tissue Infections from Primary Care Electronic Medical RecordsGu, Y.
Kennelly, J.
Warren, J.
Nathani, P.
Boyce, T.
New Zealand2015
39 Communication Between Home Health Nurses and Physicians: Measurement, Quality, and OutcomesPress, M. J.
Gerber, L. M.
Peng, T. R.
Pesko, M. F.
Feldman, P. H.
Ouchida, K.
Sridharan, S.
Bao, Y.
Barron, Y.
Casalino, L. P.
USA2015
40Regular expression-based learning to extract bodyweight values from clinical notesMurtaugh, M. A.
Gibson, B. S.
Redd, D.
Zeng-Treitler, Q.
USA2015
41Monitoring suicidal patients in primary care using electronic health recordsAnderson, H. D.
Pace, W. D.
Brandt, E.
Nielsen, R. D.
Allen, R. R.
Libby, A. M.
West, D. R.
Valuck, R. J.
USA2015
42Measuring physician adherence with gout quality indicators: a role for natural language processingKerr, G. S.
Richards, J. S.
Nunziato, C. A.
Patterson, O. V.
DuVall, S. L.
Aujero, M.
Maron, D.
Amdur, R.
USA2015
43Prevalence of heart failure signs and symptoms in a large primary care population identified through the use of text and data mining of the electronic health recordVijayakrishnan, R.
Steinhubl, S. R.
Ng, K.
Sun, J.
Byrd, R. J.
Daar, Z.
Williams, B. A.
eFilippi, C.
Ebadollahi, S.
Stewart, W. F.
USA2014
44Multilevel temporal Bayesian networks can model longitudinal change in multimorbidityLappenschaar, M.
Hommersom, A.
Lucas, P. J.
Lagro, J.
Visscher, S.
Korevaar, J. C.
Schellevis, F. G.
Netherlands2013
45Patient-tailored prioritization for a pediatric care decision support system through machine learningKlann, J. G.
Anand, V.
Downs, S. M.
USA2013
46Automatic generation of case-detection algorithms to identify children with asthma from large electronic health record databasesAfzal, Z.
Engelkes, M.
Verhamme, K. M.
Janssens, H. M.
Sturkenboom, M. C.
Kors, J. A.
Schuemie, M. J.
Netherlands2013
47The use of data-mining to identify indicators of health-related quality of life in patients with irritable bowel syndromePenny, K. I.
Smith, G. D.
UK2012
48Using Medical Text Extraction, Reasoning and Mapping System (MTERMS) to process medication information in outpatient clinical notesZhou, L.
Plasek, J. M.
Mahoney, L. M.
Karipineni, N.
Chang, F.
Yan, X.
Chang, F.
Dimaggio, D.
Goldman, D. S.
Rocha, R. A.
USA2011
49Application of artificial neural networks to a study of nursing burnoutLadstatter, F.
Garrosa, E.
Badea, C.
Moreno, B.
Spain2010
50Data mining of tuberculosis patient data using multiple correspondence analysisRennie, T. W.
Roberts, W.
UK2019
51Agreement between patient-reported symptoms and their documentation in the medical recordPakhomov, S. V.
Jacobsen, S. J.
Chute, C. G.
Roger, V. L.
USA2008
52An expert system for headache diagnosis: the Computerized Headache Assessment tool (CHAT)Maizels, M.
Wolfe, W. J.
USA2008
53The K-nearest neighbor algorithm predicted rehabilitation potential better than current Clinical Assessment ProtocolZhu, M.
Chen, W.
Hirdes, J. P.
Stolee, P.
Canada2007
54Neural networks for longitudinal studies in Alzheimer's diseaseTandon, R.
Adak, S.
Kaye, J. A.
India2006
55Intention to adopt a smoking cessation expert system within a self-selected sample of Dutch general practitionersHoving, C.
Mudde, A. N.
e Vries, H.
Netherlands2006
56Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centersGoldstein, M. K.
Coleman, R. W.
Tu, S. W.
Shankar, R. D.', "O'Connor, M. J.", 'Musen, M. A.
Martins, S. B.
Lavori, P. W.
Shlipak, M. G.
Oddone, E.
Advani, A. A.
Gholami, P.
Hoffman, B. B.
USA2004
57Using an artificial neural network to predict healing times and risk factors for venous leg ulcersTaylor, R. J.
Taylor, A. D.
Smyth, J. V.
UK2002
58Validation of a knowledge based reminder system for diagnostic test ordering in general practiceBindels, R.
Winkens, R. A.
Pop, P.
van Wersch, J. W.
Talmon, J.
Hasman, A.
Netherlands2001
59The use of a computer-based decision support system facilitates primary care physicians' management of chronic painKnab, J. H.
Wallace, M. S.
Wagner, R. L.
Tsoukatos, J.
Weinger, M. B.
USA2001
60Initial use of a computer system for assisting dermatological diagnosis in general practiceSmith, H. R.
Ashton, R. E.
Brooks, G. J.
UK2000
61Electronic surveillance of disease states: a preliminary study in electronic detection of respiratory diseases in a primary care settingHung, J.
Posey, J.
Freedman, R.
Thorton, T.
USA1998
62Modeling obesity using abductive networksAbdel-Aal, R. E.
Mangoud, A. M.
UAE1997
63A diagnostic support system in general practice: is it feasible?Ridderikhoff, J.
van Herk, E.
Netherlands1997
64Comparison of an expert system with other clinical scores for the evaluation of severity of asthmaGautier, V.
Redier, H.
Pujol, J. L.
Bousquet, J.
Proudhon, H.
Michel, C.
Daures, J. P.
Michel, F. B.
Godard, P.
France1996
65An expert system for performance-based direct delivery of published clinical evidenceBalas, E. A.
Li, Z. R.
Spencer, D. C.
Jaffrey, F.
Brent, E.
Mitchell, J. A.
USA1996
66Categorization of major depression in an outpatient sampleHaslam, N.
Beck, A. T.
USA1993
67Predicting suicidal ideation in primary care: An approach to identify easily assessable key variablesJordan, P.
Shedden-Mora, M. C.
Löwe, B.
Germany2018
68Predicting out-of-office blood pressure in the clinic for the diagnosis of hypertension in primary care: An economic evaluationMonahan, M.
Jowett, S.
Lovibond, K.
Gill, P.
Godwin, M.
Greenfield, S.
Hanley, J.
Hobbs, F. D. R.
Martin, U.
Mant, J.
McKinstry, B.
Williams, B.
Sheppard, J. P.
McManus, R. J.
UK2018
69Artificial neural network based prediction of malaria abundances using big data: A knowledge capturing approachThakur, S.
Dharavath, R.
India2018
70On an algorithm for decision-making for the optimization of disease prediction at the primary health care level using neural network clusteringSelskyy, P.
Vakulenko, D.
Televiak, A.
Veresiuk, T.
Ukraine2018
71Machine Learning Detection of Cognitive Impairment in Primary CareLevy, B.
Hogan, J.
Hess, C.
Greenspan, S.
Hogan, M.
Gable, S.
Falcon, K.
Elber, A.', "O'Connor, M.", 'Driscoll, D.
Hashmi, A.
USA2018
72Development and validation of clinical prediction models: Marginal differences between logistic regression, penalized maximum likelihood estimation, and genetic programmingJanssen, K. J. M.
Siccama, I.
Vergouwe, Y.
Koffijberg, H.
Debray, T. P. A.
Keijzer, M.
Grobbee, D. E.
Moons, K. G. M.
Netherlands2012
73A hybrid knowledge-based approach to supporting the medical prescription for general practitioners: Real case in a Hong Kong medical centerTing, S. L.
Kwok, S. K.
Tsang, A. H. C.
Lee, W. B.
China2011
74RACER: Rule-Associated CasE-based Reasoning for supporting General Practitioners in prescription makingTing, S. L.
Wang, W. M.
Kwok, S. K.
Tsang, A. H. C.
Lee, W. B.
Hong kong2010
75THE POTENTIAL FOR COMPUTER-AIDED DIAGNOSIS OF TROPICAL DISEASES IN DEVELOPING-COUNTRIES - AN EXPERT SYSTEM CASE-STUDYDoukidis, G. I.
Forster, D.
UK1990
76Applying a human-factors approach to improve usability of a decision support system in tele-nursing
Tariq, Amina
Westbrook, Johanna
Byrne, Mary
Robinson, Maureen
Baysari, Melissa T.
Australia2017
77Simple Prediction of Type 2 Diabetes Mellitus via Decision Tree ModelingSayadi, Mehrab
Zibaeenezhad, Mohammadjavad
Taghi Ayatollahi, Seyyed Mohammad
Iran2017
78An annotation and modeling schema for prescription regimensAberdeen, J.
Bayer, S.
Clark, C.
Keybl, M.
Tresner-Kirsch, D.
USA2019
79Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care officesAbramoff, M. D.
Lavin, P. T.
Birch, M.
Shah, N.
Folk, J. C.
USA2018
80TOWARD EVIDENCE-BASED PRACTICE. Predicting Common Maternal Postpartum Complications: Leveraging Health Administrative Data and Machine LearningAdams, ElliseAustralia2019
81Risk Assessment for Parents Who Suspect Their Child Has Autism Spectrum Disorder: Machine Learning ApproachBen-Sasson, Ayelet
Robins, Diana L.
Yom-Tov, Elad
Israel2018
82AUTOMATIC DIAGNOSIS OF RHEUMATOID ARTHRITIS FROM HAND RADIOGRAPHS USING CONVOLUTIONAL NEURAL NETWORKSBetancourt-Hernandez, M.
Viera-Lopez, G.
Serrano-Munoz, A.
Cuba2018
83Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infectionsBurton, R. J.
Albur, M.
Eberl, M.
Cuff, S. M.
UK2019
84Design of a Clinical Decision Support System for Predicting Erectile Dysfunction in Men Using NHIRD DatasetChen, Y. F.
Lin, C. S.
Hong, C. F.
Lee, D. J.
Sun, C.
Lin, H. H.
China2019
85Predicting atrial fibrillation in primary care using machine learningHill, N. R.
Ayoubkhani, D.
McEwan, P.
Sugrue, D. M.
Farooqui, U.
Lister, S.
Lumley, M.
Bakhai, A.
Cohen, A. T.', "O'Neill, M.", 'Clifton, D.
Gordon, J.
UK2019
86Evaluation of Artificial Intelligence-Based Grading of Diabetic Retinopathy in Primary CareKanagasingam, Y.
Xiao, D.
Vignarajan, J.
Preetham, A.
Tay-Kearney, M. L.
Mehrotra, A.
Australia2018
87Prognostic Modeling and Prevention of Diabetes Using Machine Learning TechniquesPerveen, S.
Shahbaz, M.
Keshavjee, K.
Guergachi, A.
Canada2019
88Scoring algorithms for a computer-based cognitive screening tool: An illustrative example of overfitting machine learning approaches and the impact on estimates of classification accuracyUrsenbach, J.', "O'Connell, M. E.", 'Neiser, J.
Tierney, M. C.
Morgan, D.
Kosteniuk, J.
Spiteri, R. J.
Canada2019
89Diagnostic Accuracy of a Device for the Automated Detection of Diabetic Retinopathy in a Primary Care SettingVerbraak, F. D.
Abramoff, M. D.
Bausch, G. C. F.
Klaver, C.
Nijpels, G.
Schlingemann, R. O.
van der Heijden, A. A.
Netherlands2019
90Does machine learning improve prediction of VA primary care reliance?Wong, E. S.
Schuttner, L.
Reddy, A.
USA2020
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