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dc3d345 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 | // NephroScreen frontend. Same-origin API by default; override API_BASE when the
// frontend is hosted separately from the backend (e.g. Vercel + Render).
const API_BASE = window.NEPHRO_API_BASE || "";
const EXAMPLE = {
age: 62, bp: 80, sg: 1.01, al: 3, su: 0, bgr: 148, bu: 86, sc: 3.2,
sod: 135, pot: 4.6, hemo: 9.5, pcv: 28, wbcc: 9800, rbcc: 3.4,
rbc: "abnormal", pc: "abnormal", pcc: "present", ba: "notpresent",
htn: "yes", dm: "yes", cad: "no", appet: "poor", pe: "yes", ane: "yes",
};
const $ = (sel) => document.querySelector(sel);
async function init() {
try {
const meta = await fetch(`${API_BASE}/api/metadata`).then((r) => r.json());
renderModelStrip(meta);
renderFields(meta);
} catch (e) {
$("#modelStrip").innerHTML =
'<span class="muted">API offline — start the backend to enable predictions.</span>';
}
$("#predictForm").addEventListener("submit", onSubmit);
$("#exampleBtn").addEventListener("click", loadExample);
}
function renderModelStrip(meta) {
const rf = (meta.metrics && meta.metrics["Random Forest"]) || {};
const chips = [
["Model", "Random Forest"],
["Accuracy", rf.accuracy != null ? rf.accuracy + "%" : "—"],
["Recall", rf.recall != null ? rf.recall + "%" : "—"],
["ROC-AUC", rf.roc_auc != null ? rf.roc_auc : "—"],
["Threshold", meta.threshold],
];
$("#modelStrip").innerHTML = chips
.map(([k, v]) => `<span class="metric-chip">${k} <b>${v}</b></span>`)
.join("");
}
function renderFields(meta) {
$("#numericFields").innerHTML = meta.numeric_fields
.map(
(f) => `<div class="field">
<label for="${f.name}">${f.label}</label>
<input type="number" step="any" id="${f.name}" name="${f.name}" placeholder="—" />
</div>`
)
.join("");
$("#categoricalFields").innerHTML = meta.categorical_fields
.map((f) => {
const opts = ['<option value="">—</option>']
.concat(f.choices.map((c) => `<option value="${c}">${c}</option>`))
.join("");
return `<div class="field">
<label for="${f.name}">${f.label}</label>
<select id="${f.name}" name="${f.name}">${opts}</select>
</div>`;
})
.join("");
}
function loadExample() {
for (const [k, v] of Object.entries(EXAMPLE)) {
const el = document.getElementById(k);
if (el) el.value = v;
}
}
function collect() {
const payload = {};
new FormData($("#predictForm")).forEach((value, key) => {
if (value === "" || value == null) return;
const num = Number(value);
payload[key] = Number.isNaN(num) || value.match(/[a-z]/i) ? value : num;
});
return payload;
}
async function onSubmit(evt) {
evt.preventDefault();
const btn = $("#submitBtn");
btn.disabled = true;
btn.textContent = "Analyzing…";
try {
const res = await fetch(`${API_BASE}/api/predict`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(collect()),
});
if (!res.ok) throw new Error(await res.text());
renderResult(await res.json());
} catch (e) {
alert("Prediction failed: " + e.message);
} finally {
btn.disabled = false;
btn.textContent = "Estimate CKD risk";
}
}
function renderResult(r) {
const pct = Math.round(r.probability * 100);
const ring =
r.risk_band === "High" ? "#dc2626" : r.risk_band === "Moderate" ? "#d97706" : "#16a34a";
$("#resultCard").innerHTML = `
<div class="gauge" style="--p:${pct}; --ring:${ring}"><span>${pct}%</span></div>
<div class="verdict">
<h3>${r.prediction}</h3>
<div class="band band-${r.risk_band}">${r.risk_band} risk</div>
<p>Model probability of CKD: ${pct}% · decision threshold ${r.threshold}</p>
</div>`;
const inds = r.key_indicators || [];
$("#indicators").innerHTML = inds.length
? inds
.map(
(i) => `<div class="indicator">
<span>${i.label} — <b>${i.value}</b> <span class="muted">(normal ${i.normal_range})</span></span>
<span class="tag ${i.flag}">${i.flag.toUpperCase()}</span>
</div>`
)
.join("")
: '<div class="empty">No entered lab values fall outside typical reference ranges.</div>';
$("#disclaimer").textContent = r.disclaimer;
$("#resultPanel").hidden = false;
$("#resultPanel").scrollIntoView({ behavior: "smooth", block: "nearest" });
}
init();
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