{"id":"https://openalex.org/W7204234554","doi":"https://doi.org/10.68012/heal.v1i2.198","title":"Interpretable Deep Learning Models for Transparent Health Decision Support Systems","display_name":"Interpretable Deep Learning Models for Transparent Health Decision Support Systems","publication_year":2026,"publication_date":"2026-05-31","ids":{"openalex":"https://openalex.org/W7204234554","doi":"https://doi.org/10.68012/heal.v1i2.198"},"language":"en","primary_location":{"id":"doi:10.68012/heal.v1i2.198","doi":"https://doi.org/10.68012/heal.v1i2.198","is_oa":true,"landing_page_url":"https://doi.org/10.68012/heal.v1i2.198","pdf_url":"https://journal.sundarapublishing.com/index.php/heal/article/download/198/107","source":{"id":"https://openalex.org/S7407064018","display_name":"Health Empathy and AI Learning (HEAL)","issn_l":"3163-267X","issn":["3163-267X","3163-2661"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health, Empathy, and AI Learning (HEAL)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://journal.sundarapublishing.com/index.php/heal/article/download/198/107","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070460806","display_name":"Deni Sunaryo","orcid":"https://orcid.org/0000-0002-1897-7587","observed_orcids":["https://orcid.org/0000-0002-1897-7587"]},"institutions":[{"id":"https://openalex.org/I3132488046","display_name":"Serang Raya University","ror":"https://ror.org/04zc7sw86","country_code":"ID","type":"education","lineage":["https://openalex.org/I3132488046"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Deni Sunaryo","raw_affiliation_strings":["Serang Raya University"],"raw_orcid":"https://orcid.org/0000-0002-1897-7587","affiliations":[{"raw_affiliation_string":"Serang Raya University","institution_ids":["https://openalex.org/I3132488046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133485620","display_name":"Antonius Ary Setyawan","orcid":"https://orcid.org/0009-0007-2575-1125","observed_orcids":["https://orcid.org/0009-0007-2575-1125"]},"institutions":[{"id":"https://openalex.org/I4405275089","display_name":"Sekolah Tinggi Ilmu Komputer Yos Sudarso","ror":"https://ror.org/02yq2qk66","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405275089"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Antonius Ary Setyawan","raw_affiliation_strings":["Sekolah Tinggi Ilmu Komputer Yos Sudarso"],"raw_orcid":"https://orcid.org/0009-0007-2575-1125","affiliations":[{"raw_affiliation_string":"Sekolah Tinggi Ilmu Komputer Yos Sudarso","institution_ids":["https://openalex.org/I4405275089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023227121","display_name":"Po Abas Sunarya","orcid":"https://orcid.org/0000-0002-3869-2837","observed_orcids":["https://orcid.org/0000-0002-3869-2837"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Po Abas Sunarya","raw_affiliation_strings":["APTISI"],"raw_orcid":"https://orcid.org/0000-0002-3869-2837","affiliations":[{"raw_affiliation_string":"APTISI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114887106","display_name":"Sondang Visiana Sihotang","orcid":"https://orcid.org/0009-0008-4042-5798","observed_orcids":["https://orcid.org/0009-0008-4042-5798"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sondang Visiana Sihotang","raw_affiliation_strings":["Casindo Group"],"raw_orcid":"https://orcid.org/0009-0008-4042-5798","affiliations":[{"raw_affiliation_string":"Casindo Group","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093788205","display_name":"Putri Anahera Oganda","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Putri Anahera Oganda","raw_affiliation_strings":["MFinitee Incorporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MFinitee Incorporation","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":"2","first_page":"186","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/explainable-deep-learning","display_name":"explainable deep learning","score":0.9909999966621399},{"id":"https://openalex.org/keywords/clinical-decision-support-systems","display_name":"clinical decision support systems","score":0.8690000176429749},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.640999972820282},{"id":"https://openalex.org/keywords/shap","display_name":"SHAP","score":0.8420000076293945},{"id":"https://openalex.org/keywords/grad-cam","display_name":"Grad-CAM","score":0.9990000128746033},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.972000002861023},{"id":"https://openalex.org/keywords/diagnostic-imaging","display_name":"diagnostic imaging","score":0.6019999980926514},{"id":"https://openalex.org/keywords/chest-x-ray","display_name":"chest radiography","score":0.7720000147819519},{"id":"https://openalex.org/keywords/electronic-health-records","display_name":"electronic health records","score":0.9990000128746033},{"id":"https://openalex.org/keywords/diabetes-prediction","display_name":"diabetes prediction","score":0.8009999990463257},{"id":"https://openalex.org/keywords/model-transparency","display_name":"model transparency","score":0.4880000054836273},{"id":"https://openalex.org/keywords/trustworthy-ai","display_name":"trustworthy AI","score":0.6399999856948853},{"id":"https://openalex.org/keywords/patient-safety","display_name":"patient safety","score":0.531000018119812},{"id":"https://openalex.org/keywords/feature-attribution","display_name":"feature attribution","score":0.6539999842643738}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8845000267028809},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8235999941825867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7063000202178955},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.6270999908447266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5795999765396118},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5382999777793884},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5221999883651733},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.5160999894142151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49410000443458557},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.4348999857902527},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.40380001068115234},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.36570000648498535},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.31869998574256897},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3122999966144562},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C2989179672","wikidata":"https://www.wikidata.org/wiki/Q6806500","display_name":"Clinical decision making","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C2780433410","wikidata":"https://www.wikidata.org/wiki/Q5276090","display_name":"Digital health","level":3,"score":0.2985000014305115},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C154874363","wikidata":"https://www.wikidata.org/wiki/Q3518464","display_name":"Medical classification","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2802000045776367},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2574000060558319},{"id":"https://openalex.org/C2780033181","wikidata":"https://www.wikidata.org/wiki/Q24962805","display_name":"Decision aids","level":3,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.68012/heal.v1i2.198","doi":"https://doi.org/10.68012/heal.v1i2.198","is_oa":true,"landing_page_url":"https://doi.org/10.68012/heal.v1i2.198","pdf_url":"https://journal.sundarapublishing.com/index.php/heal/article/download/198/107","source":{"id":"https://openalex.org/S7407064018","display_name":"Health Empathy and AI Learning (HEAL)","issn_l":"3163-267X","issn":["3163-267X","3163-2661"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health, Empathy, and AI Learning (HEAL)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.68012/heal.v1i2.198","doi":"https://doi.org/10.68012/heal.v1i2.198","is_oa":true,"landing_page_url":"https://doi.org/10.68012/heal.v1i2.198","pdf_url":"https://journal.sundarapublishing.com/index.php/heal/article/download/198/107","source":{"id":"https://openalex.org/S7407064018","display_name":"Health Empathy and AI Learning (HEAL)","issn_l":"3163-267X","issn":["3163-267X","3163-2661"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health, Empathy, and AI Learning (HEAL)","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9391000270843506,"display_name":"Good health and well-being"},{"id":"https://metadata.un.org/sdg/10","score":0.5676000118255615,"display_name":"Reduced inequalities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204234554.pdf","grobid_xml":"https://content.openalex.org/works/W7204234554.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W4414982067"],"related_works":["https://openalex.org/W4410874887","https://openalex.org/W4415077908","https://openalex.org/W6949558310","https://openalex.org/W4410854534","https://openalex.org/W4392132585","https://openalex.org/W7218108908","https://openalex.org/W4416054226","https://openalex.org/W4401099699","https://openalex.org/W7161175607","https://openalex.org/W4406725884"],"abstract_inverted_index":{"The":[0,63,139,199],"increasing":[1],"adoption":[2],"of":[3,186],"deep":[4,25,54,70,144],"learning":[5,26,55,145],"in":[6,35,189],"healthcare":[7,91,190],"has":[8],"created":[9],"significant":[10],"opportunities":[11],"for":[12,57,156],"improving":[13],"medical":[14,84,157],"diagnosis,":[15],"patient":[16,42,102,170,212],"risk":[17,171],"prediction,":[18],"and":[19,41,51,77,86,100,123,136,161,173,195,214],"clinical":[20,87,109,137,174,197],"decision":[21,60,134],"support.":[22],"However,":[23],"many":[24],"models":[27,56,146],"remain":[28],"difficult":[29],"to":[30,49,79,106,183],"interpret,":[31],"limiting":[32],"their":[33],"acceptance":[34],"health":[36,59,98,210,217],"systems":[37],"where":[38],"transparency,":[39],"accountability,":[40],"safety":[43],"are":[44,104],"essential.":[45],"This":[46,180],"study":[47,181],"aims":[48],"develop":[50],"evaluate":[52],"interpretable":[53,143],"transparent":[58],"support":[61],"systems.":[62],"proposed":[64],"approach":[65],"integrates":[66],"convolutional":[67],"neural":[68,71],"networks,":[69,72],"attention":[73],"mechanisms,":[74],"SHAP":[75],"values,":[76],"Grad-CAM":[78],"explain":[80],"model":[81,178],"predictions":[82],"across":[83],"imaging":[85],"tabular":[88],"datasets.":[89],"Public":[90],"datasets,":[92],"including":[93],"chest":[94],"X-ray":[95],"images,":[96],"electronic":[97],"records,":[99,103],"diabetes":[101],"used":[105],"represent":[107],"real":[108],"decision-making":[110],"contexts.":[111],"Model":[112],"performance":[113,151],"is":[114,127,201],"evaluated":[115],"using":[116],"accuracy,":[117],"precision,":[118],"recall,":[119],"F1-score,":[120],"AUC,":[121],"sensitivity,":[122],"specificity,":[124],"while":[125,152],"interpretability":[126],"assessed":[128],"through":[129],"explanation":[130],"clarity,":[131],"feature":[132,162],"relevance,":[133],"traceability,":[135],"usefulness.":[138],"findings":[140],"indicate":[141],"that":[142,176],"can":[147],"provide":[148],"reliable":[149],"predictive":[150],"offering":[153],"clearer":[154],"explanations":[155],"decisions.":[158],"Visual":[159],"heatmaps":[160],"attribution":[163],"outputs":[164],"help":[165],"identify":[166],"relevant":[167],"disease":[168],"indicators,":[169],"factors,":[172],"variables":[175],"influence":[177],"predictions.":[179],"contributes":[182],"the":[184],"development":[185],"trustworthy":[187],"AI":[188],"by":[191,207],"supporting":[192],"transparent,":[193],"ethical,":[194],"human-centered":[196],"decision-making.":[198],"research":[200],"also":[202],"aligned":[203],"with":[204],"SDG":[205],"3":[206],"promoting":[208],"better":[209],"outcomes,":[211],"safety,":[213],"responsible":[215],"digital":[216],"innovation.":[218]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-08-27T00:00:00"}